# Made with Ollama — full catalog

> A curated, daily-updated gallery of the best open-source projects built with Ollama, ranked by GitHub stars. Discover dashboards, UI kits, e-commerce, blogs and dev tools.

## About

- Gallery: https://madewithwhat.net/ollama/
- Curated summary: https://madewithwhat.net/ollama/llms.txt
- Projects indexed: 1,124
- Data source: GitHub (refreshed daily)
- Last scraped: 2026-07-22T09:29:07.865255+00:00

## AI & ML (1,051)

- [open-webui](https://madewithwhat.net/ollama/project/open-webui/): User-friendly AI Interface (Supports Ollama, OpenAI API,...) (145,348 stars)
- [NextChat](https://madewithwhat.net/ollama/project/nextchat/): Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows (88,459 stars, MIT)
- [headroom](https://madewithwhat.net/ollama/project/headroom/): Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server. (59,005 stars, Apache-2.0)
- [paperless-ngx](https://madewithwhat.net/ollama/project/paperless-ngx/): A community-supported supercharged document management system: scan, index and archive all your documents (43,005 stars, GPL-3.0)
- [chatbox](https://madewithwhat.net/ollama/project/chatbox/): Powerful AI Client (41,012 stars, GPL-3.0)
- [Langchain-Chatchat](https://madewithwhat.net/ollama/project/langchain-chatchat/): Langchain-Chatchat（Langchain-ChatGLM） Langchain ChatGLM, Qwen Llama RAG Agent | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain (38,426 stars, Apache-2.0)
- [1Panel](https://madewithwhat.net/ollama/project/1panel/): 1Panel is a modern, open-source VPS control panel — and the only one with native AI agent support. Run Ollama models, deploy OpenClaw agents, and manage your entire server stack from one clean web interface. (36,201 stars, GPL-3.0)
- [meetily](https://madewithwhat.net/ollama/project/meetily/): Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai - https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows. Understand How to write meeting minutes (24,922 stars, MIT)
- [MaxKB](https://madewithwhat.net/ollama/project/maxkb/): MaxKB is an open-source platform for building enterprise-grade agents. 。 (22,080 stars, GPL-3.0)
- [dyad](https://madewithwhat.net/ollama/project/dyad/): Local, open-source AI app builder for power users v0 / Lovable / Replit / Bolt alternative Star if you like it! (20,914 stars)
- [kirara-ai](https://madewithwhat.net/ollama/project/kirara-ai/): DIY AI | 、 QQ、Telegram、 | DeepSeek、Grok、Claude、Ollama、Gemini、OpenAI | 、、AI、、、 | (18,853 stars, AGPL-3.0)
- [WeKnora](https://madewithwhat.net/ollama/project/weknora/): Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. (18,249 stars)
- [deepwiki-open](https://madewithwhat.net/ollama/project/deepwiki-open/): Open Source DeepWiki: AI-Powered Wiki Generator for GitHub/Gitlab/Bitbucket Repositories. Join the discord: https://discord.gg/gMwThUMeme (17,355 stars, MIT)
- [LangBot](https://madewithwhat.net/ollama/project/langbot/): Production-grade platform for building agentic IM bots - / Agent、、 / Bots for Discord / Slack / LINE / Telegram / WeChat / / / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow (16,871 stars, Apache-2.0)
- [ChuanhuChatGPT](https://madewithwhat.net/ollama/project/chuanhuchatgpt/): GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI. (15,301 stars, GPL-3.0)
- [SurfSense](https://madewithwhat.net/ollama/project/surfsense/): NotebookLM for Competitive Intelligence Research. Give your AI agents Competitive Intelligence. Join our Discord: https://discord.gg/ejRNvftDp9 (15,228 stars)
- [LEANN](https://madewithwhat.net/ollama/project/leann/): [MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. (12,678 stars, MIT)
- [langchain4j](https://madewithwhat.net/ollama/project/langchain4j/): LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot. (12,591 stars, Apache-2.0)
- [Open-LLM-VTuber](https://madewithwhat.net/ollama/project/open-llm-vtuber/): Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D taking face running locally across platforms (12,570 stars)
- [BrowserOS](https://madewithwhat.net/ollama/project/browseros/): The open-source Agentic browser; alternative to ChatGPT Atlas, Perplexity Comet, Dia. (11,913 stars, AGPL-3.0)
- [ollama-python](https://madewithwhat.net/ollama/project/ollama-python/): Ollama Python library (10,288 stars, MIT)
- [aichat](https://madewithwhat.net/ollama/project/aichat/): All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more. (10,242 stars, Apache-2.0)
- [morphic](https://madewithwhat.net/ollama/project/morphic/): An AI-powered search engine with a generative UI (8,972 stars, Apache-2.0)
- [local-deep-research](https://madewithwhat.net/ollama/project/local-deep-research/): ~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google,...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted. (8,712 stars, MIT)
- [page-assist](https://madewithwhat.net/ollama/project/page-assist/): Use your locally running AI models to assist you in your web browsing (8,065 stars, MIT)
- [open-codesign](https://madewithwhat.net/ollama/project/open-codesign/): Open-source Claude Design alternative. One-click import your Claude Code / Codex API key. Prompt → prototype / slides / PDF. Multi-model (Claude, GPT, Gemini, Kimi, GLM, Ollama). BYOK, local-first, MIT. (7,277 stars, MIT)
- [go-stock](https://madewithwhat.net/ollama/project/go-stock/): AI：AI/。，AI，AI/，。A，，。/，AI。。DeepSeek，OpenAI， Ollama，LMStudio，AnythingLLM，，，。 (6,875 stars, GPL-3.0)
- [codecompanion.nvim](https://madewithwhat.net/ollama/project/codecompanion-nvim/): AI Coding, Vim Style (6,741 stars, Apache-2.0)
- [Dayflow](https://madewithwhat.net/ollama/project/dayflow/): The automatic work journal/time tracker. Privately turns your screen into a timeline of what you actually accomplished. Open-source and local-first. (6,685 stars, MIT)
- [open-multi-agent](https://madewithwhat.net/ollama/project/open-multi-agent/): TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepSeek, or local models). (6,575 stars, MIT)
- [TaxHacker](https://madewithwhat.net/ollama/project/taxhacker/): Self-hosted AI accounting app. LLM analyzer for receipts, invoices, transactions with custom prompts and categories (6,534 stars, MIT)
- [enchanted](https://madewithwhat.net/ollama/project/enchanted/): Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama. (5,974 stars, Apache-2.0)
- [paperless-ai](https://madewithwhat.net/ollama/project/paperless-ai/): An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents. (5,818 stars, MIT)
- [pyspur](https://madewithwhat.net/ollama/project/pyspur/): A visual playground for agentic workflows: Iterate over your agents 10x faster (5,756 stars, Apache-2.0)
- [agentops](https://madewithwhat.net/ollama/project/agentops/): Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI (5,707 stars, MIT)
- [Kiln](https://madewithwhat.net/ollama/project/kiln/): Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more. (4,964 stars)
- [deep-research](https://madewithwhat.net/ollama/project/deep-research/): Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server. (4,632 stars, MIT)
- [koog](https://madewithwhat.net/ollama/project/koog/): Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems (4,444 stars, Apache-2.0)
- [OpenMemory](https://madewithwhat.net/ollama/project/openmemory/): Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc. (4,333 stars, Apache-2.0)
- [ollama-js](https://madewithwhat.net/ollama/project/ollama-js/): Ollama JavaScript library (4,310 stars, MIT)
- [SmartSub](https://madewithwhat.net/ollama/project/smartsub/): ， 6 ASR GPU 17+ ，、、、， Windows/macOS/Linux (4,251 stars, MIT)
- [ruby_llm](https://madewithwhat.net/ollama/project/ruby-llm/): One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code. (4,241 stars, MIT)
- [mcp-context-forge](https://madewithwhat.net/ollama/project/mcp-context-forge/): An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins. (4,086 stars, Apache-2.0)
- [autoMate](https://madewithwhat.net/ollama/project/automate/): Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves (3,931 stars, MIT)
- [LLPlayer](https://madewithwhat.net/ollama/project/llplayer/): The media player for language learning, with dual subtitles, AI-generated subtitles, real-time translation, and more! (3,930 stars, GPL-3.0)
- [ClaraVerse](https://madewithwhat.net/ollama/project/claraverse/): Claraverse is a opesource privacy focused ecosystem to replace ChatGPT, Claude, N8N, ImageGen with your own hosted llm, keys and compute. With desktop, IOS, Android Apps. (3,838 stars)
- [all-agentic-architectures](https://madewithwhat.net/ollama/project/all-agentic-architectures/): 35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent,...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard. (3,806 stars, MIT)
- [claude-octopus](https://madewithwhat.net/ollama/project/claude-octopus/): Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task. (3,806 stars, MIT)
- [aiac](https://madewithwhat.net/ollama/project/aiac/): Artificial Intelligence Infrastructure-as-Code Generator. (3,788 stars, Apache-2.0)
- [deep-chat](https://madewithwhat.net/ollama/project/deep-chat/): Fully customizable AI chatbot component for your website (3,669 stars, MIT)
- [agentic-rag-for-dummies](https://madewithwhat.net/ollama/project/agentic-rag-for-dummies/): A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes. (3,652 stars, MIT)
- [council-of-high-intelligence](https://madewithwhat.net/ollama/project/council-of-high-intelligence/): 18 AI personas deliberate your hardest decisions across multiple LLM providers. Structured multi-round deliberation, confidence-weighted verdicts, genuine model diversity. Install as a Claude Code plugin — one command: /council (3,543 stars, MIT)
- [farfalle](https://madewithwhat.net/ollama/project/farfalle/): AI search engine - self-host with local or cloud LLMs (3,533 stars, Apache-2.0)
- [surf](https://madewithwhat.net/ollama/project/surf/): Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local). (3,476 stars, Apache-2.0)
- [Devon](https://madewithwhat.net/ollama/project/devon/): Devon: An open-source pair programmer (3,449 stars, AGPL-3.0)
- [cascadeflow](https://madewithwhat.net/ollama/project/cascadeflow/): Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop. (3,295 stars, MIT)
- [Rapid-MLX](https://madewithwhat.net/ollama/project/rapid-mlx/): The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider. (3,262 stars, Apache-2.0)
- [rag-web-ui](https://madewithwhat.net/ollama/project/rag-web-ui/): RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology. (3,063 stars, Apache-2.0)
- [pipeshub-ai](https://madewithwhat.net/ollama/project/pipeshub-ai/): PipesHub is an open-source fully extensible AI context layer that unifies your business data for explainable enterprise search and agentic workflow automation. (3,025 stars, Apache-2.0)
- [VirtualWife](https://madewithwhat.net/ollama/project/virtualwife/): VirtualWife，B，openai、ollama (2,870 stars, MIT)
- [VideoPipe](https://madewithwhat.net/ollama/project/videopipe/): A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) （），: ) (2,870 stars, Apache-2.0)
- [ax](https://madewithwhat.net/ollama/project/ax/): The pretty much "official" DSPy framework for Typescript (2,817 stars, Apache-2.0)
- [gonzo](https://madewithwhat.net/ollama/project/gonzo/): Gonzo! The Go based TUI log analysis tool (2,726 stars, MIT)
- [ai-agents-from-zero](https://madewithwhat.net/ollama/project/ai-agents-from-zero/): 2026 AI Agent ｜ · + + · · LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / · · 0 + + (2,724 stars, MIT)
- [aide](https://madewithwhat.net/ollama/project/aide/): Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files! VSCode ：、、UI 、AI ！ (2,695 stars, MIT)
- [maid](https://madewithwhat.net/ollama/project/maid/): Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely. (2,589 stars, MIT)
- [AingDesk](https://madewithwhat.net/ollama/project/aingdesk/): AingDeskAI，、API、、、，。 AingDesk is a simple and easy-to-use AI assistant that supports knowledge bases, model APIs, sharing, internet search, and intelligent agents. It is still growing rapidly. (2,523 stars, MIT)
- [paperless-gpt](https://madewithwhat.net/ollama/project/paperless-gpt/): Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI (2,517 stars, MIT)
- [elia](https://madewithwhat.net/ollama/project/elia/): A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more. (2,476 stars, Apache-2.0)
- [handy-ollama](https://madewithwhat.net/ollama/project/handy-ollama/): Ollama，CPU，：https://datawhalechina.github.io/handy-ollama/ (2,471 stars)
- [codel](https://madewithwhat.net/ollama/project/codel/): Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor. (2,459 stars, AGPL-3.0)
- [MiroFish-Offline](https://madewithwhat.net/ollama/project/mirofish-offline/): Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack. (2,439 stars, AGPL-3.0)
- [oterm](https://madewithwhat.net/ollama/project/oterm/): the terminal client for LLMs (2,407 stars, MIT)
- [prism](https://madewithwhat.net/ollama/project/prism/): A unified interface for working with LLMs in Laravel (2,403 stars, MIT)
- [comfyui_LLM_party](https://madewithwhat.net/ollama/project/comfyui-llm-party/): LLM Agent Framework in ComfyUI includes MCP sever, Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai / aisuite interfaces, such as o1,ollama, gemini, grok, qwen, GLM, deepseek, kimi,doubao. Adapted to local llms, vlm, gguf such as llama-3.3 Janus-Pro, Linkage graphRAG (2,303 stars, AGPL-3.0)
- [nanocoder](https://madewithwhat.net/ollama/project/nanocoder/): An open coding agent for your terminal, built by a community collective rather than a company. Bring your own model, keep your code on your machine, and owe nothing to anyone. (2,205 stars)
- [AudioNotes](https://madewithwhat.net/ollama/project/audionotes/): ，markdown (2,184 stars, MIT)
- [forge](https://madewithwhat.net/ollama/project/forge/): A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows (2,170 stars, MIT)
- [TranslateBooksWithLLMs](https://madewithwhat.net/ollama/project/translatebookswithllms/): Translate full-length books and documents with Ollama, OpenAI (comptatible), Gemini, Mistral, Poe or OpenRouter. Preserves formatting. Resumes where you left off. No file size limits. (2,154 stars, AGPL-3.0)
- [Neurite](https://madewithwhat.net/ollama/project/neurite/): Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code. (2,106 stars, MIT)
- [ai-renamer](https://madewithwhat.net/ollama/project/ai-renamer/): A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents (2,100 stars, GPL-3.0)
- [witsy](https://madewithwhat.net/ollama/project/witsy/): Witsy: desktop AI assistant / universal MCP client (1,998 stars, AGPL-3.0)
- [openai-edge-tts](https://madewithwhat.net/ollama/project/openai-edge-tts/): Free, high-quality text-to-speech API endpoint to replace OpenAI, Azure, or ElevenLabs (1,987 stars, GPL-3.0)
- [Ollamac](https://madewithwhat.net/ollama/project/ollamac/): Mac app for Ollama (1,908 stars)
- [core](https://madewithwhat.net/ollama/project/core/): Your Personal AI OS (1,900 stars)
- [py-gpt](https://madewithwhat.net/ollama/project/py-gpt/): Desktop AI Assistant powered by GPT-5, GPT-4, o1, o3, Gemini, Claude, Ollama, DeepSeek, Perplexity, Grok, Bielik, chat, vision, voice, RAG, image and video generation, agents, tools, MCP, plugins, speech synthesis and recognition, web search, memory, presets, assistants,and more. Linux, Windows, Mac (1,851 stars)
- [gollama](https://madewithwhat.net/ollama/project/gollama/): Go manage your Ollama models (1,818 stars, MIT)
- [Dive](https://madewithwhat.net/ollama/project/dive/): Dive is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities. (1,799 stars, MIT)
- [ollama-app](https://madewithwhat.net/ollama/project/ollama-app/): A modern and easy-to-use client for Ollama (1,787 stars, Apache-2.0)
- [conduit](https://madewithwhat.net/ollama/project/conduit/): Mobile (iOS/Android) client for OpenWebUI. Chat with your self‑hosted AI. (1,786 stars, GPL-3.0)
- [agency-orchestrator](https://madewithwhat.net/ollama/project/agency-orchestrator/): One sentence → multi-AI-role collaboration → complete plan in minutes. Built on the agency-agents role library (216+ experts), zero-code YAML, web Studio + desktop app, 10 LLM providers (7 free). agency-agents ， AI ，。 (1,769 stars, Apache-2.0)
- [DATAGEN](https://madewithwhat.net/ollama/project/datagen/): DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. (1,769 stars, MIT)
- [little-coder](https://madewithwhat.net/ollama/project/little-coder/): A harness optimized to smaller LLMs (1,749 stars, Apache-2.0)
- [Alpaca](https://madewithwhat.net/ollama/project/alpaca/): Local and online AI hub (1,600 stars, GPL-3.0)
- [Lumos](https://madewithwhat.net/ollama/project/lumos/): A RAG LLM co-pilot for browsing the web, powered by local LLMs (1,515 stars, MIT)
- [ChatMock](https://madewithwhat.net/ollama/project/chatmock/): OpenAI & Ollama compatible API powered by Codex (1,510 stars, MIT)
- [npcpy](https://madewithwhat.net/ollama/project/npcpy/): The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more. (1,428 stars, MIT)
- [nextjs-ollama-llm-ui](https://madewithwhat.net/ollama/project/nextjs-ollama-llm-ui/): Fully-featured web interface for Ollama LLMs (1,420 stars, MIT)
- [amical](https://madewithwhat.net/ollama/project/amical/): AI Dictation App - Open Source and Local-first Type 3x faster, no keyboard needed. 🆓 Powered by open source models, works offline, fast and accurate. (1,410 stars, MIT)
- [OllamaSharp](https://madewithwhat.net/ollama/project/ollamasharp/): The easiest way to use Ollama in.NET (1,391 stars, MIT)
- [generative_ai_with_langchain](https://madewithwhat.net/ollama/project/generative-ai-with-langchain/): Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain. (1,385 stars, MIT)
- [row-bot](https://madewithwhat.net/ollama/project/row-bot/): Row-Bot - Personal AI Sovereignty. A local-first AI assistant with integrated tools, a personal knowledge graph, voice, vision, shell, browser automation, scheduled tasks, health tracking, and messaging channels. Run locally via Ollama or add opt-in cloud models. Your data stays on your machine. (1,372 stars, Apache-2.0)
- [langchain-rust](https://madewithwhat.net/ollama/project/langchain-rust/): LangChain for Rust, the easiest way to write LLM-based programs in Rust (1,328 stars, MIT)
- [gp.nvim](https://madewithwhat.net/ollama/project/gp-nvim/): Gp.nvim (GPT prompt) Neovim AI plugin: ChatGPT sessions & Instructable text/code operations & Speech to text [OpenAI, Ollama, Anthropic,..] (1,319 stars, MIT)
- [ollama-gui](https://madewithwhat.net/ollama/project/ollama-gui/): A Web Interface for chatting with your local LLMs via the ollama API (1,250 stars, MIT)
- [AI-Resources-Central](https://madewithwhat.net/ollama/project/ai-resources-central/): Bringing together outstanding artificial intelligence (AI) open source projects from around the world. (1,233 stars, MIT)
- [promptmap](https://madewithwhat.net/ollama/project/promptmap/): a security scanner for custom LLM applications (1,224 stars, GPL-3.0)
- [kubeai](https://madewithwhat.net/ollama/project/kubeai/): AI Inference Operator for Kubernetes. The easiest way to serve ML models in production. Supports VLMs, LLMs, embeddings, and speech-to-text. (1,222 stars, Apache-2.0)
- [obsidian-Smart2Brain](https://madewithwhat.net/ollama/project/obsidian-smart2brain/): An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter! (1,199 stars, MIT)
- [skales](https://madewithwhat.net/ollama/project/skales/): Your personal AI desktop agent for Windows, macOS, Linux & Android. Set a goal, it works on its own. Teams (pair two desktops, agents + humans), Agent2Agent, Workflows, Codework, multi-agent orgs, desktop + browser automation. 15+ AI providers, BYOK. No Docker, no terminal. Agent Skills (SKILL.md). Migration importer. Recurring autonomous tasks. (1,176 stars)
- [gpt_mobile](https://madewithwhat.net/ollama/project/gpt-mobile/): Chat app for Android that supports answers from multiple LLMs at once. Bring your own API key AI client. Supports OpenAI, Anthropic, Google, and Ollama. Designed with Material3 & Compose. (1,166 stars, GPL-3.0)
- [hollama](https://madewithwhat.net/ollama/project/hollama/): A minimal LLM chat app that runs entirely in your browser (1,165 stars, MIT)
- [thClaws](https://madewithwhat.net/ollama/project/thclaws/): Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams. (1,154 stars, Apache-2.0)
- [better-chatbot](https://madewithwhat.net/ollama/project/better-chatbot/): Formerly Better Chatbot. Navigator is an open-source AI workspace for agents, MCP and workflow automation. (1,148 stars, MIT)
- [PhoneClaw](https://madewithwhat.net/ollama/project/phoneclaw/): PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference. (1,144 stars)
- [tools](https://madewithwhat.net/ollama/project/tools/): A set of tools that gives agents powerful capabilities. (1,125 stars, Apache-2.0)
- [thread-notebook](https://madewithwhat.net/ollama/project/thread-notebook/): AI-powered Jupyter Notebook. Use AI to generate and edit code cells, automatically fix errors, and chat with your data (1,105 stars, AGPL-3.0)
- [kvcached](https://madewithwhat.net/ollama/project/kvcached/): Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond (1,097 stars, Apache-2.0)
- [NativeMindExtension](https://madewithwhat.net/ollama/project/nativemindextension/): NativeMind: Your fully private, open-source, on-device AI assistant (1,091 stars, AGPL-3.0)
- [chatd](https://madewithwhat.net/ollama/project/chatd/): Chat with your documents using local AI (1,082 stars, MIT)
- [Hexabot](https://madewithwhat.net/ollama/project/hexabot/): Hexabot v3 is an AI workflow automation platform, combining workflows, actions, agents, and conversational channels in one runtime. (1,079 stars)
- [zero](https://madewithwhat.net/ollama/project/zero/): The coding agent that answers to you, your model, your machine, your rules. (1,076 stars, MIT)
- [minima](https://madewithwhat.net/ollama/project/minima/): On-premises conversational RAG with configurable containers (1,052 stars, MPL-2.0)
- [agents-flex](https://madewithwhat.net/ollama/project/agents-flex/): Agents-flex is A lightweight Java AI agent development framework (positioned as a counterpart to Spring AI). It supports features such as RAG, MCP, Skills, Text2SQL, LLM Wiki, Sub-agents, Web Search, TTS (synchronous and streaming), and STT. (1,028 stars, Apache-2.0)
- [GoModel](https://madewithwhat.net/ollama/project/gomodel/): AI gateway written in Go. Lightweight unified OpenAI-compatible API for OpenAI, Anthropic, Gemini, Groq, xAI & Ollama. LiteLLM alternative with observability, guardrails, streaming, costs and usage tracking. (995 stars, MIT)
- [Talos](https://madewithwhat.net/ollama/project/talos/): GPU worker client for the Talos network. Pairs with your Talos account, serves open-model inference jobs over a WebSocket, and reports uptime for payouts. (994 stars, MIT)
- [privy](https://madewithwhat.net/ollama/project/privy/): An open-source alternative to GitHub copilot that runs locally. (989 stars, MIT)
- [ollama-grid-search](https://madewithwhat.net/ollama/project/ollama-grid-search/): A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React. (948 stars, MIT)
- [transcriptionstream](https://madewithwhat.net/ollama/project/transcriptionstream/): turnkey self-hosted offline transcription and diarization service with llm summary (944 stars, GPL-3.0)
- [AI-Bootcamp](https://madewithwhat.net/ollama/project/ai-bootcamp/): Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini) (920 stars, MIT)
- [k-dense-byok](https://madewithwhat.net/ollama/project/k-dense-byok/): An AI co-scientist powered by Scientific Agent Skills running on your desktop. (913 stars, MIT)
- [locally-uncensored](https://madewithwhat.net/ollama/project/locally-uncensored/): Uncensored local AI desktop app: chat, agent mode, image & video generation. Run abliterated/uncensored LLMs + ComfyUI fully offline with your own provider. Single.exe, no Docker. (900 stars)
- [selfhost-ai](https://madewithwhat.net/ollama/project/selfhost-ai/): Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative. (898 stars, Apache-2.0)
- [macai](https://madewithwhat.net/ollama/project/macai/): All-in-one native macOS AI chat application for virtually any AI provider (897 stars, Apache-2.0)
- [LaunchStack](https://madewithwhat.net/ollama/project/launchstack/): AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction. (884 stars, Apache-2.0)
- [deep-learning-wizard](https://madewithwhat.net/ollama/project/deep-learning-wizard/): Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more. (875 stars, MIT)
- [pocketpaw](https://madewithwhat.net/ollama/project/pocketpaw/): Your AI agent in 30 seconds. Not 30 hours. Self-hosted, open-source personal AI with desktop installer, multi-agent Command Center(Deep Work), and 7-layer security. Anthropic, OpenAI, or Ollama. (866 stars, MIT)
- [rag_api](https://madewithwhat.net/ollama/project/rag-api/): ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector (864 stars, MIT)
- [k8m](https://madewithwhat.net/ollama/project/k8m/): 、 Mini Kubernetes AI Dashboard，++MCP，、、，，。 (857 stars, MIT)
- [FineTuningLLMs](https://madewithwhat.net/ollama/project/finetuningllms/): Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face" (850 stars, MIT)
- [ai-commits-intellij-plugin](https://madewithwhat.net/ollama/project/ai-commits-intellij-plugin/): AI Commits for IntelliJ based IDEs/Android Studio. (839 stars, MIT)
- [llmcord](https://madewithwhat.net/ollama/project/llmcord/): Make Discord your LLM frontend - Supports any OpenAI compatible API (OpenRouter, Ollama and more) (814 stars, MIT)
- [llm-server-docs](https://madewithwhat.net/ollama/project/llm-server-docs/): End-to-end documentation to set up your own local & fully private LLM server on Debian. Equipped with chat, web search, RAG, model management, MCP servers, image generation, and TTS. (811 stars, MIT)
- [samples](https://madewithwhat.net/ollama/project/samples/): Agent samples built using the Strands Agents SDK. (808 stars, Apache-2.0)
- [argo](https://madewithwhat.net/ollama/project/argo/): ARGO is an open-source AI Agent platform that brings Local Manus to your desktop. With one-click model downloads, seamless closed LLM integration, and offline-first RAG knowledge bases, ARGO becomes a DeepResearch powerhouse for autonomous thinking, task planning, and 100% of your data stays locally. Support Win/Mac/Docker. (794 stars)
- [parrot.nvim](https://madewithwhat.net/ollama/project/parrot-nvim/): parrot.nvim - the plugin that brings stochastic parrots to Neovim. (791 stars)
- [BambooAI](https://madewithwhat.net/ollama/project/bambooai/): A Python library powered by Language Models (LLMs) for conversational data discovery and analysis. (782 stars, MIT)
- [obsidian-llm-wiki-local](https://madewithwhat.net/ollama/project/obsidian-llm-wiki-local/): Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing. Your notes stay yours. (771 stars, MIT)
- [open-webui-tools](https://madewithwhat.net/ollama/project/open-webui-tools/): Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into a powerful AI workstation. With a suite of over 15 specialized tools, function pipelines, and filters, this project supports academic research, agentic autonomy, multimodal creativity, workflows, and more (762 stars, MIT)
- [llm-apps-java-spring-ai](https://madewithwhat.net/ollama/project/llm-apps-java-spring-ai/): Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot. (760 stars, Apache-2.0)
- [yoda](https://madewithwhat.net/ollama/project/yoda/): Wise and powerful personal assistant, available in your nearest terminal (751 stars)
- [local-rag](https://madewithwhat.net/ollama/project/local-rag/): Ingest files for retrieval augmented generation (RAG) with open-source Large Language Models (LLMs), all without 3rd parties or sensitive data leaving your network. (751 stars, GPL-3.0)
- [chaplin](https://madewithwhat.net/ollama/project/chaplin/): A real-time silent speech recognition tool. (744 stars, MIT)
- [jobsync](https://madewithwhat.net/ollama/project/jobsync/): Self-hosted, open-source job application tracker and AI-powered career assistant. Built with Next.js, helps job seekers manage their search journey with AI resume review, job matching, task logging, and application analytics—all while keeping your data private. (732 stars, MIT)
- [SiliconScope](https://madewithwhat.net/ollama/project/siliconscope/): Sudoless Apple Silicon system monitor (native SwiftUI GUI) with ANE / Media Engine / memory-bandwidth tracking (709 stars, MIT)
- [hashbrown](https://madewithwhat.net/ollama/project/hashbrown/): Hashbrown is a framework for building agents that run the browser. Built for Angular and React. (707 stars)
- [openyak](https://madewithwhat.net/ollama/project/openyak/): Open-source local-first AI agent for desktop work. No account, no telemetry: use local models with Ollama/Rapid-MLX or bring your own provider key. (703 stars, Apache-2.0)
- [clickclickclick](https://madewithwhat.net/ollama/project/clickclickclick/): Autonomous Android and computer use using any LLM (local or remote) (695 stars, MIT)
- [timber](https://madewithwhat.net/ollama/project/timber/): Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. (687 stars)
- [tenere](https://madewithwhat.net/ollama/project/tenere/): TUI for LLMs (675 stars, GPL-3.0)
- [rag-chatbot](https://madewithwhat.net/ollama/project/rag-chatbot/): Chat with multiple PDFs locally (672 stars, Apache-2.0)
- [RAGLight](https://madewithwhat.net/ollama/project/raglight/): RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources. (670 stars, MIT)
- [DevoxxGenieIDEAPlugin](https://madewithwhat.net/ollama/project/devoxxgenieideaplugin/): DevoxxGenie is an agentic plugin for IntelliJ IDEA that uses local LLM's (Ollama, LMStudio, GPT4All, Jan and Llama.cpp) and Cloud based LLMs to help review, test, explain your project code. Latest version now also supports Spec Driven Development with CLI Runners. (664 stars, MIT)
- [Owl](https://madewithwhat.net/ollama/project/owl/): A personal wearable AI that runs locally (651 stars, MIT)
- [lollms_hub](https://madewithwhat.net/ollama/project/lollms-hub/): A proxy server for multiple ollama instances with Key security (640 stars, Apache-2.0)
- [xsai](https://madewithwhat.net/ollama/project/xsai/): extra-small AI SDK. (635 stars, MIT)
- [tome](https://madewithwhat.net/ollama/project/tome/): a magical LLM desktop client that makes it easy for *anyone* to use LLMs and MCP (625 stars, Apache-2.0)
- [qqqa](https://madewithwhat.net/ollama/project/qqqa/): Fast, stateless LLM for your shell: qq answers; qa runs commands (624 stars, MIT)
- [ollama-ebook-summary](https://madewithwhat.net/ollama/project/ollama-ebook-summary/): LLM for Long Text Summary (Comprehensive Bulleted Notes) (624 stars)
- [chatterbox-tts-api](https://madewithwhat.net/ollama/project/chatterbox-tts-api/): Local, OpenAI-compatible text-to-speech (TTS) API using Chatterbox, enabling users to generate voice cloned speech anywhere the OpenAI API is used (e.g. Open WebUI, AnythingLLM, etc.) (624 stars, AGPL-3.0)
- [swarmclaw](https://madewithwhat.net/ollama/project/swarmclaw/): Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative. (611 stars, MIT)
- [NadirClaw](https://madewithwhat.net/ollama/project/nadirclaw/): Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premium — automatically. Drop-in OpenAI-compatible proxy for Claude Code, Codex, Cursor, OpenClaw. Saves 40-70% on AI API costs. Self-hosted, no middleman. (609 stars)
- [embedJs](https://madewithwhat.net/ollama/project/embedjs/): A NodeJS RAG framework to easily work with LLMs and embeddings (604 stars, Apache-2.0)
- [GraphRAG4OpenWebUI](https://madewithwhat.net/ollama/project/graphrag4openwebui/): GraphRAG4OpenWebUI integrates Microsoft's GraphRAG technology into Open WebUI, providing a versatile information retrieval API. It combines local, global, and web searches for advanced Q&A systems and search engines. This tool simplifies graph-based retrieval integration in open web environments. (603 stars, Apache-2.0)
- [openchatbi](https://madewithwhat.net/ollama/project/openchatbi/): OpenChatBI is an intelligent chat-based BI tool powered by large language models, designed to help users query, analyze, and visualize data through natural language conversations. It uses LangGraph and LangChain to build chat agent and workflows that support natural language to SQL conversion and data analysis. (598 stars, MIT)
- [AI-Bank-Statement-Document-Automation-By-LLM-And-Personal-Finanical-Analysis-Prediction](https://madewithwhat.net/ollama/project/ai-bank-statement-document-automation-by-llm-and-personal-finanical-analysis-prediction/): AI Bank Statement Document Automation By LLM model and Personal Finanical Analysis (597 stars, Apache-2.0)
- [ollama-helm](https://madewithwhat.net/ollama/project/ollama-helm/): Helm chart for Ollama on Kubernetes (584 stars, MIT)
- [chat](https://madewithwhat.net/ollama/project/chat/): chat web app for teams, sass with user management and ratelimit, support chatgpt(openai & azure), claude, gemini and ollama model (573 stars, MIT)
- [code-llama-for-vscode](https://madewithwhat.net/ollama/project/code-llama-for-vscode/): Use Code Llama with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot. (571 stars, MIT)
- [chatgpt-vue3-light-mvp](https://madewithwhat.net/ollama/project/chatgpt-vue3-light-mvp/): Chat Bot Web MVP, Vue 3, Vite8, TypeScript, Naive UI, Pinia(v3), UnoCSS, API, AI,,, SSE, markdown-it Mermaid/KaTex/LaTex,,,, Deepseek V3/R1, <think>, skill Chat (566 stars, MIT)
- [vulnrepo](https://madewithwhat.net/ollama/project/vulnrepo/): VULNRΞPO - Free vulnerability report generator and repository, end-to-end encrypted! Templates of issues, CWE,CVE,MITRE ATT&CK,PCI DSS, import Nmap/Nessus/Burp/OpenVAS/Bugcrowd/Trivy, Jira export, TXT/JSON/MARKDOWN/HTML/DOCX, attachments, automatic changelog, stats, vulnerability management, bugbounty, local ai/llm, super fast pentest reporting! (564 stars, Apache-2.0)
- [WitNote](https://madewithwhat.net/ollama/project/witnote/): WitNote is a local-first AI writing companion for macOS and Windows. (552 stars)
- [spring-boot-init-template](https://madewithwhat.net/ollama/project/spring-boot-init-template/): Java Web SpringBoot ，Spring AI，（Mybatis-Plus、ShardingSphere、Redis、RabbitMQ、Elasticsearch、SaToken、OSS、CaffeineMongoDB），JDK11JDK17，JDK8，，，，。 (542 stars, Apache-2.0)
- [PureChat](https://madewithwhat.net/ollama/project/purechat/): PureChat ， AI 。、 AI ， AI 。OpenAI，Ollama，DeepSeek，Markdown ，，，。 (539 stars, MIT)
- [Agent](https://madewithwhat.net/ollama/project/agent/): Mac Agent for macOS 26: the agentic AI harness for your Mac Desktop. Computer use, automation, scripting, coding, and more. Powered by 18+ providers across local and cloud LLMs. (538 stars, MIT)
- [obsidian-bmo-chatbot](https://madewithwhat.net/ollama/project/obsidian-bmo-chatbot/): Generate and brainstorm ideas while creating your notes using Large Language Models (LLMs) from Ollama, LM Studio, Anthropic, Google Gemini, Mistral AI, OpenAI, and more for Obsidian. (532 stars, MIT)
- [ollama_pdf_rag](https://madewithwhat.net/ollama/project/ollama-pdf-rag/): A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs. (529 stars, MIT)
- [Lynkr](https://madewithwhat.net/ollama/project/lynkr/): Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI. (527 stars, Apache-2.0)
- [aicommit2](https://madewithwhat.net/ollama/project/aicommit2/): A Reactive CLI that generates commit messages for Git and Jujutsu with Ollama, ChatGPT, Gemini, Claude, Mistral and other AI (520 stars, MIT)
- [ai-review](https://madewithwhat.net/ollama/project/ai-review/): AI-powered code review tool for GitHub, GitLab, Bitbucket Cloud, Bitbucket Server, Azure DevOps and Gitea — built with LLMs like OpenAI, Claude, Gemini, Ollama, Bedrock, OpenRouter and Azure OpenAI (518 stars, Apache-2.0)
- [ollama-voice-mac](https://madewithwhat.net/ollama/project/ollama-voice-mac/): Mac compatible Ollama Voice (518 stars, AGPL-3.0)
- [ReMind](https://madewithwhat.net/ollama/project/remind/): Your Local Artificial Memory on your Device. (512 stars, Apache-2.0)
- [restai](https://madewithwhat.net/ollama/project/restai/): RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more... (512 stars, Apache-2.0)
- [plock](https://madewithwhat.net/ollama/project/plock/): From anywhere you can type, query and stream the output of any script (e.g. an LLM) (505 stars, MIT)
- [ollama4j](https://madewithwhat.net/ollama/project/ollama4j/): A simple Java library for interacting with Ollama server. (504 stars, MIT)
- [lynavo-drive](https://madewithwhat.net/ollama/project/lynavo-drive/): RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval. (500 stars, AGPL-3.0)
- [browser-operator-core](https://madewithwhat.net/ollama/project/browser-operator-core/): Browser Operator - The AI browser with built in Multi-Agent platform! Open source alternative to ChatGPT Atlas, Perplexity Comet, Dia and Microsoft CoPilot Edge Browser (490 stars, BSD-3-Clause)
- [chipper](https://madewithwhat.net/ollama/project/chipper/): AI interface for tinkerers (Ollama, Haystack RAG, Python) (484 stars, MIT)
- [mirrormate](https://madewithwhat.net/ollama/project/mirrormate/): Self-hosted personalized AI in a mirror. (481 stars, MIT)
- [parllama](https://madewithwhat.net/ollama/project/parllama/): TUI for Ollama and other LLM providers (480 stars, MIT)
- [llm.nvim](https://madewithwhat.net/ollama/project/llm-nvim/): A large language model (LLM) plugin for Neovim, provides commands to interact with LLM (like ChatGPT, Copilot, ChatGLM, kimi, deepseek, openrouter and local llms). Support Github models. (477 stars, GPL-3.0)
- [kolosal-cli](https://madewithwhat.net/ollama/project/kolosal-cli/): Super lightweight Ollama + Qwen Code alternative to run Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models. (465 stars, Apache-2.0)
- [LiberSonora](https://madewithwhat.net/ollama/project/libersonora/): LiberSonora，“”， AI 、、，、AI、， GPU 、。LiberSonora, meaning "The Voice of Freedom," is an AI-powered robust open-source audiobook toolkit. (464 stars, MIT)
- [azure-ai-travel-agents](https://madewithwhat.net/ollama/project/azure-ai-travel-agents/): A robust enterprise application sample (deployed on ACA) that leverages MCP and multiple AI agents orchestrated by Langchain.js, Llamaindex.TS and Microsoft Agent Framework. (458 stars, MIT)
- [job-application-bot-by-ollama-ai](https://madewithwhat.net/ollama/project/job-application-bot-by-ollama-ai/): The world’s #1 end-to-end job agent: semantic filters, ATS-optimized resumes, referrals from hiring managers — 100% hands-free. (457 stars)
- [incognide](https://madewithwhat.net/ollama/project/incognide/): Explore the unknown, build the future, own your data. (454 stars, MIT)
- [ollama-swift](https://madewithwhat.net/ollama/project/ollama-swift/): A Swift client library for interacting with Ollama. Supports structured outputs, tool use, and vision models. (453 stars, MIT)
- [voice-chat-ai](https://madewithwhat.net/ollama/project/voice-chat-ai/): Speak with AI - Run locally using Ollama, OpenAI, Anthropic or xAI - Speech uses SparkTTS, OpenAI, ElevenLabs, Kokoro, Typecast or xAI (452 stars, MIT)
- [LlamaPen](https://madewithwhat.net/ollama/project/llamapen/): A no-install needed web-GUI for Ollama. (451 stars, AGPL-3.0)
- [Folio-OCR](https://madewithwhat.net/ollama/project/folio-ocr/): Open-source batch OCR workbench — a free, local alternative to ABBYY FineReader. Powered by Ollama + GLM-OCR + PP-DocLayoutV3, ~0.5s/page on RTX 4090. Three-panel editor, layout-aware, PDF/image batch processing, Markdown/Word export. OCR，，ABBYY，。 (450 stars, MIT)
- [open-skills](https://madewithwhat.net/ollama/project/open-skills/): OpenSkills: Run Claude Skills Locally using any LLM (444 stars, Apache-2.0)
- [runprompt](https://madewithwhat.net/ollama/project/runprompt/): Run LLM prompts from your shell (442 stars, MIT)
- [ClickUi](https://madewithwhat.net/ollama/project/clickui/): The best way to use AI is on your own computer. Use local or paid API models, and ctrl+k to show/hide the chat UI. Experience the future of AI, and help build it too! (427 stars, AGPL-3.0)
- [nodetool](https://madewithwhat.net/ollama/project/nodetool/): The open creative AI workspace (426 stars, AGPL-3.0)
- [QodeAssist](https://madewithwhat.net/ollama/project/qodeassist/): QodeAssist is an AI-powered coding assistant plugin for Qt Creator (425 stars)
- [abbey](https://madewithwhat.net/ollama/project/abbey/): Abbey is a self-hosted configurable AI interface with workspaces, document chats, YouTube chats, and more. Find our hosted version at https://abbey.us.ai. (421 stars)
- [ai4j](https://madewithwhat.net/ollama/project/ai4j/): JavaSDKAI，，OpenAi、Zhipu(ChatGLM)、DeepSeek、Moonshot(Kimi)、Hunyuan、(01)，，(Tool Call)，RAG、(Pinecone)、，JDK1.8，AI。 (419 stars, Apache-2.0)
- [Montscan](https://madewithwhat.net/ollama/project/montscan/): Automated scanner document processor with AI-powered naming and WebDav integration. Receives scans via FTP, extracts text using Vision AI, generates intelligent filenames with Ollama AI, and uploads to your cloud storage. (412 stars, MIT)
- [OllamaServer](https://madewithwhat.net/ollama/project/ollamaserver/): No need for Termux, you can start the Ollama service with one click on an Android device. Termux，Ollama。 (410 stars, GPL-3.0)
- [local-assistant-examples](https://madewithwhat.net/ollama/project/local-assistant-examples/): Build your own ChatPDF and run it locally (409 stars, MIT)
- [PlanExe](https://madewithwhat.net/ollama/project/planexe/): Create a plan from a description in minutes (388 stars, MIT)
- [OllamaTalk](https://madewithwhat.net/ollama/project/ollamatalk/): A fully local, cross-platform AI chat application powered by Ollama. Chat securely across macOS, Windows, Linux, Android, and iOS - no cloud required. (384 stars, MIT)
- [chatgpt-subtitle-translator](https://madewithwhat.net/ollama/project/chatgpt-subtitle-translator/): Efficient translation tool based on ChatGPT or any OpenAI compatible LLM chat completion API (382 stars, MIT)
- [Weave](https://madewithwhat.net/ollama/project/weave/): A highly efficient, secure, and stable application development platform with excellent performance, easy scalability, and deep integration of AI capabilities such as LLM, AI Chat, RAG, and Agents.、、，，，LLM、AIChat、RAG、AgentAI (382 stars)
- [ingest](https://madewithwhat.net/ollama/project/ingest/): Parse files (e.g. code repos) and websites to clipboard or a file for ingestions by AI / LLMs (378 stars, MIT)
- [ollama-intel-arc](https://madewithwhat.net/ollama/project/ollama-intel-arc/): Make use of Intel Arc Series GPU to Run Ollama, StableDiffusion, Whisper and Open WebUI, for image generation, speech recognition and interaction with Large Language Models (LLM). (378 stars, Apache-2.0)
- [ollama-benchmark](https://madewithwhat.net/ollama/project/ollama-benchmark/): LLM Benchmark for Throughput via Ollama (Local LLMs) (377 stars, MIT)
- [codai](https://madewithwhat.net/ollama/project/codai/): AI coding agent for your terminal. (375 stars, Apache-2.0)
- [opencodex](https://madewithwhat.net/ollama/project/opencodex/): Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama…) with Codex CLI, App, SDK, and Claude Code (371 stars, MIT)
- [freecad-ai](https://madewithwhat.net/ollama/project/freecad-ai/): AI-powered assistant workbench for FreeCAD — generate 3D models from natural language (368 stars, LGPL-2.1)
- [rowfill](https://madewithwhat.net/ollama/project/rowfill/): Open-source spreadsheets platform for deep research and document processing (367 stars)
- [openclaw-optimization-guide](https://madewithwhat.net/ollama/project/openclaw-optimization-guide/): Make your OpenClaw AI agent faster, smarter, and cheaper. Speed optimization, memory architecture, context management, model selection, and one-shot development guide. (366 stars, MIT)
- [GitHubSentinel](https://madewithwhat.net/ollama/project/githubsentinel/): GitHub Sentinel （LLMs） AI Agent。、，、。GitHub Sentinel GitHub ，， Hacker News ，。 (363 stars, Apache-2.0)
- [slide-deck-ai](https://madewithwhat.net/ollama/project/slide-deck-ai/): Co-create PowerPoint slide decks with AI (362 stars, MIT)
- [Ollama-SwiftUI](https://madewithwhat.net/ollama/project/ollama-swiftui/): User Interface made for Ollama.ai using Swift (362 stars, MIT)
- [minimal-llm-ui](https://madewithwhat.net/ollama/project/minimal-llm-ui/): Minimalistic UI for Ollama LMs - This powerful react interface for LLMs drastically improves the chatbot experience and works offline. (356 stars, MIT)
- [obsidian-companion](https://madewithwhat.net/ollama/project/obsidian-companion/): Autocomplete your obsidian notes with AI, including ChatGPT, through a copilot-like interface. (351 stars, MIT)
- [Knowledge-Base-Self-Hosting-Kit](https://madewithwhat.net/ollama/project/knowledge-base-self-hosting-kit/): A Docker-powered RAG system that understands the difference between code and prose. Ingest your codebase and documentation, then query them with full privacy and zero configuration. (350 stars)
- [ai-localbase](https://madewithwhat.net/ollama/project/ai-localbase/): AI（RAG），。md、txt、pdf（）、xlsx、cvs。mcp (347 stars, MIT)
- [ThinkRAG](https://madewithwhat.net/ollama/project/thinkrag/): A LLM RAG system runs on your laptop. ，，。 (347 stars, MIT)
- [ShellOracle](https://madewithwhat.net/ollama/project/shelloracle/): A terminal utility for intelligent shell command generation (342 stars, GPL-3.0)
- [deepseek-go](https://madewithwhat.net/ollama/project/deepseek-go/): Go SDK for DeepSeek V4 API — chat, reasoning, Anthropic-compatible endpoint, tool calling, FIM, and streaming. Also supports OpenRouter, Azure, Ollama, and OpenAI-compatible providers. (338 stars, MIT)
- [NexusRAG](https://madewithwhat.net/ollama/project/nexusrag/): Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models. (334 stars)
- [agentica](https://madewithwhat.net/ollama/project/agentica/): Agentica: Lightweight async-first Python framework for AI agents. AI Agent，、RAG、MCP。 (332 stars, Apache-2.0)
- [NeuralDeskApp](https://madewithwhat.net/ollama/project/neuraldeskapp/): Versatile Almost Local, Eventually Reasonable Assistant (331 stars)
- [OllamaKit](https://madewithwhat.net/ollama/project/ollamakit/): Ollama client for Swift (330 stars, MIT)
- [safe-code-execution](https://madewithwhat.net/ollama/project/safe-code-execution/): Code execution utilities for Open WebUI & Ollama (328 stars, Apache-2.0)
- [PicoMLXServer](https://madewithwhat.net/ollama/project/picomlxserver/): The easiest way to run the fastest MLX-based LLMs locally (327 stars, MIT)
- [notebook-intelligence](https://madewithwhat.net/ollama/project/notebook-intelligence/): A JupyterLab extension supporting Claude Code, Copilot, Ollama, and OpenAI-compatible LLMs, with MCP, skills, plugins, and notebook agents. (321 stars, GPL-3.0)
- [Heat](https://madewithwhat.net/ollama/project/heat/): An LLM agnostic desktop and mobile client. (320 stars, MIT)
- [ThunderAI](https://madewithwhat.net/ollama/project/thunderai/): ThunderAI is a Thunderbird Addon that uses the capabilities of ChatGPT, Gemini, Claude or Ollama to enhance email management. (320 stars, GPL-3.0)
- [ollama-logseq](https://madewithwhat.net/ollama/project/ollama-logseq/): Logseq plugin to integerate with ollama (318 stars, MIT)
- [dario](https://madewithwhat.net/ollama/project/dario/): Your Claude Pro/Max subscription in any tool — Cursor, Cline, Aider, Agent SDK — at subscription pricing, not per-token bills. One local endpoint that replays Claude Code's wire shape so your traffic stays in the subscription pool. (315 stars, MIT)
- [obsidian-tars](https://madewithwhat.net/ollama/project/obsidian-tars/): Obsidian tars plugin that supports text generation based on tag suggestions, using services like DeepSeek, Claude, OpenAI, OpenRouter, SiliconFlow, Gemini, Ollama, Kimi, Doubao, Qwen, Zhipu, QianFan & more. (311 stars, MIT)
- [Tutorial-of-AI-Kit-with-Raspberry-Pi-From-Zero-to-Hero](https://madewithwhat.net/ollama/project/tutorial-of-ai-kit-with-raspberry-pi-from-zero-to-hero/): This repository provides a comprehensive step-by-step guide to building AI projects using the Raspberry Pi AI Kit. (308 stars, MIT)
- [DelphiOpenAI](https://madewithwhat.net/ollama/project/delphiopenai/): OpenAI (and DeepSeek, Azure OpenAI, YandexGPT, Ollama, GigaChat, Qwen) API wrapper for Delphi. Use ChatGPT, DALL-E, Whisper and other products. (307 stars, MIT)
- [llmaz](https://madewithwhat.net/ollama/project/llmaz/): Easy, advanced inference platform for large language models on Kubernetes. Star to support our work! (307 stars, Apache-2.0)
- [DistiLlama](https://madewithwhat.net/ollama/project/distillama/): Chrome Extension to Summarize or Chat with Web Pages/Local Documents Using locally running LLMs. Keep all of your data and conversations private. (305 stars, MIT)
- [ollama-ocr](https://madewithwhat.net/ollama/project/ollama-ocr/): Implementing OCR with a local visual model run by ollama. (303 stars, MIT)
- [backdoor](https://madewithwhat.net/ollama/project/backdoor/): Run Claude Code against any AI provider. DeepSeek, Groq, Ollama, OpenRouter — your call. (300 stars, MIT)
- [discord-ai-bot](https://madewithwhat.net/ollama/project/discord-ai-bot/): Discord AI chatbot using Ollama and Stable Diffusion (295 stars)
- [llm-x](https://madewithwhat.net/ollama/project/llm-x/): LLMX; Easiest 3rd party Local LLM UI for the web! (295 stars, MIT)
- [flama](https://madewithwhat.net/ollama/project/flama/): The production framework for Predictive and Generative AI. Serve any model as an API in one line, with OpenAI/Anthropic/Ollama-compatible endpoints, a built-in chat UI, and native MCP. (292 stars, Apache-2.0)
- [godot-ai-assistant-hub](https://madewithwhat.net/ollama/project/godot-ai-assistant-hub/): Embed AI assistants in Godot with the ability to read and write code in Godot's Code Editor. (291 stars, MIT)
- [mcp-server](https://madewithwhat.net/ollama/project/mcp-server/): This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents. (290 stars)
- [local-LLM-with-RAG](https://madewithwhat.net/ollama/project/local-llm-with-rag/): Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG) (286 stars, MIT)
- [xybrid](https://madewithwhat.net/ollama/project/xybrid/): Build apps powered by on-device AI (283 stars, Apache-2.0)
- [cognito-ai-search](https://madewithwhat.net/ollama/project/cognito-ai-search/): Powerful search page powered by LLMs and SearXNG (283 stars, MIT)
- [chatless](https://madewithwhat.net/ollama/project/chatless/): AI，Tauri2.0Next.js A simple, practical, and lightweight local AI chat client, written in Tauri 2.0 & Next.js. (280 stars, MIT)
- [bosun](https://madewithwhat.net/ollama/project/bosun/): Autonomous Engineering (280 stars, Apache-2.0)
- [ollamafreeapi](https://madewithwhat.net/ollama/project/ollamafreeapi/): OllamaFreeAPI: Free Distributed API for Ollama LLMs Public gateway to our managed Ollama servers with: - Zero-configuration access to 50+ models - Auto load-balanced across global nodes - Free tier with no API keys required - Built on ollama-python (277 stars)
- [llm-axe](https://madewithwhat.net/ollama/project/llm-axe/): A simple, intuitive toolkit for quickly implementing LLM powered applications. (275 stars, MIT)
- [raycast-ai-openrouter-proxy](https://madewithwhat.net/ollama/project/raycast-ai-openrouter-proxy/): Integrate any OpenAI-compatible API with Raycast AI (272 stars)
- [nvim-llama](https://madewithwhat.net/ollama/project/nvim-llama/): Ollama interfaces for Neovim (272 stars, MIT)
- [ollama-gui](https://madewithwhat.net/ollama/project/ollama-gui/): A single-file tkinter-based Ollama GUI project with no external dependencies. (268 stars, MIT)
- [llm-benchmark](https://madewithwhat.net/ollama/project/llm-benchmark/): LLM ，。 (267 stars, MIT)
- [Hermes-Studio](https://madewithwhat.net/ollama/project/hermes-studio/): Web UI & dashboard for Hermes Agent — chat, memory, skills, terminal, approvals, multi-agent orchestration. Self-hosted. (265 stars)
- [NanoSage](https://madewithwhat.net/ollama/project/nanosage/): Local LLM Powered Recursive Search & Smart Knowledge Explorer (265 stars, Apache-2.0)
- [Kwipu](https://madewithwhat.net/ollama/project/kwipu/): Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama. (263 stars, MIT)
- [tau](https://madewithwhat.net/ollama/project/tau/): your orchestrator for all dev agents, sessions, and environments. (263 stars)
- [LangGraph-GUI](https://madewithwhat.net/ollama/project/langgraph-gui/): Visual node-edge graph GUI editor for LangGraph and run with local LLM or online API (263 stars, MIT)
- [Notate](https://madewithwhat.net/ollama/project/notate/): Notate is a desktop chat application that takes AI conversations to the next level. It combines the simplicity of chat with advanced features like document analysis, vector search, and multi-model AI support - all while keeping your data private. (258 stars, Apache-2.0)
- [ollama-ai](https://madewithwhat.net/ollama/project/ollama-ai/): A Ruby gem for interacting with Ollama's API that allows you to run open source AI LLMs (Large Language Models) locally. (257 stars, MIT)
- [olla](https://madewithwhat.net/ollama/project/olla/): High-performance lightweight proxy and load balancer for LLM infrastructure. Intelligent routing, automatic failover and unified model discovery across local and remote inference backends. (256 stars, Apache-2.0)
- [deepdoc](https://madewithwhat.net/ollama/project/deepdoc/): Deep research tool for local knowledge base. (256 stars, MIT)
- [On-Device-Speech-to-Speech-Conversational-AI](https://madewithwhat.net/ollama/project/on-device-speech-to-speech-conversational-ai/): This is an on-CPU real-time conversational system for two-way speech communication with AI models, utilizing a continuous streaming architecture for fluid conversations with immediate responses and natural interruption handling. (255 stars, MIT)
- [conversational-agent-langchain](https://madewithwhat.net/ollama/project/conversational-agent-langchain/): FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB (254 stars, MIT)
- [codinit-dev](https://madewithwhat.net/ollama/project/codinit-dev/): Local-First Open Source web & mobile AI app builder — install on MacOS, Windows & Linux (253 stars, MIT)
- [unsaged](https://madewithwhat.net/ollama/project/unsaged/): Open source chat kit engineered for seamless interaction with AI models. (253 stars, Apache-2.0)
- [prismos-ai](https://madewithwhat.net/ollama/project/prismos-ai/): PrismOS Local-First Agentic Personal AI Operating System | Spectrum Graph + Refractive Core + Multi-Agent Collaboration | Patent Pending US | 100% Local, Zero Cloud | Tauri 2 + React + Rust (252 stars, MIT)
- [whatsapp-ai-bot](https://madewithwhat.net/ollama/project/whatsapp-ai-bot/): This is a WhatsApp AI bot that uses various AI models, including Deepseek, GPT, DALL-E, Gemini and StabilityAI, to generate responses to user input. (249 stars, MIT)
- [Nominate](https://madewithwhat.net/ollama/project/nominate/): macOS app for renaming PDFs based on their contents (249 stars, MIT)
- [curiso](https://madewithwhat.net/ollama/project/curiso/): Curiso is an infinite canvas for your thoughts (247 stars, MIT)
- [oli](https://madewithwhat.net/ollama/project/oli/): A simple, fast terminal based AI coding assistant (246 stars, Apache-2.0)
- [animaworks](https://madewithwhat.net/ollama/project/animaworks/): Organization-as-Code for autonomous AI agents. Brain-inspired memory that grows, consolidates, and forgets. Multi-model (Claude/Codex/Gemini/Cursor/Ollama). (244 stars, Apache-2.0)
- [ollama-reply](https://madewithwhat.net/ollama/project/ollama-reply/): open-source browser extension that leverages the power of the AI to generate engaging replies for social media growth. (243 stars, MIT)
- [openclaw-command-center](https://madewithwhat.net/ollama/project/openclaw-command-center/): AI assistant command and control dashboard — Spawn more Overlords! (242 stars, MIT)
- [ollama-operator](https://madewithwhat.net/ollama/project/ollama-operator/): Yet another operator for running large language models on Kubernetes with ease. Powered by Ollama! (240 stars, Apache-2.0)
- [A5-Browser-Use](https://madewithwhat.net/ollama/project/a5-browser-use/): Your commands control the browser - made easy | Chrome Extension and RESTful API for Browser-Use (239 stars)
- [J.A.R.V.I.S.2.0](https://madewithwhat.net/ollama/project/j-a-r-v-i-s-2-0/): open source assistant hybrid using small models (2b - 5b) and gemini, with image and agentic tool capabilities and integration of RAG with effiecient memory. android support using adb (238 stars)
- [kube-copilot](https://madewithwhat.net/ollama/project/kube-copilot/): Kubernetes Copilot powered by AI (OpenAI/Claude/Gemini/etc) (236 stars, Apache-2.0)
- [persistent-ai-memory](https://madewithwhat.net/ollama/project/persistent-ai-memory/): A persistent local memory for AI, LLMs, or Copilot in VS Code. (234 stars, MIT)
- [Fyin](https://madewithwhat.net/ollama/project/fyin/): Open source alternative to Perplexity AI with ability to run locally (233 stars, AGPL-3.0)
- [snip](https://madewithwhat.net/ollama/project/snip/): The visual communication layer between humans and AI agents. Capture, annotate, render diagrams, and organize with AI — powered by Electron and Ollama. macOS & Linux. (233 stars, MIT)
- [vscodium-rust](https://madewithwhat.net/ollama/project/vscodium-rust/): AI-native IDE with agentic workflows, iPhone emulation on Windows/Linux, PyTorch ML Studio, and ROCm-optimized local AI. Built for security researchers and cross-platform developers. (232 stars)
- [dkn-compute-node](https://madewithwhat.net/ollama/project/dkn-compute-node/): Compute Node of Dria Knowledge Network. (228 stars, Apache-2.0)
- [ollama-hpp](https://madewithwhat.net/ollama/project/ollama-hpp/): Modern, Header-only C++ bindings for the Ollama API. (223 stars, MIT)
- [llms-with-matlab](https://madewithwhat.net/ollama/project/llms-with-matlab/): Connect MATLAB to LLM APIs, including OpenAI® Chat Completions, Azure® OpenAI Services, and Ollama™ (223 stars)
- [hass_local_openai_llm](https://madewithwhat.net/ollama/project/hass-local-openai-llm/): Home Assistant LLM integration for local OpenAI-compatible services (llamacpp, vllm, etc) (223 stars, Apache-2.0)
- [open-responses](https://madewithwhat.net/ollama/project/open-responses/): Self-hosted alternative to OpenAI's Responses API compatible with Agents SDK and works with all model providers (Claude/R1/Qwen/Ollama etc) (221 stars, Apache-2.0)
- [TRAE-Ollama-Bridge](https://madewithwhat.net/ollama/project/trae-ollama-bridge/): Encapsulate the local Ollama into an OpenAI-compatible API to bypass the fixed model limitations in IDEs like TRAE. (219 stars, MIT)
- [insights-lm-local-package](https://madewithwhat.net/ollama/project/insights-lm-local-package/): Open-source, fully private and local alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase, N8N on a React frontend using Ollama for local inference (217 stars, MIT)
- [strix-halo-guide](https://madewithwhat.net/ollama/project/strix-halo-guide/): AMD Strix Halo / Ryzen AI Halo local LLM setup and benchmark guide for Ryzen AI MAX+ 395 and Radeon 8060S: Ollama, llama.cpp Vulkan/RADV, ROCm, 101 t/s Qwen3-Coder, CHADROCK MTP, 120B GGUF, and raw evidence. (215 stars, MIT)
- [knowledgeops-agent](https://madewithwhat.net/ollama/project/knowledgeops-agent/): Enterprise-ready Spring AI platform for RAG, tool calling, async ingestion, JWT/RBAC security, and observability. (214 stars, MIT)
- [ollama-pdf-bot](https://madewithwhat.net/ollama/project/ollama-pdf-bot/): A bot that accepts PDF docs and lets you ask questions on it. (214 stars)
- [Promptimizer](https://madewithwhat.net/ollama/project/promptimizer/): An Automated AI-Powered Prompt Optimization Framework (211 stars)
- [aura](https://madewithwhat.net/ollama/project/aura/): AURA is an agentic harness that turns an LLM model into a reliable, autonomous service capable of executing real SRE work. AURA provides the guardrails, API servers, state management, authentication, streaming, error handling, and tool integrations necessary to run AI SRE agents safely in production. (210 stars, Apache-2.0)
- [ollama-php](https://madewithwhat.net/ollama/project/ollama-php/): This is a PHP library for Ollama. Ollama is an open-source project that serves as a powerful and user-friendly platform for running LLMs on your local machine. It acts as a bridge between the complexities of LLM technology and the desire for an accessible and customizable AI experience. (210 stars, MIT)
- [open-dungeon](https://madewithwhat.net/ollama/project/open-dungeon/): Open Dungeon — the first easy-to-use, fully local AI roleplay app. Story and inline scene images generated 100% on your machine (Gemma 4 QAT via Ollama(and others) + FLUX). No accounts, no API keys, no cloud. (210 stars, MIT)
- [FileWizardAI](https://madewithwhat.net/ollama/project/filewizardai/): Add AI capabilities to your file system using Ollama, Groq, OpenAi and other's api (210 stars)
- [Belullama](https://madewithwhat.net/ollama/project/belullama/): Belullama is a comprehensive AI application that bundles Ollama, Open WebUI, and Automatic1111 (Stable Diffusion WebUI) into a single, easy-to-use package. (208 stars)
- [AI-Reader-V2](https://madewithwhat.net/ollama/project/ai-reader-v2/): AI — · · · | Ollama + 10 LLM | React + FastAPI + SQLite (207 stars, AGPL-3.0)
- [astra-assistants-api](https://madewithwhat.net/ollama/project/astra-assistants-api/): Drop in replacement for the OpenAI Assistants API (206 stars, Apache-2.0)
- [Local-Multimodal-AI-Chat](https://madewithwhat.net/ollama/project/local-multimodal-ai-chat/): Self-hostable multimodal chat with local LLMs (Ollama/OpenAI): PDF RAG, image chat, and Whisper voice, Streamlit + Docker. (203 stars, GPL-3.0)
- [cai](https://madewithwhat.net/ollama/project/cai/): User friendly CLI tool for AI tasks. Stop thinking about LLMs and prompts, start getting results! (203 stars, ISC)
- [APIMyLlama](https://madewithwhat.net/ollama/project/apimyllama/): API up your Ollama Server. (202 stars, MIT)
- [superagentx](https://madewithwhat.net/ollama/project/superagentx/): Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance. (201 stars, MIT)
- [kea-research](https://madewithwhat.net/ollama/project/kea-research/): KEA Research - Multi-AI collaboration platform that combines responses from multiple AI models, cross-validates information, and delivers verified, consensus-backed answers. (201 stars)
- [llama.ui](https://madewithwhat.net/ollama/project/llama-ui/): A minimal interface for AI Companion that runs entirely in your browser. (200 stars, MIT)
- [synto](https://madewithwhat.net/ollama/project/synto/): More than just Karpathy’s LLM Wiki, 100% local with Ollama. Drop Markdown notes → AI extracts concepts → your Obsidian wiki auto-links and grows. Zero sharing. Your notes stay yours. (200 stars, MIT)
- [esperanto](https://madewithwhat.net/ollama/project/esperanto/): A unified interface for various AI model providers (199 stars, MIT)
- [Mindolph](https://madewithwhat.net/ollama/project/mindolph/): Mindolph is an open source personal knowledge management software with Gen-AI support for all desktop platforms. (199 stars, GPL-3.0)
- [noton](https://madewithwhat.net/ollama/project/noton/): A free and open documentation platform built with Laravel and Filament, enhanced by Ollama and OpenClaw for private AI features, focused on clarity, structure, and self-hosted simplicity. (199 stars)
- [ogpt.nvim](https://madewithwhat.net/ollama/project/ogpt-nvim/): Chat with Ollama/OpenRouter/Huggingface/TextGen/OpenAI/Gemini/Anthropic GPT Neovim Plugin: Effortless Natural Language Generation with LLM API (198 stars, Apache-2.0)
- [nekot](https://madewithwhat.net/ollama/project/nekot/): A portable terminal AI interface (196 stars, MIT)
- [PandasAI-Tutorials](https://madewithwhat.net/ollama/project/pandasai-tutorials/): Tutorials for PandasAI (195 stars)
- [langserve_ollama](https://madewithwhat.net/ollama/project/langserve-ollama/): 🇰🇷 LLM. LangServe, Ollama, streamlit + RAG (194 stars)
- [anubis-oss](https://madewithwhat.net/ollama/project/anubis-oss/): Local LLM Testing & Benchmarking for Apple Silicon (194 stars, GPL-3.0)
- [watch-skill](https://madewithwhat.net/ollama/project/watch-skill/): Video understanding and self-verification for AI agents. Turn videos, streams, and agent screen recordings into searchable, timestamped evidence—then use THE LOOP to inspect, fix, and verify the work. MCP, CLI, REST, local-first. (191 stars, MIT)
- [MakerAi](https://madewithwhat.net/ollama/project/makerai/): The AI Operating System for Delphi. 100% native framework with RAG 2.0, autonomous agents, MCP protocol, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Delphi 10.4+ (limited), full support from Delphi 12 Athens. (190 stars, MIT)
- [claudectl](https://madewithwhat.net/ollama/project/claudectl/): Orchestrate a swarm of Claude Code agents with a local brain that learns from you. (190 stars, MIT)
- [discord-ollama](https://madewithwhat.net/ollama/project/discord-ollama/): Discord Bot that utilizes Ollama to interact with any Large Language Models to talk with users and allow them to host/create their own models. (189 stars, CC-BY-4.0)
- [aitools_client](https://madewithwhat.net/ollama/project/aitools-client/): Seth's AI Tools: A Unity based front end that uses ComfyUI and LLMs to create stories, images, movies, quizzes and posters (185 stars)
- [olleh](https://madewithwhat.net/ollama/project/olleh/): An Ollama-compatible CLI for Apple's Foundation Models (184 stars, MIT)
- [svelte-bench](https://madewithwhat.net/ollama/project/svelte-bench/): An LLM benchmark for Svelte 5 based on the OpenAI methodology from OpenAIs paper "Evaluating Large Language Models Trained on Code". (184 stars)
- [ai-video-generator](https://madewithwhat.net/ollama/project/ai-video-generator/): Automate Creation of Story-Based Videos. (182 stars)
- [AgenticX](https://madewithwhat.net/ollama/project/agenticx/): AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat). (182 stars, Apache-2.0)
- [MaIN.NET](https://madewithwhat.net/ollama/project/main-net/): NuGet package designed to make LLMs, RAG, and Agents first-class citizens in.NET (181 stars, MIT)
- [GenerativeAI](https://madewithwhat.net/ollama/project/generativeai/): GenAI & LLM usecases and applications (178 stars)
- [anythingllm-embed](https://madewithwhat.net/ollama/project/anythingllm-embed/): AnythingLLM Embed widget submodule for the main AnythingLLM application (177 stars, MIT)
- [localwriter](https://madewithwhat.net/ollama/project/localwriter/): A LibreOffice Writer extension that adds local-inference generative AI features. (176 stars)
- [ollama-proxy](https://madewithwhat.net/ollama/project/ollama-proxy/): Nginx proxy server in a Docker container to Authenticate & Proxy requests to Ollama from Public Internet via Cloudflare Tunnel (176 stars, MIT)
- [ai-context](https://madewithwhat.net/ollama/project/ai-context/): CLI tool to produce MD context files from many sources, to help interact with LLMs (ChatGPT, Llama3, Claude, etc.). (176 stars, MIT)
- [obsidian-quiz-generator](https://madewithwhat.net/ollama/project/obsidian-quiz-generator/): Generate interactive flashcards from your notes using models from OpenAI (ChatGPT), Google (Gemini), Ollama (local LLMs), and more. Or manually create your own to use with the quiz UI. (175 stars, MIT)
- [llocal](https://madewithwhat.net/ollama/project/llocal/): Aiming to provide a seamless and privacy driven chatting experience with open-sourced technologies(Ollama), particularly open sourced LLM's(eg. Llama3, Phi-3, Mistral). Focused on ease of use. Available on both Windows and Mac. (172 stars, MIT)
- [get-started](https://madewithwhat.net/ollama/project/get-started/): Ollama Cloud is a Highly Scalable Cloud-native Stack for Ollama (172 stars)
- [c4-genai-suite](https://madewithwhat.net/ollama/project/c4-genai-suite/): c4 GenAI Suite (171 stars, Apache-2.0)
- [Vinaya-Journal](https://madewithwhat.net/ollama/project/vinaya-journal/): A secure, local RAG journal that understands you better the more you write. (170 stars, MIT)
- [gollama](https://madewithwhat.net/ollama/project/gollama/): Gollama: Your offline conversational AI companion. An interactive tool for generating creative responses from various models, right in your terminal. Ideal for brainstorming, creative writing, or seeking inspiration. (170 stars, MIT)
- [booster](https://madewithwhat.net/ollama/project/booster/): Booster - open accelerator for LLM models. Better inference and debugging for AI hackers (169 stars)
- [discollama](https://madewithwhat.net/ollama/project/discollama/): Run an AI-powered Discord bot from the comfort of your laptop. (169 stars, MIT)
- [ollama-benchmark](https://madewithwhat.net/ollama/project/ollama-benchmark/): Ollama based Benchmark with detail I/O token per second. Python with Deepseek R1 example. (168 stars, MIT)
- [ollama-mcp](https://madewithwhat.net/ollama/project/ollama-mcp/): An MCP Server for Ollama (168 stars, AGPL-3.0)
- [Hegelion](https://madewithwhat.net/ollama/project/hegelion/): Dialectical reasoning architecture for LLMs (Thesis → Antithesis → Synthesis) (168 stars, MIT)
- [PigHealthSmartMedicine](https://madewithwhat.net/ollama/project/pighealthsmartmedicine/): RAG ， AI 、、、，。 Spring Boot 3 + Spring AI + Milvus + MySQL 8 + MyBatis-Plus + Ollama / DeepSeek / / / SiliconFlow ，，。 (167 stars, MIT)
- [pinchy](https://madewithwhat.net/ollama/project/pinchy/): Self-hosted AI agent platform built on OpenClaw. Enterprise-ready, offline-capable, open source. (166 stars, AGPL-3.0)
- [n8n-marketing-flows](https://madewithwhat.net/ollama/project/n8n-marketing-flows/): n8n — 79, Ollama + key 。Free & open-source n8n marketing-automation workflow templates. (164 stars, MIT)
- [ollama-direct-downloader](https://madewithwhat.net/ollama/project/ollama-direct-downloader/): get the direct download links for ollama models. (163 stars)
- [LLM-for-Whatsapp](https://madewithwhat.net/ollama/project/llm-for-whatsapp/): WhatsApp auto responder with LLM integration. It support OpenAI API and also local LLMs (161 stars, MIT)
- [captain-claw](https://madewithwhat.net/ollama/project/captain-claw/): Self-hosted framework for orchestrating fleets of specialist AI agents — ensemble reasoning and a full agentic coding pipeline, model-agnostic and local-friendly. (161 stars, MIT)
- [glowby](https://madewithwhat.net/ollama/project/glowby/): Glowby lets you build production-ready software with coding agents. (160 stars, MIT)
- [chat_with_your_docs](https://madewithwhat.net/ollama/project/chat-with-your-docs/): Discover and converse with advanced AI models like Mistral, LLAMA2, and GPT-3.5 from leading sources like OLLAMA, Hugging Face, and OpenAI. Easily extract insights from PDFs, web pages, and YouTube videos with our intuitive interface. Unlock the power of knowledge with seamless chat interactions. (160 stars, MIT)
- [agentic-signal](https://madewithwhat.net/ollama/project/agentic-signal/): Visual AI agent workflow automation platform with local LLM integration - build intelligent workflows using drag-and-drop interface, no cloud dependencies required. (160 stars)
- [confichat](https://madewithwhat.net/ollama/project/confichat/): Lightweight, standalone, multi-platform, and privacy focused local LLM chat interface with optional encryption (160 stars, Apache-2.0)
- [mesh-api](https://madewithwhat.net/ollama/project/mesh-api/): MESH-API — Off-Grid AI & API Router & with MCP server & over 30 API extensions for Meshtastic & MeshCore - Seamlessly connect LM Studio, Ollama, AI Providers, 3rd-party APIs, Agents & Home Assistant to your LoRa mesh. Supports custom commands, Twilio SMS, Discord channel routing, & GPS emergency alerts via SMS, email, or Discord + SO MUCH MORE (159 stars, GPL-3.0)
- [chatgpt-copilot](https://madewithwhat.net/ollama/project/chatgpt-copilot/): ChatGPT Copilot Extension for Visual Studio Code (159 stars, ISC)
- [m-courtyard](https://madewithwhat.net/ollama/project/m-courtyard/): M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm. (156 stars)
- [obsidian-ai-tagger](https://madewithwhat.net/ollama/project/obsidian-ai-tagger/): Simplify tagging in Obsidian. Instantly analyze and tag your document with one click for efficient note organization. (155 stars, MIT)
- [Arena-of-Autonomous-Threads](https://madewithwhat.net/ollama/project/arena-of-autonomous-threads/): Top AI Agent Simulator: Build a Local Reddit Forum for LLM Testing 2026 (154 stars)
- [faster-chat](https://madewithwhat.net/ollama/project/faster-chat/): A blazingly fast, privacy first & OPEN AI Chat Interface (154 stars, MIT)
- [ollama-poc](https://madewithwhat.net/ollama/project/ollama-poc/): Getting started with Ollama for Python - a short tutorial for setting up Ollama for Python (154 stars)
- [LLM-automator](https://madewithwhat.net/ollama/project/llm-automator/): Create keyboard shortcuts for an LLM using OpenAI GPT, Ollama, HuggingFace with Automator on macOS. (153 stars)
- [prism-coder](https://madewithwhat.net/ollama/project/prism-coder/): Persistent memory + local AI for coding agents. 2B–27B open-weight LLM fleet, cross-session Mind Palace, cognitive routing, L3 grounding verifier, multi-agent Hivemind. Works with Claude Code, Cursor, VS Code. Offline-first, HIPAA-ready. Free tier included. (153 stars, Apache-2.0)
- [ollama-autocoder](https://madewithwhat.net/ollama/project/ollama-autocoder/): A simple to use Ollama autocompletion engine with options exposed and streaming functionality (153 stars, MIT)
- [openwhisp](https://madewithwhat.net/ollama/project/openwhisp/): Voice to text, entirely on your machine. Hold Fn, speak, release — transcribed, polished, and pasted. No cloud, no account, no latency. (152 stars)
- [Persona-Flow-Chat](https://madewithwhat.net/ollama/project/persona-flow-chat/): Simulate AI Personas in Social Feeds with Real-Time Chat Bots 2026 (152 stars)
- [PhantomCrowd-Simulacra](https://madewithwhat.net/ollama/project/phantomcrowd-simulacra/): PhantomCrowd AI Marketing Simulator 2026: Content Spread Forecasting with Local LLM (152 stars)
- [simulacra-forge](https://madewithwhat.net/ollama/project/simulacra-forge/): Top Autonomous Multi-Agent Dialogue Systems for AI Character Emergence (2026) (152 stars)
- [hass-ollama-conversation](https://madewithwhat.net/ollama/project/hass-ollama-conversation/): Ollama conversation integration for Home Assistant (151 stars, MIT)
- [litellmjs](https://madewithwhat.net/ollama/project/litellmjs/): JavaScript implementation of LiteLLM. (151 stars, MIT)
- [GhidrOllama](https://madewithwhat.net/ollama/project/ghidrollama/): A Ghidra script that enables the analysis of selected functions and instructions using Large Language Models (LLMs). It aims to make reverse-engineering more efficient by using Ollama's API directly within Ghidra. (151 stars)
- [cognithor](https://madewithwhat.net/ollama/project/cognithor/): Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0. (150 stars, Apache-2.0)
- [ollama-dl](https://madewithwhat.net/ollama/project/ollama-dl/): Download models from the Ollama library, without Ollama (150 stars, MIT)
- [homelab-monitor](https://madewithwhat.net/ollama/project/homelab-monitor/): Plug-and-play homelab dashboard in one container — GPU, local-AI VRAM, Docker, systemd, host health. Built-in read-only MCP server so AI agents can explore it too. (149 stars, MIT)
- [omakos](https://madewithwhat.net/ollama/project/omakos/): Opinionated macOS setup (148 stars, MIT)
- [tubecli](https://madewithwhat.net/ollama/project/tubecli/): TubeCLI — The Ultimate Open Source AI Agents Ecosystem | Agents Browser · Agents Workflow · Agents Studio World (147 stars)
- [SmarterRouter](https://madewithwhat.net/ollama/project/smarterrouter/): SmarterRouter: An intelligent LLM gateway and VRAM-aware router for Ollama, llama.cpp, and OpenAI. Features semantic caching, model profiling, and automatic failover for local AI labs. (146 stars, MIT)
- [llm.js](https://madewithwhat.net/ollama/project/llm-js/): Universal LLM Interface (145 stars, MIT)
- [Graphite](https://madewithwhat.net/ollama/project/graphite/): A private, modular node based AI workspace for thinking and creation. Seamlessly connect to Ollama, OpenAI, Gemini, Anthropic, and Groq models in one unified, node-based interface for reasoning, visualization, and exploration — all running locally or via API. (144 stars, MIT)
- [nyx-local-ai](https://madewithwhat.net/ollama/project/nyx-local-ai/): Local-first AI coding agent for VS Code & Cursor. Ollama, LM Studio & your inference fleet. Cursor-grade agent UX — offline, private, zero token cost. (144 stars, MIT)
- [bagidea-office](https://madewithwhat.net/ollama/project/bagidea-office/): A living AI-agent office on your desktop wallpaper — Claude Code agents that walk, work, delegate, learn & hold meetings. Per-agent swappable models (Claude/GLM/DeepSeek/Qwen/Kimi/OpenAI/Gemini/Groq/Ollama…), workflows, plugins, voice & Telegram/Discord/LINE. Open source. (143 stars, MIT)
- [vibecode-playground](https://madewithwhat.net/ollama/project/vibecode-playground/): Vibecode Editor is a fullstack, web-based IDE built with Next.js and Monaco Editor. It features real-time code execution using WebContainers, AI-powered code suggestions via locally running Ollama models, multi-stack templates, an integrated terminal, and a developer-focused UI for seamless coding in the browser. (143 stars)
- [parakeet](https://madewithwhat.net/ollama/project/parakeet/): Parakeet is a GoLang library, made to simplify the development of small generative AI applications with Ollama. (142 stars, MIT)
- [note4yaoo](https://madewithwhat.net/ollama/project/note4yaoo/): daily notes (142 stars)
- [local-rag-researcher-deepseek](https://madewithwhat.net/ollama/project/local-rag-researcher-deepseek/): Local RAG researcher agent built using Langgraph, DeepSeek R1 and Ollama (142 stars)
- [FenixAI_tradingBot](https://madewithwhat.net/ollama/project/fenixai-tradingbot/): Fenix Ai Trading Bot with LangGraph and ollama and multipe providers (142 stars, Apache-2.0)
- [Stellar-Chat](https://madewithwhat.net/ollama/project/stellar-chat/): A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites. (142 stars, AGPL-3.0)
- [Eva01](https://madewithwhat.net/ollama/project/eva01/): Eva01 is NOT an assistant. She is an AI being with her own mind, feelings, and intrinsic drives. Multimodal, Modular design. Built-in voice & face recognition. Plug'n play tools. Compatible with ChatGPT, Claude, Deepseek, Gemini, Grok, and Ollama. Explore the possibilities of Human-AI Interaction. (142 stars, MIT)
- [azmx](https://madewithwhat.net/ollama/project/azmx/): AZMX AI — The sovereign agent platform. (141 stars)
- [ollama-ex](https://madewithwhat.net/ollama/project/ollama-ex/): A nifty little library for working with Ollama in Elixir. (138 stars, Apache-2.0)
- [oneiromancer](https://madewithwhat.net/ollama/project/oneiromancer/): Reverse engineering assistant that uses a locally running LLM to aid with pseudocode analysis. (138 stars, MIT)
- [multi-model-chat](https://madewithwhat.net/ollama/project/multi-model-chat/): Multi-Model Chat — Compare responses from multiple AI models side by side in real-time. Supports GPT, Claude, Mistral, and local models (Ollama). Built with React, TypeScript, and Tailwind CSS. (138 stars, MIT)
- [docmind-ai-llm](https://madewithwhat.net/ollama/project/docmind-ai-llm/): DocMind AI is a powerful, open-source Streamlit application leveraging LlamaIndex, LangGraph, and local Large Language Models (LLMs) via Ollama, LMStudio, llama.cpp, or vLLM for advanced document analysis. Analyze, summarize, and extract insights from a wide array of file formats, securely and privately, all offline. (137 stars, MIT)
- [rllm](https://madewithwhat.net/ollama/project/rllm/): Use multiple LLM backends in a single crate, simple builder-based configuration, and built-in prompt chaining & templating. (137 stars)
- [AI-Dev-Scripts](https://madewithwhat.net/ollama/project/ai-dev-scripts/): Streamline Coding & Speed Up Dev Process. Your Own Personal Senior Engineer For Free! (135 stars, MIT)
- [Doc2XAPITranslate](https://madewithwhat.net/ollama/project/doc2xapitranslate/): ：PDF/MD → → （GPT deepseek ollama google deepL deepLX）→ (Markdown/Word) (134 stars)
- [promptmask](https://madewithwhat.net/ollama/project/promptmask/): Never give AI companies your secrets! A local LLM-based privacy filter for LLM users. Seamless integration with your existing AI tools as a Python library / OpenAI SDK replacement / API Gatetway / Web Server. (134 stars, MIT)
- [Ollama-and-Agents](https://madewithwhat.net/ollama/project/ollama-and-agents/): Implementing Ollama and Agents to create a blogging bot (131 stars)
- [OpenWebui-Tools](https://madewithwhat.net/ollama/project/openwebui-tools/): Custom tools to enhance your Open-Webui Experience! (131 stars, MIT)
- [obsidian-rag](https://madewithwhat.net/ollama/project/obsidian-rag/): Talk to your Obsidian notes! (131 stars, MIT)
- [extensionOS](https://madewithwhat.net/ollama/project/extensionos/): Imagine a world where everyone can access powerful AI models—LLMs, generative image models, and speech recognition—directly in their web browser. Integrating AI into daily browsing will revolutionise online interactions, offering instant, intelligent assistance tailored to individual needs. (131 stars)
- [vektori](https://madewithwhat.net/ollama/project/vektori/): Memory that remembers the story not just the facts. File System Memory and Three layer sentence graph for AI agents -> Facts, Episodes, raw Sentences. One DB. Zero config. (130 stars, Apache-2.0)
- [polar](https://madewithwhat.net/ollama/project/polar/): A LLDB plugin which brings LLMs to LLDB (130 stars, Apache-2.0)
- [Ollama-Colab-Integration](https://madewithwhat.net/ollama/project/ollama-colab-integration/): Jupyter Notebooks for Ollama integration (130 stars, Apache-2.0)
- [wine_variety_classification](https://madewithwhat.net/ollama/project/wine-variety-classification/): Examples on how to use various LLM providers with a Wine Classification problem (129 stars, MIT)
- [colab-llm](https://madewithwhat.net/ollama/project/colab-llm/): This repository provides a ready-to-use Google Colab notebook that turns Colab into a temporary server for running local LLM models using Ollama. It exposes the model API via a secure Cloudflare tunnel, allowing remote access from tools like curl or ROO Code in VS Code — no server setup or cloud deployment required. (129 stars)
- [ai-sdk-ollama](https://madewithwhat.net/ollama/project/ai-sdk-ollama/): A Vercel AI SDK provider for Ollama built on the official ollama package. Type safe, future proof, with cross provider compatibility and native Ollama features. (128 stars, MIT)
- [code-gate](https://madewithwhat.net/ollama/project/code-gate/): Intelligent Git commit code reviewer. Supports local (Ollama) and cloud models (DeepSeek, OpenAI, Anthropic) with a rich CLI UI. AI Git 。 (Ollama) (DeepSeek, OpenAI, Anthropic)， CLI 。 (127 stars, MIT)
- [ocode](https://madewithwhat.net/ollama/project/ocode/): OCode is a sophisticated terminal-native AI coding assistant that provides deep codebase intelligence and autonomous task execution (127 stars)
- [ollama4j-web-ui](https://madewithwhat.net/ollama/project/ollama4j-web-ui/): Web UI for Ollama built in Java with Vaadin, Spring Boot and Ollama4j (126 stars, MIT)
- [language-ai-engineering-lab](https://madewithwhat.net/ollama/project/language-ai-engineering-lab/): Language AI Engineering Lab, a place where you can deeply understand and build modern Language AI systems, from fundamentals to production. (126 stars, GPL-3.0)
- [Obsidian-Text-Transformer-LocalAI](https://madewithwhat.net/ollama/project/obsidian-text-transformer-localai/): Transform your.txt and.md notes into visually appealing and well-structured Markdown for Obsidian, powered by local LLMs using Ollama. (126 stars, MIT)
- [ollama-r](https://madewithwhat.net/ollama/project/ollama-r/): R library to run Ollama language models (126 stars)
- [echoOLlama](https://madewithwhat.net/ollama/project/echoollama/): echoOLlama: A real-time voice AI platform powered by local LLMs. Features WebSocket streaming, voice interactions, and OpenAI API compatibility. Built with FastAPI, Redis, and PostgreSQL. Perfect for private AI conversations and custom voice assistants. (126 stars)
- [ruby-nano-bots](https://madewithwhat.net/ollama/project/ruby-nano-bots/): Ruby Implementation of Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Anthropic Claude, Cohere Command, Google Gemini, Maritaca AI, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions). (125 stars, MIT)
- [websum](https://madewithwhat.net/ollama/project/websum/): Summarize web pages and YouTube videos with pluggable LLM backends (Ollama, OpenAI). CLI, library, and Gradio UI. (125 stars, MIT)
- [nyxstrike](https://madewithwhat.net/ollama/project/nyxstrike/): AI Powered penetration testing Platform for offensive security research (125 stars)
- [jobsmith](https://madewithwhat.net/ollama/project/jobsmith/): AI co-pilot：、、（）。 Claude Code／Codex CLI API key， OpenAI 。 (124 stars, Apache-2.0)
- [OneRAG](https://madewithwhat.net/ollama/project/onerag/): Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests. (124 stars, MIT)
- [open-genai](https://madewithwhat.net/ollama/project/open-genai/): AI「(GENAI)」。SAML(Keycloak)RAG(Qdrant)(Whisper)(SD)。 (123 stars)
- [OllamaYTSumm](https://madewithwhat.net/ollama/project/ollamaytsumm/): A simple youtube summarizer using a local AI ollama server (123 stars, GPL-3.0)
- [guaardvark](https://madewithwhat.net/ollama/project/guaardvark/): The self-hosted AI workstation. Autonomous screen agents, 3-tier neural routing, parallel agent swarms, video generation, 4K/8K upscaling, RAG, voice interface, 70+ tool execution engine — all running locally on your hardware. (122 stars, MIT)
- [audiomuse-ai-plugin](https://madewithwhat.net/ollama/project/audiomuse-ai-plugin/): AudioMuse-AI Jellyfin Plugin enhances music discovery by using sonic analysis to queue similar songs in real time. (122 stars, AGPL-3.0)
- [Onllama.ModelScope2Registry](https://madewithwhat.net/ollama/project/onllama-modelscope2registry/): Ollama Registry / ， Ollama ModelScope / 。 (122 stars, MIT)
- [roampal](https://madewithwhat.net/ollama/project/roampal/): Memory that learns what works. (122 stars)
- [Lectures](https://madewithwhat.net/ollama/project/lectures/): " AI/LLM- Python: " LLM-,., Mistral AI API, LangChain, Arize Phoenix, FastAPI, PostgreSQL Docker. (121 stars)
- [cria](https://madewithwhat.net/ollama/project/cria/): Run LLMs locally with as little friction as possible. (121 stars, MIT)
- [self-hosted-ai-stack](https://madewithwhat.net/ollama/project/self-hosted-ai-stack/): Deploy a complete self-hosted AI stack with Docker Compose: Ollama, LiteLLM, AnythingLLM, Whisper, WhisperLive, Kokoro, Embeddings, Docling and MCP Gateway. Local-first, private by default, with lightweight stacks, optional HTTPS and NVIDIA CUDA acceleration. Multi-arch: amd64, arm64. (120 stars, MIT)
- [radio-llm](https://madewithwhat.net/ollama/project/radio-llm/): LLM Platform with Meshtastic (120 stars, GPL-3.0)
- [agentkeeper](https://madewithwhat.net/ollama/project/agentkeeper/): Own your AI memory — import ChatGPT, Claude and Gemini exports, see what each AI knows about you. Checkpoint/restore and cross-model continuity for agents. (119 stars, MIT)
- [ai-git-bot](https://madewithwhat.net/ollama/project/ai-git-bot/): The self-hosted AI workflow automation platform for Git repositories. (119 stars, MIT)
- [ollama-to-lmstudio-symlinks](https://madewithwhat.net/ollama/project/ollama-to-lmstudio-symlinks/): A small utility to use Ollama models in LM Studio (and vice versa via symlinking) without duplicating disk space (119 stars, MIT)
- [zyron-assistant](https://madewithwhat.net/ollama/project/zyron-assistant/): A local, privacy-focused AI desktop assistant for Windows. Control your PC remotely via Telegram or locally with Voice commands. Powered by Ollama. (118 stars, MIT)
- [Conduit](https://madewithwhat.net/ollama/project/conduit/): Unified Swift SDK for LLM inference across local and cloud providers (118 stars, MIT)
- [voidllm](https://madewithwhat.net/ollama/project/voidllm/): Privacy-first LLM proxy and AI gateway — load balancing, multi-provider routing, API key management, usage tracking, rate limiting. Self-hosted. Zero knowledge of your prompts. (118 stars)
- [alfred-ollama](https://madewithwhat.net/ollama/project/alfred-ollama/): Dehydrated Ollama CLI Interface (117 stars)
- [shell-pilot](https://madewithwhat.net/ollama/project/shell-pilot/): A simple, lightweight shell script to interact with OpenAI or Ollama or Mistral AI or LocalAI or ZhipuAI from the terminal, and enhancing intelligent system management without any dependencies(pure shell). (116 stars, MIT)
- [litecode](https://madewithwhat.net/ollama/project/litecode/): CLI Tool for 8k context ai models (115 stars, ISC)
- [dnd-llm-game](https://madewithwhat.net/ollama/project/dnd-llm-game/): MVP of an idea using multiple local LLM models to simulate and play D&D (114 stars)
- [VT.ai](https://madewithwhat.net/ollama/project/vt-ai/): VT.ai - multimodal AI chat app with dynamic conversation routing (114 stars, MIT)
- [llm_notebooks](https://madewithwhat.net/ollama/project/llm-notebooks/): It's actively developed around agent, embeddings, gpt4, and is a solid reference for anyone building with these tools. (114 stars, Apache-2.0)
- [german-ocr](https://madewithwhat.net/ollama/project/german-ocr/): German-OCR is specifically trained to extract text from German documents including invoices, receipts, forms, and other business documents. (113 stars, Apache-2.0)
- [gpt4free.js](https://madewithwhat.net/ollama/project/gpt4free-js/): Using ChatGPT4/3.5-turbo/Gemini-Pro/BlackBox and etc. unlimited and free (113 stars, GPL-3.0)
- [Open-Cluely](https://madewithwhat.net/ollama/project/open-cluely/): Open-source free alternative to Cluely & Parakeet AI — real-time AI interview copilot with live transcription, screen capture, and AI-powered answers. Plug and play desktop app for coding interviews, technical interviews, and meetings. No subscription needed. (113 stars)
- [TwoAI](https://madewithwhat.net/ollama/project/twoai/): A simple experiment on letting two local LLM have a conversation about anything! (112 stars, MIT)
- [ollamaMQ](https://madewithwhat.net/ollama/project/ollamamq/): High-performance Ollama & LM Studio proxy with per-user fair-share queuing, round-robin scheduling, and a real-time TUI dashboard. Built in Rust. (112 stars, MIT)
- [HashCortX](https://madewithwhat.net/ollama/project/hashcortx/): Local-first AI workspace for macOS. Ten workspaces — Coder, Agent Swarm, Finance, 3D Forge, Sandbox, Virtual OS and more. 12 providers, or fully offline with Ollama. No backend, no telemetry, no account. Your keys and files stay on your machine. 8.9 MB, MIT. (112 stars, MIT)
- [AgC](https://madewithwhat.net/ollama/project/agc/): AgC is the open-core platform that powers Open Agentic Compute — a new compute substrate purpose-built for deploying, running, and orchestrating AI agents at scale. (112 stars, Apache-2.0)
- [quorum-cli](https://madewithwhat.net/ollama/project/quorum-cli/): Multi-agent AI discussion CLI for structured debates between LLMs (111 stars)
- [doctor-dok](https://madewithwhat.net/ollama/project/doctor-dok/): Doctor Dok is an AI based medical data framework and patient's med vault. Parse any health related PDF/Image to JSON and then use Chat GPT / LLama to discuss it! WARNING: Don't decide on your health based on AI Chat - it's just for Research purposes. (111 stars, MIT)
- [telegram-llm-bot](https://madewithwhat.net/ollama/project/telegram-llm-bot/): Local-first Telegram AI bot with Ollama tool calling, voice transcription, MinIO storage, SearchApi web search, and readiness checks (110 stars, MIT)
- [pyvisionai](https://madewithwhat.net/ollama/project/pyvisionai/): The PyVisionAI Official Repo (110 stars, Apache-2.0)
- [sllm.nvim](https://madewithwhat.net/ollama/project/sllm-nvim/): Integrate ChatGPT-style LLMs into Neovim: ask questions, keep multi-file context, pull diagnostics / command output, and chat without leaving your editor. Highly configurable, async, lua-only plugin. (110 stars, Apache-2.0)
- [gem-assist](https://madewithwhat.net/ollama/project/gem-assist/): Command-line personal assistant using your favorite proprietary or local models with access to over 30+ tools (109 stars, BSD-3-Clause)
- [agentsystems](https://madewithwhat.net/ollama/project/agentsystems/): Self-hosted app store and runtime for AI agents. Install third-party agents, run them on your infrastructure with your own model providers (Ollama, Bedrock, OpenAI, etc.). Container isolation, credential injection, default-deny egress. (109 stars, Apache-2.0)
- [saga](https://madewithwhat.net/ollama/project/saga/): Autonomous, agentic, creative story writing system that incorporates stored embeddings and Knowledge Graphs. (108 stars, Apache-2.0)
- [reasoning-bank-slm](https://madewithwhat.net/ollama/project/reasoning-bank-slm/): An experiment that applies Google Research's `ReasoningBank` technique to Small Language Models. This experiment hopes to show that the same gains from the ReasoningBank paper also applies to much smaller, less capable models. (108 stars)
- [Flamehaven-Filesearch](https://madewithwhat.net/ollama/project/flamehaven-filesearch/): Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min (106 stars, MIT)
- [ObsidianRAG](https://madewithwhat.net/ollama/project/obsidianrag/): Ask questions about your Obsidian notes using local AI. Privacy-first RAG with Ollama, LM Studio, or any OpenAI-compatible server. Obsidian plugin + Docker + PyPI. (106 stars, MIT)
- [ollama-ai-provider-v2](https://madewithwhat.net/ollama/project/ollama-ai-provider-v2/): Vercel AI Provider for running LLMs locally using Ollama (105 stars, Apache-2.0)
- [boxxy](https://madewithwhat.net/ollama/project/boxxy/): Stupid Linux Terminal (105 stars)
- [sample-connector-for-bedrock](https://madewithwhat.net/ollama/project/sample-connector-for-bedrock/): Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services. (104 stars, MIT-0)
- [Notechat](https://madewithwhat.net/ollama/project/notechat/): Local Apple Notes + LLM Chat (104 stars, MIT)
- [LLM_Selector](https://madewithwhat.net/ollama/project/llm-selector/): This code implements a Local LLM Selector from the list of Local Installed Ollama LLMs for your specific user Query (104 stars)
- [obsidian-similar-notes](https://madewithwhat.net/ollama/project/obsidian-similar-notes/): A project worth exploring. (103 stars, MIT)
- [Council](https://madewithwhat.net/ollama/project/council/): Ask several AI models one question — they answer in parallel, critique each other blind, and you decide. Native macOS, bring-your-own-keys. (102 stars, MIT)
- [litellm-rs](https://madewithwhat.net/ollama/project/litellm-rs/): A high-performance AI Gateway written in Rust — call 100+ LLM APIs using OpenAI format (102 stars, MIT)
- [GPT-Gradio-Agent](https://madewithwhat.net/ollama/project/gpt-gradio-agent/): Create your own GPT intelligent assistants using Azure OpenAI, Ollama, and local models, build and manage local knowledge bases, and expand your horizons with AI search engines. Azure OpenAI、Ollama GPT ，， AI 。 (101 stars, Apache-2.0)
- [gokin](https://madewithwhat.net/ollama/project/gokin/): A powerful CLI tool that brings AI assistance directly to your terminal. Gokin understands your codebase and helps with file operations, code search, shell commands, git workflows, task management, and more - all through natural language. (101 stars, MIT)
- [mac_llm_client](https://madewithwhat.net/ollama/project/mac-llm-client/): Mac Ollama Client (100 stars, GPL-3.0)
- [jeecg-boot-starter](https://madewithwhat.net/ollama/project/jeecg-boot-starter/): JeeccgBoot， starter：、xxljob、starter、rabbitmq、、shardingsphere、mongondb (100 stars, Apache-2.0)
- [ai_osint](https://madewithwhat.net/ollama/project/ai-osint/): Curated AI OSINT resources — Google dorks, Shodan queries, GitHub dorks, and techniques to discover exposed LLM endpoints, leaked AI API keys, misconfigured vector databases, and unprotected AI agents (100 stars)
- [ai-orchestrator](https://madewithwhat.net/ollama/project/ai-orchestrator/): Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack. (100 stars, MIT)
- [houtini-lm](https://madewithwhat.net/ollama/project/houtini-lm/): MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, Groq, Cerebras. (99 stars, MIT)
- [ollamaGUI](https://madewithwhat.net/ollama/project/ollamagui/): Ollama app for macos (99 stars, MIT)
- [PAI](https://madewithwhat.net/ollama/project/pai/): A complete private computer on a USB stick. PAI is a bootable Debian 12 Linux distro that runs Ollama locally on any x86_64 or ARM64 machine — full desktop, local AI, hardened networking, all in RAM. Plug in, boot in seconds, work anywhere, pull the stick and nothing stays behind. Your AI on your hardware, no cloud, no accounts. https://pai.direct (99 stars)
- [LLMinator](https://madewithwhat.net/ollama/project/llminator/): Gradio based tool to run opensource LLM models directly from Huggingface (99 stars, MIT)
- [mem0-mcp-selfhosted](https://madewithwhat.net/ollama/project/mem0-mcp-selfhosted/): Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM. (99 stars, MIT)
- [discord-summarizer](https://madewithwhat.net/ollama/project/discord-summarizer/): Use LLMs to summarize discord channels to generate actionable insights from (98 stars)
- [chainlit_langgraph](https://madewithwhat.net/ollama/project/chainlit-langgraph/): A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents. (98 stars, MIT)
- [AI-Novel-Writer](https://madewithwhat.net/ollama/project/ai-novel-writer/): It's actively developed around ai-writing, electron, fiction-writing, and is a solid reference for anyone building with these tools. (98 stars, GPL-3.0)
- [Ollama-Model-Dumper](https://madewithwhat.net/ollama/project/ollama-model-dumper/): Export and Backup Ollama models into GGUF and ModelFile (97 stars)
- [openharness](https://madewithwhat.net/ollama/project/openharness/): Open source local terminal cli with any LLM (96 stars, MIT)
- [DocSentinel](https://madewithwhat.net/ollama/project/docsentinel/): MCP server for AI agent for cybersecurity: automate assessment of documents, questionnaires & reports. Multi-format parsing, RAG knowledge base,Risks, compliance gaps, remediations. (96 stars, MIT)
- [i18n-ai-translate](https://madewithwhat.net/ollama/project/i18n-ai-translate/): Use ChatGPT, Gemini, DeepSeek, Llama, or Claude to translate your i18n JSON to any language (95 stars, GPL-3.0)
- [commitollama](https://madewithwhat.net/ollama/project/commitollama/): AI Commits with ollama VS Extension. (95 stars, MIT)
- [UGTLive](https://madewithwhat.net/ollama/project/ugtlive/): Live AI-powered screen translation via LLMs & GPU OCR. 26 languages, manga support, PDF/CBZ conversion, audio reading, cloud or fully local operation. For gamers, manga readers, and language learners. (95 stars)
- [liliumai](https://madewithwhat.net/ollama/project/liliumai/): Lilium AI: The ultimate personal AI agent framework for autonomous computer control. Featuring browser automation, shell execution, and multi-channel integration (WeChat/Telegram/Discord). (94 stars, MIT)
- [OllamaR](https://madewithwhat.net/ollama/project/ollamar/): Ollama | 、，Ollama。，。 (94 stars, GPL-3.0)
- [phlox](https://madewithwhat.net/ollama/project/phlox/): Open source, local first AI medical agent for desktop and web. (94 stars, MIT)
- [ellama](https://madewithwhat.net/ollama/project/ellama/): Friendly interface to chat with an Ollama instance. (94 stars, Apache-2.0)
- [ollama-mcp-bridge](https://madewithwhat.net/ollama/project/ollama-mcp-bridge/): Extend the Ollama API with dynamic AI tool integration from multiple MCP (Model Context Protocol) servers. Fully compatible, transparent, and developer-friendly, ideal for building powerful local LLM applications, AI agents, and custom chatbots (94 stars, MIT)
- [MuckScraper](https://madewithwhat.net/ollama/project/muckscraper/): Self-hosted news aggregator with LLM bias scoring and summarization. (94 stars)
- [viper](https://madewithwhat.net/ollama/project/viper/): VIPER: Stay ahead of threats with AI-driven vulnerability intelligence. Prioritize CVEs effectively using NVD, EPSS, CISA KEV, and Google Gemini insights, all on an interactive dashboard (94 stars, GPL-3.0)
- [focu](https://madewithwhat.net/ollama/project/focu/): Open-source Mindful Productivity App for macOS (93 stars, AGPL-3.0)
- [clicky-windows](https://madewithwhat.net/ollama/project/clicky-windows/): Free offline AI assistant for Windows — reads your screen, hears your question, speaks the answer. No API key, runs locally with Ollama. (93 stars, MIT)
- [OpenDocuments](https://madewithwhat.net/ollama/project/opendocuments/): Self-hosted RAG platform for AI document search across GitHub, Notion, Google Drive, local files, and web sources with citations. (93 stars, MIT)
- [sqlmap-skynet](https://madewithwhat.net/ollama/project/sqlmap-skynet/): SQLMap with Autonomous AI, phased workflows, RAG memory, and MCP Agent Tools (93 stars, Apache-2.0)
- [vault-curate](https://madewithwhat.net/ollama/project/vault-curate/): Hybrid semantic search and AI curation for your vault. Combines BM25 keyword, on-device WebGPU embeddings, and fuzzy title matching. Multilingual, with particularly strong Chinese/CJK support. Opt-in AI features auto-generate note descriptions and topic-grouped Maps of Content. Local-first, no API keys. (93 stars, MIT)
- [Ollama-models](https://madewithwhat.net/ollama/project/ollama-models/): A collection of zipped Ollama models for offline use. Simply download, extract, and set up your desired model anywhere. (93 stars, GPL-3.0)
- [precis](https://madewithwhat.net/ollama/project/precis/): Precis is an extensible self-hosted AI-enabled RSS reader with a focus on notifications and support for theming (93 stars, MIT)
- [ollama-webui-traefik-docker](https://madewithwhat.net/ollama/project/ollama-webui-traefik-docker/): A project worth exploring. (92 stars, MIT)
- [ai-powered-video-analyzer](https://madewithwhat.net/ollama/project/ai-powered-video-analyzer/): An offline AI-powered video analysis tool with object detection (YOLO), image captioning (BLIP), speech transcription (Whisper), audio event detection (PANNs), and AI-generated summaries (LLMs via Ollama). It ensures privacy and offline use with a user-friendly GUI. (92 stars)
- [PAIDEIA](https://madewithwhat.net/ollama/project/paideia/): Paideia — a Claude Code plugin that forms exam readiness locally. Stop renting your own learning. (91 stars, MIT)
- [cc-relay](https://madewithwhat.net/ollama/project/cc-relay/): Blazing fast LLMs API Gateway written in Go (90 stars, AGPL-3.0)
- [OllamaDroid](https://madewithwhat.net/ollama/project/ollamadroid/): A Ollama client for Android! (90 stars)
- [OdinRunes](https://madewithwhat.net/ollama/project/odinrunes/): Odin Runes, a java-based GPT client, facilitates interaction with your preferred GPT model right through your favorite text editor. There is more: It also facilitates prompt-engineering by extracting context from diverse sources using technologies such as OCR, enhancing overall productivity and saving costs. (90 stars, MIT)
- [langchain-langgraph-tutorial](https://madewithwhat.net/ollama/project/langchain-langgraph-tutorial/): Comprehensive tutorials for LangChain, LangGraph, and LangSmith using Groq LLM. Learn to build advanced AI systems, from basics to production-ready applications. Covers key concepts, real-world examples, and best practices. Ideal for beginners and experts alike. Elevate your AI development skills! (90 stars)
- [doclingwithollama](https://madewithwhat.net/ollama/project/doclingwithollama/): Docling with Ollama - RAG on Local Files with Local Models (90 stars, Apache-2.0)
- [chiken](https://madewithwhat.net/ollama/project/chiken/): Zotero, RAG, MCP, and deep research (89 stars, MIT)
- [screencap](https://madewithwhat.net/ollama/project/screencap/): To remember what happened yesterday, share progress and break addictions. With E2EE social publishing, local LLM classification, and MCP support (89 stars, MIT)
- [a2a-adapter](https://madewithwhat.net/ollama/project/a2a-adapter/): Open Source A2A Protocol Adapter SDK for Different Agent Frameworks (89 stars, Apache-2.0)
- [app](https://madewithwhat.net/ollama/project/app/): Privacy-first AI roleplay & BYOK (Bring Your Own Key) & roleplaying, companion and storytelling app with long-term memory, custom characters, and 20+ providers. Android, Windows, macOS, Linux. Supports 20+ LLM Providers. (89 stars, AGPL-3.0)
- [Ollama-Copilot](https://madewithwhat.net/ollama/project/ollama-copilot/): Neovim plugin for code completion (88 stars)
- [Local-RAG-with-Ollama](https://madewithwhat.net/ollama/project/local-rag-with-ollama/): Build a 100% local Retrieval Augmented Generation (RAG) system with Python, LangChain, Ollama and ChromaDB! (88 stars)
- [agents.cpp](https://madewithwhat.net/ollama/project/agents-cpp/): A high performance C++ SDK for AI Agents (88 stars)
- [LLMOne](https://madewithwhat.net/ollama/project/llmone/): Enterprise-grade LLM automated deployment tool that makes AI servers truly "plug-and-play". (87 stars, MulanPSL-2.0)
- [bott](https://madewithwhat.net/ollama/project/bott/): bott: Your Terminal Copilot (87 stars)
- [scrapeGPT](https://madewithwhat.net/ollama/project/scrapegpt/): ScrapeGPT is a RAG-based Telegram bot designed to scrape and analyze websites, then answer questions based on the scraped content. The bot utilizes Retrieval Augmented Generation and webscraping to return natural language answers to the user's queries. (87 stars, MIT)
- [JoeBro](https://madewithwhat.net/ollama/project/joebro/): A native macOS AI workspace that's actually yours — local-first, private, pro-AI and anti-big-tech. Own your assistant, don't rent it. GPLv3. (87 stars, GPL-3.0)
- [GameStringer](https://madewithwhat.net/ollama/project/gamestringer/): Desktop app that auto-detects a game's engine, extracts the text, translates it with local or cloud AI, and re-applies the patch. 20+ engines, 20+ AI providers, 11 UI languages. Free & source-available, single-player focused. (87 stars)
- [asktube](https://madewithwhat.net/ollama/project/asktube/): AskTube - An AI-powered YouTube video summarizer and QA assistant powered by Retrieval Augmented Generation (RAG). Run it entirely on your local machine with Ollama, or cloud-based models like Claude, OpenAI, Gemini, Mistral, and more. (86 stars, MIT)
- [Retrochat-v2](https://madewithwhat.net/ollama/project/retrochat-v2/): RetroChat is a powerful command-line interface for interacting with various AI language models. It provides a seamless experience for engaging with different chat providers while offering robust features for managing and customizing your conversations. The code in this repo is 100% AI generated. Nothing has been written by a human. (86 stars)
- [llamastash](https://madewithwhat.net/ollama/project/llamastash/): A fast terminal native app (TUI) and CLI with init wizard for launching local LLMs with zero overhead (85 stars, MIT)
- [tiny-ai-client](https://madewithwhat.net/ollama/project/tiny-ai-client/): Tiny client for LLMs with vision and tool calling. As simple as it gets. (85 stars, Apache-2.0)
- [fast-rag](https://madewithwhat.net/ollama/project/fast-rag/): LLM Rag Intelligent Q&A Robot (85 stars, MIT)
- [Ghostbar](https://madewithwhat.net/ollama/project/ghostbar/): Free macOS-native Cluely alternative. AI chat invisible to screen sharing. Ollama, OpenAI, Claude. Swift. No Electron. No subscription. (85 stars)
- [ollama-benchmark](https://madewithwhat.net/ollama/project/ollama-benchmark/): Handy tool to measure the performance and efficiency of LLMs workloads. (84 stars, MIT)
- [mate](https://madewithwhat.net/ollama/project/mate/): Production-ready multi-agent orchestration engine built on Google ADK. Database-driven agent config, 50+ LLM providers, MCP protocol, persistent memory, web dashboard, RBAC. (84 stars, Apache-2.0)
- [rag-template](https://madewithwhat.net/ollama/project/rag-template/): Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI. (84 stars, Apache-2.0)
- [bah-browser](https://madewithwhat.net/ollama/project/bah-browser/): Open-source AI browser agent — type plain-language commands and Bah operates the web for you. Works with free AI, cloud providers, or local Ollama models. (84 stars, MIT)
- [NeoGPT](https://madewithwhat.net/ollama/project/neogpt/): Chat effortlessly, execute commands, and interpret code with Llama3, Phi3, and more - your local AI assistant. Enjoy seamless interaction while ensuring ultimate privacy (84 stars, MIT)
- [LiveCaption](https://madewithwhat.net/ollama/project/livecaption/): 。 AI ， SenseVoice、Ollama DeepSeek。 | Real-time tab audio bilingual subtitle translation system using local ASR (SenseVoice) and LLMs (Ollama / DeepSeek). 100% offline & private. (83 stars)
- [multi-ai-advisor-mcp](https://madewithwhat.net/ollama/project/multi-ai-advisor-mcp/): council of models for decision (83 stars, MIT)
- [the-vibe-coding-handbook](https://madewithwhat.net/ollama/project/the-vibe-coding-handbook/): Complete Zero-to-Hero Guide for Vibe Coding, AI-Assisted Development, Local LLMs, Frontend, Backend, DevOps, Cloud, Hosting, Debugging, Deployment, and AI-Native Software Engineering. (83 stars)
- [OSINT-with-LLM](https://madewithwhat.net/ollama/project/osint-with-llm/): It’s an OSINT reconnaissance poc powered by Local LLMs (Ollama). You can feed it an email, domain, or IP, and it automatically performs multiple types of reconnaissance, then generates a clean human-readable report using a local LLM. (83 stars)
- [llm-rag-with-reranker-demo](https://madewithwhat.net/ollama/project/llm-rag-with-reranker-demo/): LLM RAG Application with Cross-Encoders Re-ranking for YouTube video (83 stars)
- [ollama_streamlit_demos](https://madewithwhat.net/ollama/project/ollama-streamlit-demos/): Streamlit UI for Ollama that has support for vision and chat models (82 stars)
- [comfy-prompt-studio](https://madewithwhat.net/ollama/project/comfy-prompt-studio/): AIWeb - Ollama/Gemini + ComfyUI + Flask WebSocket (82 stars, MIT)
- [meeting-transcriber](https://madewithwhat.net/ollama/project/meeting-transcriber/): On-device meeting transcriber for macOS — auto-records Teams/Zoom/Webex, transcribes & separates speakers locally. No cloud. Open-source alternative to Otter/Granola/Fireflies. (82 stars, MIT)
- [aiPlayground](https://madewithwhat.net/ollama/project/aiplayground/): Some experiments around AI to learn. (81 stars)
- [alts](https://madewithwhat.net/ollama/project/alts/): 100% free, local & offline voice assistant with speech recognition (81 stars)
- [lisa](https://madewithwhat.net/ollama/project/lisa/): AI-: n8n + Ollama + Supabase + RAG. self-hosted ChatGPT. 5. (81 stars, Apache-2.0)
- [goai](https://madewithwhat.net/ollama/project/goai/): A friendly API and abstractions for developing AI applications. (80 stars, Apache-2.0)
- [openacme](https://madewithwhat.net/ollama/project/openacme/): An AI workforce platform: role-specialized agents with multi-provider LLM, MCP, tasks, and a web + CLI UI. You're in charge. (80 stars, MIT)
- [oai2ollama](https://madewithwhat.net/ollama/project/oai2ollama/): OpenAI API -> Ollama API (original idea: https://github.com/microsoft/vscode-copilot-release/issues/7518#issuecomment-3043670968) (80 stars)
- [mcp-llm](https://madewithwhat.net/ollama/project/mcp-llm/): An MCP server that provides LLMs access to other LLMs (79 stars, MIT)
- [open-tutor-ai-CE](https://madewithwhat.net/ollama/project/open-tutor-ai-ce/): An open-source project designed to provide an educational and collaborative AI-powered platform (78 stars, BSD-3-Clause)
- [ollama-instructor](https://madewithwhat.net/ollama/project/ollama-instructor/): Python library for the instruction and reliable validation of structured outputs (JSON) of Large Language Models (LLMs) with Ollama and Pydantic. -> Deterministic work with LLMs. (78 stars, MIT)
- [ask-llm](https://madewithwhat.net/ollama/project/ask-llm/): Interact with any LLM service (78 stars, MIT)
- [wingman](https://madewithwhat.net/ollama/project/wingman/): Inference Hub for AI at Scale (78 stars, MIT)
- [homeassistant-ollama-addon](https://madewithwhat.net/ollama/project/homeassistant-ollama-addon/): A Home Assistant App (ex addon) to provide Ollama for AI (77 stars)
- [Discute](https://madewithwhat.net/ollama/project/discute/): Discute is an innovative, open-source language learning application designed to help users practice and perfect their speaking skills in a new language. (77 stars, Apache-2.0)
- [examples](https://madewithwhat.net/ollama/project/examples/): Examples and code snippets demonstrating common ways of integrating Neon with various frameworks and languages. (77 stars)
- [ShibaClaw](https://madewithwhat.net/ollama/project/shibaclaw/): Self-hosted security-first AI agent · 28 providers · 11 chat channels · WebUI · 3-level memory · task-schedule · automation · skills · MCP (77 stars, Apache-2.0)
- [job_seeker](https://madewithwhat.net/ollama/project/job-seeker/): To make job hunting more fun and less horrendous. (77 stars)
- [opilot](https://madewithwhat.net/ollama/project/opilot/): Opilot: Ollama for GitHub Copilot VS Code Extension – Run Ollama models locally and in the cloud within GitHub Copilot Chat (76 stars, MIT)
- [julius](https://madewithwhat.net/ollama/project/julius/): Simple LLM service identification - translate IP:Port to Ollama, vLLM, LiteLLM, or 60+ other AI services in seconds (76 stars, Apache-2.0)
- [swift-gen-kit](https://madewithwhat.net/ollama/project/swift-gen-kit/): GenKit is a library that abstracts away all the differences across generative AI platforms. (76 stars, MIT)
- [excelchat-streamlit](https://madewithwhat.net/ollama/project/excelchat-streamlit/): ExcelChat - Chat w/ your excel file (76 stars, Apache-2.0)
- [ocgo](https://madewithwhat.net/ollama/project/ocgo/): OCGO Provides an Ollama-style CLI for running Claude Code through an OpenCode Go subscription via a local Anthropic-compatible proxy. (76 stars, MIT)
- [Onllama.Tiny](https://madewithwhat.net/ollama/project/onllama-tiny/): ， Ollama LLM。 (75 stars, MPL-2.0)
- [TermiPet](https://madewithwhat.net/ollama/project/termipet/): A macOS desktop pet assistant that runs alongside Claude Code and the terminal, supporting status cards, quick commands, AI usage tracking, and local-first pet chat. (75 stars, Apache-2.0)
- [Telegram-Summarize-Bot](https://madewithwhat.net/ollama/project/telegram-summarize-bot/): A Telegram bot that summarizes messages from a chat using AI. (75 stars, MIT)
- [llm-gateway](https://madewithwhat.net/ollama/project/llm-gateway/): Zero trust LLM gateway. OpenAI-compatible proxy with semantic routing and load balancing across OpenAI, Anthropic, Ollama, vLLM, and any compatible backend. Identity-based access, virtual API keys, and end-to-end encryption via OpenZiti (75 stars, Apache-2.0)
- [Soup](https://madewithwhat.net/ollama/project/soup/): Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done. (75 stars, Apache-2.0)
- [dspy-micro-agent](https://madewithwhat.net/ollama/project/dspy-micro-agent/): Minimal agent runtime built with DSPy modules and a thin Python loop. Includes CLI, FastAPI server, and eval harness with OpenAI/Ollama support. (75 stars, MIT)
- [GPTModels.nvim](https://madewithwhat.net/ollama/project/gptmodels-nvim/): GPTModels - a multi model, window based LLM AI plugin for neovim, with an emphasis on stability and clean code (74 stars, MIT)
- [crewai-sheets-ui](https://madewithwhat.net/ollama/project/crewai-sheets-ui/): Use google sheets as a gui for crewAI (74 stars, MIT)
- [crab-code](https://madewithwhat.net/ollama/project/crab-code/): Open-source alternative to Claude Code, built from scratch in Rust. Agentic coding CLI — thinks, plans, and executes with any LLM. Compatible with Claude Code workflows. (74 stars, Apache-2.0)
- [aitelegrambot](https://madewithwhat.net/ollama/project/aitelegrambot/): aitelegrambot is a telegram bot which uses Ollama as its backend. (73 stars, GPL-3.0)
- [otto-m8](https://madewithwhat.net/ollama/project/otto-m8/): Flowchart-like UI to interconnect LLM's and Huggingface models, and deploy them as a REST API with little to no code. (72 stars, Apache-2.0)
- [hal-voice-assistant](https://madewithwhat.net/ollama/project/hal-voice-assistant/): A voice-activated AI assistant modeled after HAL 9000, built with Raspberry Pi and self-hosted services for speech-to-text, language generation, and text-to-speech. (72 stars)
- [excel-ai-assistant](https://madewithwhat.net/ollama/project/excel-ai-assistant/): A Python desktop application that enhances Excel and CSV files using AI transformations. Features dual AI backends (OpenAI API and local Ollama models), customizable prompt templates, batch processing, and an intuitive interface. Perfect for data cleaning, formatting, and analysis tasks with the power of large language models. (72 stars, MIT)
- [semantic-mail](https://madewithwhat.net/ollama/project/semantic-mail/): Lightweight local swappable semantic search & ask CLI agent for Gmail (72 stars)
- [ollamazing](https://madewithwhat.net/ollama/project/ollamazing/): Web extension to use local AI models (Ollama) (72 stars, MIT)
- [writher](https://madewithwhat.net/ollama/project/writher/): Offline voice productivity for Windows - dictate text into any app and control a local AI assistant by voice. Manages notes, to-do lists, appointments & reminders. 100% local: faster-whisper + Ollama + SQLite. No cloud, no telemetry. Free and open source alternative to Wispr Flow (72 stars, MIT)
- [zhiying](https://madewithwhat.net/ollama/project/zhiying/): ZhiYing — AI Agents | Agents Browser · Agents Workflow · Agents Studio World (71 stars)
- [Crawllama](https://madewithwhat.net/ollama/project/crawllama/): CrawlLama is an local AI agent that answers questions via Ollama and integrates web- and RAG-based research. (71 stars)
- [quant-whisper](https://madewithwhat.net/ollama/project/quant-whisper/): A hedge fund on your local machine. Terminal-native algo trading engine in Go with local LLM inference (Ollama), Bubble Tea TUI, paper/live trading, and zero cloud dependency. BYOB. (71 stars, MIT)
- [modular-rag](https://madewithwhat.net/ollama/project/modular-rag/): Samples showing architectural patterns for Modular RAG using Spring AI and Ollama. (71 stars, Apache-2.0)
- [terminator](https://madewithwhat.net/ollama/project/terminator/): Completely free opensource alternative to manus, openhands and cua (70 stars, MIT)
- [clientai](https://madewithwhat.net/ollama/project/clientai/): A unified client for AI providers with built-in agent support. (70 stars, MIT)
- [open_local_ui](https://madewithwhat.net/ollama/project/open-local-ui/): Native desktop app for Windows, MacOS and Linux. Easily run Large Language Models locally, no complex setups required. Inspired by OpenWebUI's simplicity for LLM use. (70 stars, MIT)
- [openwebui-langfuse](https://madewithwhat.net/ollama/project/openwebui-langfuse/): This repository provides resources and guidelines to facilitate the integration of Open-WebUI and Langfuse, enabling seamless monitoring and management of AI model usage statistics. (70 stars, MIT)
- [disp8ch](https://madewithwhat.net/ollama/project/disp8ch/): Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models (70 stars, MIT)
- [Companion](https://madewithwhat.net/ollama/project/companion/): An AI-powered Discord bot blending playful conversation with smart moderation tools, adding charm and order to your server. (70 stars, LGPL-2.1)
- [book-translator](https://madewithwhat.net/ollama/project/book-translator/): Translate books and big text files via Ollama LLMs using two-stage approach with initial translation, then AI self-reflection and refinement. (70 stars, MIT)
- [VindexLLM](https://madewithwhat.net/ollama/project/vindexllm/): VindexLLM is a pure Delphi, GPU-powered LLM inference engine that uses Vulkan compute shaders to run GGUF models entirely on the GPU. It performs full transformer inference without relying on Python, CUDA, or other external runtimes, requiring only vulkan-1.dll, which is typically included with modern GPU drivers. (69 stars)
- [spring-ai-showcase](https://madewithwhat.net/ollama/project/spring-ai-showcase/): Sample Spring AI Application with several use cases (69 stars, MIT)
- [mode](https://madewithwhat.net/ollama/project/mode/): Personal and autonomous AI coding agent. Writes and edits code automatically. No third-party servers, token limits, or upgrade fees. (69 stars, MIT)
- [ollama-in-termux](https://madewithwhat.net/ollama/project/ollama-in-termux/): Simple script to install ollama in termux (69 stars, MIT)
- [developers-guide-to-ai](https://madewithwhat.net/ollama/project/developers-guide-to-ai/): The Developer's Guide to AI - A Field Guide for the Working Developer (69 stars)
- [OllamaFX](https://madewithwhat.net/ollama/project/ollamafx/): OllamaFX is a native, lightweight, and professional JavaFX desktop client for Ollama. Run Llama 3, Mistral, and Phi-3 locally with maximum privacy, low RAM overhead, and a powerful interface designed for power users and developers. (69 stars, MIT)
- [agenite](https://madewithwhat.net/ollama/project/agenite/): Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama. (69 stars, MIT)
- [bellman](https://madewithwhat.net/ollama/project/bellman/): Golang lib for LLM APIs, ChatGPT, Gemini and Anthropic (69 stars, MIT)
- [mediascribe](https://madewithwhat.net/ollama/project/mediascribe/): CLI for audio, video, and text transcription with ASR providers and LLM-powered summarization via local or cloud backends. (68 stars, MIT)
- [mindmanager_ai](https://madewithwhat.net/ollama/project/mindmanager-ai/): MindManager AI Integration on Windows and macOS (68 stars, MIT)
- [OpenGPA](https://madewithwhat.net/ollama/project/opengpa/): Free and open General Purpose Agent (68 stars, MIT)
- [youtube_yapper_trapper](https://madewithwhat.net/ollama/project/youtube-yapper-trapper/): CrewAI agents that gather and analyze YouTube comments to generate insights to inform better content creation. (68 stars)
- [pdfusion](https://madewithwhat.net/ollama/project/pdfusion/): A privacy-first PDF processing engine that deconstructs documents into their core elements—text, images, and tables—and reconstructs them into pristine, structured Markdown. Self-hosted React + FastAPI stack with local AI vision models via LiteLLM/Ollama. Your data never leaves your machine. (68 stars)
- [llmtop](https://madewithwhat.net/ollama/project/llmtop/): A system monitoring tool powered by LLMs that provides real-time insights about your system's performance (67 stars, MIT)
- [web3-ai-trading-agent](https://madewithwhat.net/ollama/project/web3-ai-trading-agent/): Build an Autonomous Web3 AI Trading Agent (BASE + Uniswap V4 example) (67 stars, Apache-2.0)
- [ATLAS_OS](https://madewithwhat.net/ollama/project/atlas-os/): Hook-driven multi-agent CLI — one prompt to specs, code, tests, and a shipped release. (67 stars, MIT)
- [Panther](https://madewithwhat.net/ollama/project/panther/): A self-hosted AI agent daemon built in Rust. Runs on your machine, talks through Telegram, Discord, Slack, Email and Matrix. Fully local with Ollama or powered by any of 12 cloud providers. Execute commands, capture media, schedule tasks, browse the web, all from a chat message. (67 stars, MIT)
- [HydraTeams](https://madewithwhat.net/ollama/project/hydrateams/): Translation proxy that makes Claude Code Agent Teams model-agnostic. Any model as a teammate — GPT, Gemini, Ollama — with full Claude Code tooling. (67 stars, MIT)
- [rotato](https://madewithwhat.net/ollama/project/rotato/): A robust Node.js proxy server that automatically rotates API keys for Gemini and OpenAI APIs when rate limits (429 errors) are encountered. Built with zero dependencies and comprehensive logging. (67 stars, MIT)
- [heron](https://madewithwhat.net/ollama/project/heron/): Agent and LLM API performance monitoring via network packet probe. Measures performance of OpenClaw, Claude, Codex, DeepAgents and more — deployed on the provider side, no SDK changes required. (67 stars, Apache-2.0)
- [php-rag](https://madewithwhat.net/ollama/project/php-rag/): This application uses LLMs like DeepSeek, GPT-5, Claude, Gemini or Llama, Mixtral (locally) in order to generate text based on the user input. The user input is used to retrieve relevant information from the database and then the retrieved information is used to generate the text. This approach combines power of LLMs and access to source documen (67 stars, MIT)
- [LangGraph-and-Ollama](https://madewithwhat.net/ollama/project/langgraph-and-ollama/): Gen AI, Langchain v1 AI Agents, MCP, MySQL AI Agent, DeepSeek, GPT-OSS Qwen3 LLAMA Agent, Lang Graph, Ollama, KGPTalkie (66 stars)
- [Ask-Mirage-2.0](https://madewithwhat.net/ollama/project/ask-mirage-2-0/): ASK MIRAGE is an offline AI-powered chatbot that allows users to upload PDFs and ask natural language questions. Built with LLaMA, FAISS, and LangChain, it delivers fast, accurate, and context-aware responses without needing an internet connection. Ideal for students and professionals working with large documents. (66 stars)
- [ollami](https://madewithwhat.net/ollama/project/ollami/): Ollami is a frontend for Ollama, allowing user to quickly chat with their local model. (66 stars, MIT)
- [polyglot](https://madewithwhat.net/ollama/project/polyglot/): Polyglot is a fast, elegant, and free translation tool using AI. (66 stars, MIT)
- [ollamarama-matrix](https://madewithwhat.net/ollama/project/ollamarama-matrix/): Local AI chatbot for Matrix with infinite personalities, tool calling, and MCP — powered by Ollama (66 stars, Apache-2.0)
- [shinkai-node](https://madewithwhat.net/ollama/project/shinkai-node/): Shinkai allows you to create AI agents without touching code. Define tasks, schedule actions, and let Shinkai write custom code for you. Native crypto support included. (66 stars, Apache-2.0)
- [brainstorm-mcp](https://madewithwhat.net/ollama/project/brainstorm-mcp/): MCP server for multi-round AI brainstorming debates between multiple models (GPT, DeepSeek, Groq, Ollama, etc.) (66 stars, MIT)
- [keyscan](https://madewithwhat.net/ollama/project/keyscan/): Keyscan: AI-powered API key scanner for GitHub Gists. (65 stars, GPL-3.0)
- [fox-in-the-box](https://madewithwhat.net/ollama/project/fox-in-the-box/): Fox in the Box: One-click Hermes Install — self-hosted AI assistant platform (65 stars, MIT)
- [obsidian_ai_plugin](https://madewithwhat.net/ollama/project/obsidian-ai-plugin/): Lets to use local llms in your Obsidian Vaults, extend your stories or create entirely new texts based on your previous input (65 stars, Apache-2.0)
- [ollama-unity](https://madewithwhat.net/ollama/project/ollama-unity/): Ollama API bindings for Unity (65 stars, MIT)
- [simple-rag](https://madewithwhat.net/ollama/project/simple-rag/): Too many docs? Quickly search over any PDF or Markdown documents (65 stars)
- [home-mind](https://madewithwhat.net/ollama/project/home-mind/): OSS AI memory layer for Home Assistant (AGPL). The conversation server inside the Nives addon was forked from this project — they're independent now. (65 stars)
- [nlp-pnp-robotic-arm](https://madewithwhat.net/ollama/project/nlp-pnp-robotic-arm/): SPARC is an intelligent ROS2 Humble-based pick-and-place robotic system integrating MoveIt, YOLOv8-OBB, and Isaac Sim. It enables real-time object detection, motion planning for Franka Panda and UR5 arms, and natural language control via an Ollama-powered chatbot—making robotic manipulation smart, interactive, and human-friendly. (64 stars)
- [reko](https://madewithwhat.net/ollama/project/reko/): Make YouTube videos readable. Local-first Markdown summaries with Ollama, with cloud providers support. (64 stars, MIT)
- [dspy-compounding-engineering](https://madewithwhat.net/ollama/project/dspy-compounding-engineering/): A local-first AI engineering agent that learns from your codebase using DSPy. (64 stars)
- [ollama-api](https://madewithwhat.net/ollama/project/ollama-api/): Deploy a RESTful API Server to interact with Ollama and Stable Diffusion (63 stars, MIT)
- [writer](https://madewithwhat.net/ollama/project/writer/): A markdown editor powered by AI (Ollama) (63 stars, GPL-3.0)
- [OpenLLM-Studio](https://madewithwhat.net/ollama/project/openllm-studio/): Run local AI models privately with GPU acceleration. Modern UI, HuggingFace integration. Built with Tauri + React + Rust. (63 stars)
- [private-rag-example](https://madewithwhat.net/ollama/project/private-rag-example/): Private RAG app sample using Llama3, Ollama and PostgreSQL (63 stars)
- [hoof](https://madewithwhat.net/ollama/project/hoof/): "Just hoof it!" - A spotlight like interface to Ollama (63 stars, MIT)
- [Project-Shard](https://madewithwhat.net/ollama/project/project-shard/): Make AI Free Again - Shard is a GUI for Ollama LLM's. Powered by Next.js. (63 stars, MIT)
- [openclawnet](https://madewithwhat.net/ollama/project/openclawnet/): OpenClawNet — Build an AI Agent Platform in.NET 10 (Reactor live series materials) (63 stars, MIT)
- [embodied-agents](https://madewithwhat.net/ollama/project/embodied-agents/): EmbodiedAgents is a fully-loaded ROS2 based framework for creating interactive physical agents that can understand, remember, and act upon contextual information from their environment. (63 stars, MIT)
- [obsidian-agent](https://madewithwhat.net/ollama/project/obsidian-agent/): Empower your Obsidian vault with an AI agent from the provider of your choice. (63 stars, MIT)
- [Archive-Agent](https://madewithwhat.net/ollama/project/archive-agent/): Find your files with natural language and ask questions. (62 stars, GPL-3.0)
- [LangGraph-GUI-backend](https://madewithwhat.net/ollama/project/langgraph-gui-backend/): LangGraph-GUI backend with fastapi (62 stars, MIT)
- [SuperPowersWUI](https://madewithwhat.net/ollama/project/superpowerswui/): Open WebUI tool port of Superpowers by Jesse Vincent — brainstorm → spec → plan → execute agentic dev workflow for local LLMs (62 stars, MIT)
- [HanaVerse](https://madewithwhat.net/ollama/project/hanaverse/): HanaVerse is a interactive web UI for chatting with ollama with a lively 2D anime character Hana. Star it on GitHub! (61 stars)
- [Local-AI](https://madewithwhat.net/ollama/project/local-ai/): A curated guide to running Large Language Models (LLMs) on your own machine. Covers tools like Ollama, LM Studio, LocalAI, GPT4All, and more! (61 stars)
- [AutoATS](https://madewithwhat.net/ollama/project/autoats/): AI-powered, ATS-optimized resume builder that tailors resumes to job descriptions using local or cloud LLMs. (60 stars, MIT)
- [openchat](https://madewithwhat.net/ollama/project/openchat/): OpenChat's goal is to become the most feature rich AI user interface on the open source market. (60 stars)
- [lobe-chat](https://madewithwhat.net/ollama/project/lobe-chat/): Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS/Plugins/Artifacts). One-click FREE deployment of your private ChatGPT/ Claude application (60 stars)
- [code-stick](https://madewithwhat.net/ollama/project/code-stick/): Plug in a USB. Get an offline AI coding agent on any laptop - Windows, macOS, Linux. opencode + Ollama, pre-built for 5 targets, zero install on the host. (60 stars)
- [openprompt](https://madewithwhat.net/ollama/project/openprompt/): DuckDB Community Extension to prompt LLMs from SQL (60 stars, MIT)
- [ollero.nvim](https://madewithwhat.net/ollama/project/ollero-nvim/): Ollero is a nvim plugin for integrating Ollama with neovim locally (59 stars)
- [synthetic-LLM-QA-dataset-generator](https://madewithwhat.net/ollama/project/synthetic-llm-qa-dataset-generator/): Create synthetic datasets for training and testing Language Learning Models (LLMs) in a Question-Answering (QA) context. (59 stars)
- [CATAI](https://madewithwhat.net/ollama/project/catai/): Pixel art cats on your macOS dock — debate ideas with local AI (59 stars)
- [glanceables](https://madewithwhat.net/ollama/project/glanceables/): Glanceables is a handy macOS desktop app that turns parts of websites into easy-to-view widgets. This app makes it simpler to keep tabs on the important stuff from websites without having to dig around too much. Perfect for quickly checking things like travel times! (59 stars, GPL-3.0)
- [bike4mind](https://madewithwhat.net/ollama/project/bike4mind/): The open-core AI workbench — notebooks, agents, RAG, voice, and images across any model: OpenAI, Anthropic, Google, xAI, or local via Ollama/vLLM. BSL 1.1, auto-converting to Apache-2.0 on a two-year clock. Your AI keeps running when theirs doesn't. (59 stars)
- [localgcp](https://madewithwhat.net/ollama/project/localgcp/): LocalStack for GCP. One Go binary emulating 14 Google Cloud services locally: Vertex AI, BigQuery, Spanner, Firestore, Pub/Sub, Cloud Storage, Bigtable, Cloud SQL, Memorystore, Cloud Tasks, KMS, Secret Manager, Cloud Run, Cloud Logging. Zero cloud bills. (59 stars, MIT)
- [using-llama3-locally](https://madewithwhat.net/ollama/project/using-llama3-locally/): Running llama3 using Ollama-Python, Curl, LangChain, Chroma, and User interface. (59 stars, Apache-2.0)
- [aipdf](https://madewithwhat.net/ollama/project/aipdf/): A tool to OCR PDFs using gen-AI models (58 stars, MIT)
- [ollama-client](https://madewithwhat.net/ollama/project/ollama-client/): Ollama Client – Chat with Local LLMs Inside Your Browser A lightweight, privacy‑first Chrome extension to chat with local LLMs via Ollama, LM Studio, and llama.cpp. Supports streaming, stop/regenerate, RAG, and easy model switching — all without cloud APIs or data leaks. (58 stars, MIT)
- [go-embeddings](https://madewithwhat.net/ollama/project/go-embeddings/): Go module for fetching embeddings from embeddings providers (58 stars, Apache-2.0)
- [ollama-flake](https://madewithwhat.net/ollama/project/ollama-flake/): A nix flake for https://github.com/ollama/ollama (58 stars, CC0-1.0)
- [HASS-AI-Orchestrator](https://madewithwhat.net/ollama/project/hass-ai-orchestrator/): An autonomous multi-agent orchestration system for Home Assistant. Features local LLM control (Ollama/DeepSeek), & RAG-powered technical knowledge, (57 stars)
- [Heliox-OS](https://madewithwhat.net/ollama/project/heliox-os/): An open-source, privacy-first AI System Control Agent (JARVIS-like) using voice and hand gestures (57 stars, MIT)
- [AnyChat](https://madewithwhat.net/ollama/project/anychat/): Chat with your Documents(PDF, TXT, DOCX, ODT, PPTX etc), Websites and Youtube Chat too!, CSV files. Uses langchain, Ollama, Groq, Gemini, Streamlit. Llama3 available (57 stars, MIT)
- [RAG-Enterprise](https://madewithwhat.net/ollama/project/rag-enterprise/): 100% local RAG system with one-command setup. Your data never leaves your server. AGPL-3.0 (57 stars)
- [Novel-Assistant](https://madewithwhat.net/ollama/project/novel-assistant/): LLM · RAG (57 stars)
- [LogSentinelAI](https://madewithwhat.net/ollama/project/logsentinelai/): LLM-powered security log analyzer: detect threats & anomalies with zero regex — just declare a Pydantic schema. Real-time Telegram alerts, SIEM-ready with Elasticsearch/Kibana. Supports OpenAI, Ollama, vLLM. (57 stars, MIT)
- [papa-ts](https://madewithwhat.net/ollama/project/papa-ts/): This library exposes PAPA, your Personal Assistant powered by Private AI, which can be used in any browser environment and completely offline (57 stars, AGPL-3.0)
- [synthgenai](https://madewithwhat.net/ollama/project/synthgenai/): SynthGenAI - Package for Generating Synthetic Datasets using LLMs. (56 stars, MIT)
- [gattino](https://madewithwhat.net/ollama/project/gattino/): A kitty terminal extension that turns plain language into commands using Ollama. (56 stars, MIT)
- [coreOllama](https://madewithwhat.net/ollama/project/coreollama/): Locally own and run your LLM - easy, simple, lightweight (56 stars, MIT)
- [omnichat](https://madewithwhat.net/ollama/project/omnichat/): 3rd place T3 Cloneathon Champion (56 stars, MIT)
- [PocketLLM](https://madewithwhat.net/ollama/project/pocketllm/): A powerful Flutter-based AI chat application that lets you run LLMs directly on your mobile device or connect to local model servers. Features offline model execution, Ollama/LLMStudio integration, and a beautiful modern UI. Privacy-focused, cross-platform, and fully open source. (56 stars)
- [fuku](https://madewithwhat.net/ollama/project/fuku/): AI Assistant for Godot (56 stars, MIT)
- [GEPA-Lite](https://madewithwhat.net/ollama/project/gepa-lite/): A lightweight implementation of the GEPA (Genetic-Pareto) prompt optimization method for large language models. (56 stars, MIT)
- [autopentest](https://madewithwhat.net/ollama/project/autopentest/): CLI enabling more autonomous black-box penetration tests using Large Language Models (LLMs) (56 stars)
- [UniClaudeProxy](https://madewithwhat.net/ollama/project/uniclaudeproxy/): Use any LLM with Claude Code — proxy that translates Anthropic API to OpenAI, Gemini, DeepSeek, Ollama, and more. Full tool calling, streaming, ReAct XML fallback, hot-reload config. (56 stars, MIT)
- [localaipilot-api](https://madewithwhat.net/ollama/project/localaipilot-api/): API container for Local AI Pilot extension (56 stars, MIT)
- [abso](https://madewithwhat.net/ollama/project/abso/): TypeScript SDK to call 100+ LLM Providers in OpenAI format. (56 stars, MIT)
- [obsidian-vision-recall](https://madewithwhat.net/ollama/project/obsidian-vision-recall/): Transform screenshots into searchable Obsidian notes using AI vision and text analysis (55 stars, AGPL-3.0)
- [my-chat-web](https://madewithwhat.net/ollama/project/my-chat-web/): ai chat，Cloudflare AI，Nextjs，Cloudflare pages A simple AI chat site that serviced by Cloudflare AI and deployed by Nextjs+ Cloudflare Pages (55 stars, MIT)
- [libre-webui](https://madewithwhat.net/ollama/project/libre-webui/): Privacy-first web interface for local AI models. Clean, minimal UI for Ollama with extensible plugin system. No data leaves your device. (55 stars, Apache-2.0)
- [VideoHighlighter](https://madewithwhat.net/ollama/project/videohighlighter/): Open-source local AI video analyzer powered by Ollama. Visual search, automatic highlights, scene/action/object detection, audio analysis, and subtitle generation. Free, offline alternative to Twelve Labs, Runway, and Descript. (55 stars, AGPL-3.0)
- [cadis](https://madewithwhat.net/ollama/project/cadis/): Rust-first, local-first multi-agent runtime with a desktop HUD, policy-gated tools, voice, and worktree-isolated coding agents. (55 stars)
- [StoryMoss](https://madewithwhat.net/ollama/project/storymoss/): StoryMoss — AI。Tauri+Rust，、、StyleDNA、、7。AI，。 (54 stars)
- [llm-bash](https://madewithwhat.net/ollama/project/llm-bash/): LLM-Bash - A Bash Wrapper around llm and Ollama for your code editor. (54 stars, Apache-2.0)
- [RagUltimateAdvisor](https://madewithwhat.net/ollama/project/ragultimateadvisor/): A complete Retrieval-Augmented Generation (RAG) application that demonstrates modern AI capabilities for answering questions about Ultimate Frisbee rules and strategies. This project showcases how to build a production-ready RAG system using cutting-edge technologies. (54 stars)
- [iva](https://madewithwhat.net/ollama/project/iva/): AI assistant in Telegram that remembers everything and helps you run your life. Self-hosted in one command. (53 stars, MIT)
- [KestrelAI](https://madewithwhat.net/ollama/project/kestrelai/): Long-term Research Assistants with Self-Scheduling (53 stars, MIT)
- [jupyter-studio](https://madewithwhat.net/ollama/project/jupyter-studio/): The AI-native JupyterLab — open-source Cursor for notebooks. Cmd+K inline edit, multi-step agent with cell-level tools (read/edit/run), chat with @cell/@file context, ghost-text completion, one-click traceback fix. BYO model: Anthropic, OpenAI, Gemini, Ollama, vLLM. Local-first, privacy-first, fully open source. (53 stars, Apache-2.0)
- [benchllama](https://madewithwhat.net/ollama/project/benchllama/): Benchmark your local LLMs. (53 stars, MIT)
- [llm-router](https://madewithwhat.net/ollama/project/llm-router/): Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain keeps costs 70–85% lower. (53 stars, MIT)
- [obsidian-vault-intelligence](https://madewithwhat.net/ollama/project/obsidian-vault-intelligence/): Obsidian vault intelligence (53 stars, MIT)
- [easy-llms](https://madewithwhat.net/ollama/project/easy-llms/): Easy "1-line" calling of all LLMs from OpenAI, MS Azure, AWS Bedrock, GCP Vertex, and Ollama (53 stars, MIT)
- [Codeblaze.SemanticKernel](https://madewithwhat.net/ollama/project/codeblaze-semantickernel/): Some Cool Semantic Kernel Plugins (53 stars, MIT)
- [doc2image](https://madewithwhat.net/ollama/project/doc2image/): Turn any document into ready-to-use AI image prompts. (53 stars, MIT)
- [clawos](https://madewithwhat.net/ollama/project/clawos/): Local AI agent for your laptop. Voice activation, multi-step tool use, 7-layer memory, human-in-the-loop approvals. Zero cloud. Zero API keys. Zero telemetry. (52 stars, AGPL-3.0)
- [langchain-chromadb-rag-example](https://madewithwhat.net/ollama/project/langchain-chromadb-rag-example/): My attempt at implementing retreival augmented generation on Ollama and other LLM services using chromadb and langchain while also providing an easy to understand, clean code for others since nobody else does (52 stars)
- [AI-Lawyer-RAG-with-Deepseek](https://madewithwhat.net/ollama/project/ai-lawyer-rag-with-deepseek/): AI Lawyer is an intelligent reasoning legal assistant powered by DeepSeek, Ollama RAG and LangChain, designed to streamline legal research and document analysis. By leveraging retrieval-augmented generation (RAG), it provides precise legal insights, and contract summarization. With an intuitive Streamlit-based UI, analyze legal documents. (52 stars, MIT)
- [auto-ollama](https://madewithwhat.net/ollama/project/auto-ollama/): run ollama & gguf easily with a single command (52 stars, Apache-2.0)
- [lingmengcan](https://madewithwhat.net/ollama/project/lingmengcan/): AIGC Application Platform: Lingmengcan AI, large language model, aigc, stable diffusion, langchainjs, nestjs, vue3, naive ui, DeepSeek, chromadb (52 stars, MIT)
- [open-chat-playground](https://madewithwhat.net/ollama/project/open-chat-playground/): Open Chat Playground (OCP) is a web UI that is able to connect virtually any LLM from any platform. (52 stars, MIT)
- [openscenesense-ollama](https://madewithwhat.net/ollama/project/openscenesense-ollama/): OpenSceneSense Ollama is a Python library that harnesses AI for advanced local video analysis, offering customizable frame and audio insights for dynamic applications in media, education, and content moderation. (52 stars, MIT)
- [ai-review-pipeline](https://madewithwhat.net/ollama/project/ai-review-pipeline/): AI code review pipeline — review, auto-fix, test generation & HTML report in one command. Zero dependencies, 6 AI providers (OpenAI/DeepSeek/Claude/Gemini/Qwen/Ollama), npx ready. (52 stars, MIT)
- [commit-sage-cli](https://madewithwhat.net/ollama/project/commit-sage-cli/): Generates Conventional Commit messages with AI. Supports OpenAI, Ollama, and Gemini. (51 stars, GPL-3.0)
- [Health_server](https://madewithwhat.net/ollama/project/health-server/): The new DARNA. HI Version2.5. Aspires to be your self hosted Personal Health concierge on Linux. pwd 'health' (51 stars, GPL-3.0)
- [ollama-webui-docker](https://madewithwhat.net/ollama/project/ollama-webui-docker/): Ollama Docker Compose Setup with WebUI and Remote Access via Cloudflare (51 stars)
- [word-to-markdown](https://madewithwhat.net/ollama/project/word-to-markdown/): Convert Word docs to Markdown privately - 100% offline, no uploads. Perfect for processing sensitive documents with Ollama, LM Studio, GPT4All & other local AI tools. Just double-click the standalone/word-to-markdown.html file to use. (51 stars, MIT)
- [zsh-ollama-command](https://madewithwhat.net/ollama/project/zsh-ollama-command/): An oh-my-zsh plugin that integrates the OLLAMA AI model to provide command suggestions (51 stars, GPL-3.0)
- [AI-Studio](https://madewithwhat.net/ollama/project/ai-studio/): AI Studio helps you with the power of AI in many subjects such as adding unit tests, refactoring code, adding summary, etc. while writing code, just by right click on the code. (51 stars, MIT)
- [RAG_local_tutorial](https://madewithwhat.net/ollama/project/rag-local-tutorial/): Simple RAG tutorials that can be run locally or using Google Colab (only Pro version). (51 stars)
- [surf](https://madewithwhat.net/ollama/project/surf/): Self-hosted chat client for Ollama, OpenAI, and Anthropic. Web UI and terminal CLI, with web search and a browser-automation agent. (51 stars, MIT)
- [srclight](https://madewithwhat.net/ollama/project/srclight/): Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies. (51 stars, MIT)
- [xinity-ai](https://madewithwhat.net/ollama/project/xinity-ai/): The open-source AI platform for enterprises that can't send data to the cloud. OpenAI-compatible API, full management dashboard, zero data egress. (50 stars, Apache-2.0)
- [evano-studio](https://madewithwhat.net/ollama/project/evano-studio/): Evano Studio is an open-source local AI desktop app for agents, automation, knowledge, and productivity. (50 stars, AGPL-3.0)
- [local-llm-npc](https://madewithwhat.net/ollama/project/local-llm-npc/): An interactive educational game built for the Google Gemma 3n Impact Challenge. (50 stars, CC-BY-4.0)
- [ollama-webui-intel](https://madewithwhat.net/ollama/project/ollama-webui-intel/): Ollama with intel (i)GPU acceleration in docker and benchmark (50 stars)
- [verity](https://madewithwhat.net/ollama/project/verity/): Perplexity style AI answer engine for AI PCs with CPU,GPU and NPU support (50 stars)
- [llm-templates](https://madewithwhat.net/ollama/project/llm-templates/): My LLM Templates (Ollama Modelfiles & Tabby Templates + Presets) (50 stars)
- [groq-gmail-assistant](https://madewithwhat.net/ollama/project/groq-gmail-assistant/): Advanced AI email assistant using Groq for responsive replies, Llama for contextual information retrieval, and RAG with LangChain for enhanced accuracy. (50 stars)
- [servllama](https://madewithwhat.net/ollama/project/servllama/): 1-Click LLM Server on Your Phone — no Termux needed! Termux，LLM！ (50 stars, AGPL-3.0)
- [doza-assist](https://madewithwhat.net/ollama/project/doza-assist/): AI editor's assistant that learns your style from your own cuts. Turn interview footage into rough cuts for Final Cut, Premiere, and Resolve. Mac-native. Local-first. (50 stars, MIT)
- [Autotube](https://madewithwhat.net/ollama/project/autotube/): Automated YouTube Shorts creation using n8n, AI script generation, and video processing. Full pipeline from topic to published video with AI images, TTS, transitions, and effects. Docker-based, self-hosted, and free to use. (50 stars, MIT)
- [Phantom-AI-Interview](https://madewithwhat.net/ollama/project/phantom-ai-interview/): Phantom-AI-Interview – A fun experiment exploring how AI can silently assist in virtual interviews, coding challenges, and exams. Uses OCR, LLMs, and automation to extract text, generate responses, and operate without a visible UI. (50 stars)
- [offgrid-tools](https://madewithwhat.net/ollama/project/offgrid-tools/): Self-contained offline environment providing local AI chat, offline Wikipedia/content archives, IRC communication, audio streaming, file server, and development tools. Designed for zero internet dependency - download once, run anywhere. Perfect for remote areas, emergency scenarios, or escaping surveillance capitalism. (49 stars, WTFPL)
- [langchain-mcp-client](https://madewithwhat.net/ollama/project/langchain-mcp-client/): This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google, Ollama). (49 stars, MIT)
- [inflearn-langgraph-agent](https://madewithwhat.net/ollama/project/inflearn-langgraph-agent/): "LangGraph AI Agent " (49 stars, MIT)
- [Ollama-in-GitHub-Codespaces](https://madewithwhat.net/ollama/project/ollama-in-github-codespaces/): Learn all how to run Ollama in GitHub Codespaces for free (49 stars)
- [UnityNeuroSpeech](https://madewithwhat.net/ollama/project/unityneurospeech/): The world’s first game framework that lets you talk to AI in real time — locally. Supports any custom voice. (49 stars, MIT)
- [omt](https://madewithwhat.net/ollama/project/omt/): Ollama Model Test - Figure out the best model for the task (49 stars, MIT)
- [Simple-Ollama-Chatbot](https://madewithwhat.net/ollama/project/simple-ollama-chatbot/): Simple html ollama chatbot that is easy to install. Simply copy the html file on your computer and run it. (49 stars, Unlicense)
- [ora](https://madewithwhat.net/ollama/project/ora/): Real-time on-device speech translation for macOS. Silero VAD + Qwen3-ASR-1.7B + Qwen3.5 (MLX) on Apple Silicon. No cloud, no API keys, no telemetry. (49 stars, MIT)
- [langchain-zhipuai](https://madewithwhat.net/ollama/project/langchain-zhipuai/): Langchain，GLM-4 AllTools (49 stars, MIT)
- [Langchain-RAG-DevelopmentKit](https://madewithwhat.net/ollama/project/langchain-rag-developmentkit/): Langchain Models for RAGs and Agents (49 stars)
- [SubtitleAI](https://madewithwhat.net/ollama/project/subtitleai/): An AI-powered tool for summarizing YouTube videos by generating scene descriptions, translating them, and creating subtitled videos with text-to-speech narration (49 stars, MIT)
- [llm-wiki](https://madewithwhat.net/ollama/project/llm-wiki/): Local LLM-maintained personal wiki, built on Karpathy's LLM-Wiki pattern. Runs on Ollama + Qwen3 + QMD. (48 stars, MIT)
- [designpull](https://madewithwhat.net/ollama/project/designpull/): Generate Google Stitch compatible DESIGN.md files from any website using AI vision. Bring your own Gemini, OpenAI, Claude, or Ollama key. No backend, no cost. (48 stars, MIT)
- [full_stack_fastapi_react_template](https://madewithwhat.net/ollama/project/full-stack-fastapi-react-template/): About Full stack, modern multi-tenancy web template. Using FastAPI, React, MongoDB, Beanie ODM, Docker, Helm and more. (48 stars, MIT)
- [Ollama-Workbench](https://madewithwhat.net/ollama/project/ollama-workbench/): A comprehensive platform for managing, testing, and leveraging Ollama AI models with advanced features for customization, workflow automation, and collaborative development. (48 stars, MIT)
- [rag-conversational-agent](https://madewithwhat.net/ollama/project/rag-conversational-agent/): A simple local Retrieval-Augmented Generation (RAG) chatbot that can answer to questions by acquiring information from personal PDF documents. (48 stars)
- [ollama-rename-files](https://madewithwhat.net/ollama/project/ollama-rename-files/): Effortlessly rename files using local AI - No tokens, No API. Based on Ollama. (47 stars)
- [llm-ollama-llamaindex-bootstrap](https://madewithwhat.net/ollama/project/llm-ollama-llamaindex-bootstrap/): Designed for offline use, this RAG application template offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI. (47 stars, Apache-2.0)
- [bropilot.nvim](https://madewithwhat.net/ollama/project/bropilot-nvim/): Neovim code suggestion and completion (just like GitHub Copilot, but locally using Ollama) (47 stars, MIT)
- [carapace](https://madewithwhat.net/ollama/project/carapace/): A secure, stable Rust alternative to openclaw/moltbot/clawdbot (47 stars, Apache-2.0)
- [ngx-renamer](https://madewithwhat.net/ollama/project/ngx-renamer/): AI-powered post-consume script for Paperless NGX that generates high-quality, language-aware document titles using OpenAI, Claude or local Ollama models. (47 stars, GPL-3.0)
- [Meta-Agent-with-More-Agents](https://madewithwhat.net/ollama/project/meta-agent-with-more-agents/): The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility. (47 stars)
- [Whisperer-on-Wirst](https://madewithwhat.net/ollama/project/whisperer-on-wirst/): Your private AI companion that lives on your wrist. Complete local AI assistant with emotional intelligence. (47 stars, MIT)
- [freellm](https://madewithwhat.net/ollama/project/freellm/): OpenAI-compatible gateway aggregating 8 free LLM providers with automatic failover, circuit breakers, and smart routing. 32+ models, zero cost. (47 stars, MIT)
- [ollama-doc](https://madewithwhat.net/ollama/project/ollama-doc/): Ollama (47 stars)
- [email-classifier](https://madewithwhat.net/ollama/project/email-classifier/): Email Classification and Automatic Re-routing with the power of LLMs and Distributed Task Queues. Winner at Barclays Hack-O-Hire 2024! (47 stars, MIT)
- [llm-voice-bot](https://madewithwhat.net/ollama/project/llm-voice-bot/): Speak (speech-to-text) to LLMs (Ollama) in any lanaguage - Streamlit app https://deepwiki.com/iamaziz/llm-voice-bot (47 stars, MIT)
- [rag-code-mcp](https://madewithwhat.net/ollama/project/rag-code-mcp/): Privacy-first semantic code navigation MCP server using RAG. Features deep AST multi-language support (Go, PHP/Laravel/WP, JS/TS/React, Python), 100% local LLMs (Ollama), and vector search (Qdrant) for AI IDEs like Cursor, Windsurf, Copilot, and Claude. (47 stars, MIT)
- [use-ollama-to-enhance-claude](https://madewithwhat.net/ollama/project/use-ollama-to-enhance-claude/): Pair Claude Desktop on Anthropic with Claude Code routed through Ollama. Visual walkthrough + copy-paste prompt that cuts your Claude Code bill ~90%. (47 stars, MIT)
- [ask](https://madewithwhat.net/ollama/project/ask/): ask is an AI-powered CLI tool for developers who live in the terminal. It brings multi-provider LLM support, agent capabilities, and shell-native intelligence to your fingertips. (47 stars, MIT)
- [python-gpt-po](https://madewithwhat.net/ollama/project/python-gpt-po/): AI-powered translator for gettext.po files using OpenAI, Azure OpenAI, Claude, DeepSeek and Ollama, supports bulk, fuzzy cleanup, and language auto-detection. (46 stars, MIT)
- [RAG-LangChain-AI-System](https://madewithwhat.net/ollama/project/rag-langchain-ai-system/): A production-grade, agentic RAG platform for portfolio intelligence, combining LangChain, Chroma/FAISS, Hugging Face embeddings, and Ollama with dynamic entity extraction, backend API tool-chaining, and a real-time interactive assistant across deploy-ready frontend, backend, and infrastructure stacks. (46 stars, MIT)
- [rag-ollama](https://madewithwhat.net/ollama/project/rag-ollama/): A Retrieval Augmented Generation (RAG) system using LangChain, Ollama, Chroma DB and Gemma 7B model. (46 stars, MIT)
- [ollama-on-k8s](https://madewithwhat.net/ollama/project/ollama-on-k8s/): Run Ollama on Kubernetes (46 stars)
- [langchaingo-ollama-rag](https://madewithwhat.net/ollama/project/langchaingo-ollama-rag/): langchaingoollamarag (46 stars, Apache-2.0)
- [Ollama-in-Google-Colab](https://madewithwhat.net/ollama/project/ollama-in-google-colab/): This repository provides a guide on how to use Ollama in Google Colab. (46 stars, MIT)
- [Agentic_AI_using_LangGraph](https://madewithwhat.net/ollama/project/agentic-ai-using-langgraph/): Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems. (46 stars, MIT)
- [zeph](https://madewithwhat.net/ollama/project/zeph/): A memory-first AI agent that remembers why decisions were made — not just the last message. Runs local (Ollama), cloud (Claude · OpenAI · Gemini), or decentralized TEE. Graph memory, self-learning skills, multi-model routing, sandboxed tools. MCP · ACP · A2A. One Rust binary. (46 stars, MIT)
- [dart-ollama](https://madewithwhat.net/ollama/project/dart-ollama/): Use Ollama's LLMs directly from Dart (45 stars, GPL-2.0)
- [lotei-qflipper](https://madewithwhat.net/ollama/project/lotei-qflipper/): A pink qFlipper fork with LOTEI — a 100% local AI dolphin (Ollama) that chats, talks, watches your Flipper's screen, and one-click-installs custom firmware. (45 stars, GPL-3.0)
- [langchain-graphrag-baml](https://madewithwhat.net/ollama/project/langchain-graphrag-baml/): Improving langchain knowledge graphs using baml (45 stars)
- [felix](https://madewithwhat.net/ollama/project/felix/): Felix — single-binary AI agent gateway. Multi-provider LLM, persistent memory, MCP client, runs entirely on your hardware (45 stars)
- [llmgo-book](https://madewithwhat.net/ollama/project/llmgo-book/): It's actively developed around book, go, golang, and is a solid reference for anyone building with these tools. (45 stars)
- [ollamazure](https://madewithwhat.net/ollama/project/ollamazure/): Emulates Azure OpenAI API on your local machine using Ollama and open-source models. (45 stars, MIT)
- [hass-agent-llm](https://madewithwhat.net/ollama/project/hass-agent-llm/): Home Assistant custom component extending the conversation platform with OpenAI-compatible LLM integration, ChromaDB vector search, automatic memory extraction, and extensible tool system. (44 stars, MIT)
- [arkiv](https://madewithwhat.net/ollama/project/arkiv/): Local-first media asset manager with AI semantic search — reads pro-camera metadata (Sony XAVC sidecar, FX-series) and 360 footage (Insta360/GoPro Max) that consumer DAMs drop. FFmpeg + ChromaDB + local LLM. (44 stars, MIT)
- [micronaut-optimizer](https://madewithwhat.net/ollama/project/micronaut-optimizer/): A project worth exploring. (44 stars)
- [nirmato-ollama](https://madewithwhat.net/ollama/project/nirmato-ollama/): Ollama client for Kotlin Multiplatform (44 stars, Apache-2.0)
- [OllamaChat](https://madewithwhat.net/ollama/project/ollamachat/): Ollama Chat is a GUI for Ollama designed for macOS. (44 stars, MIT)
- [keel](https://madewithwhat.net/ollama/project/keel/): An AI assistant whose memory belongs to you. Local-first Mac app, plain markdown workspace, bring your own model. (44 stars, MIT)
- [piz](https://madewithwhat.net/ollama/project/piz/): — Shell ， OpenAI/Claude/Gemini/Ollama (43 stars, MIT)
- [LLaMa-MCP-Streamlit](https://madewithwhat.net/ollama/project/llama-mcp-streamlit/): AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP). (43 stars)
- [mcp-launcher](https://madewithwhat.net/ollama/project/mcp-launcher/): Easy to use MCP builder & launcher for all possible MCP servers, just like Ollama for models! (43 stars)
- [collama](https://madewithwhat.net/ollama/project/collama/): Run Ollama LLM models in Google Colab for free (43 stars)
- [deepseek-r1-local-docker](https://madewithwhat.net/ollama/project/deepseek-r1-local-docker/): Run DeepSeek R1 models locally using Docker. Interact with the model through a browser-based UI or CLI using Ollama. (43 stars)
- [ChatCrystal](https://madewithwhat.net/ollama/project/chatcrystal/): Local-first AI PKM for coding conversations: import Claude Code/Cursor/Codex, distill notes, semantic search, tag graph, MCP memory. (43 stars, Apache-2.0)
- [git-courer](https://madewithwhat.net/ollama/project/git-courer/): MCP server for Git with local Ollama — zero tokens for git operations (43 stars, MIT)
- [translategemma-ui](https://madewithwhat.net/ollama/project/translategemma-ui/): Web interface for TranslateGemma, Google's open translation model (43 stars, MIT)
- [maestro](https://madewithwhat.net/ollama/project/maestro/): Open-source Fugu: the open-source LLM orchestration brain. (43 stars, MIT)
- [ollama-webui](https://madewithwhat.net/ollama/project/ollama-webui/): A modern web interface for [Ollama](https://ollama.com/) — chat with your local models, privately. Clean design, essential chat features, and no data leaving your machine. (43 stars, MIT)
- [arpk](https://madewithwhat.net/ollama/project/arpk/): LLM as your translator, with DeepLX-compatible API. (42 stars, MIT)
- [osh](https://madewithwhat.net/ollama/project/osh/): Ollama Shell Helper (osh): English to Unix-like Shell Commands translation using Local LLMs with Ollama (42 stars, MIT)
- [CodeFox-CLI](https://madewithwhat.net/ollama/project/codefox-cli/): A CLI-first AI code review tool for git diffs and CI workflows. Analyze changes with relevant codebase context using local Ollama models or cloud LLMs. (42 stars, MIT)
- [Sen-Chat](https://madewithwhat.net/ollama/project/sen-chat/): Sen Chat is a browser extension that streamlines your online experience by integrating AI chat, advanced web search, document interaction, and more into a convenient sidebar. (42 stars, GPL-3.0)
- [docspedia](https://madewithwhat.net/ollama/project/docspedia/): Chat with your pdf using your local LLM, OLLAMA client. (42 stars, MIT)
- [smart-form-filler](https://madewithwhat.net/ollama/project/smart-form-filler/): AI-powered form filling and data extraction browser extension (42 stars, ISC)
- [beacon-plugin](https://madewithwhat.net/ollama/project/beacon-plugin/): Semantic code search plugin for Claude Code using hybrid vector search + BM25. 98% accuracy, 5x faster than grep. (42 stars, MIT)
- [llmff](https://madewithwhat.net/ollama/project/llmff/): Bounded, inspectable LLM inference pipelines from declared YAML — runs offline against Ollama or any OpenAI-compatible local server, emitting JSONL traces, inspect reports, and stable exit codes. (42 stars)
- [dispatch](https://madewithwhat.net/ollama/project/dispatch/): Understand how CLI AI agents work and use your own local CLI AI! Easy to understand, written in python, built on Ollama/OpenAI compatible APIs. (42 stars, MIT)
- [ollama_rag](https://madewithwhat.net/ollama/project/ollama-rag/): fully local RAG system using ollama and faiss (42 stars)
- [OpenLLM-Monitor](https://madewithwhat.net/ollama/project/openllm-monitor/): OpenLLM Monitor is a plug-and-play, real-time observability dashboard for monitoring and debugging LLM API calls across OpenAI, Ollama, OpenRouter, and more. Tracks tokens, latency, cost, retries, and lets you replay prompts — fully open-source and self-hostable. (42 stars, MIT)
- [agent-fleet-o](https://madewithwhat.net/ollama/project/agent-fleet-o/): Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems. Visual DAG workflows, 450+ MCP tools, human-in-the-loop approvals. Works with Claude, GPT-4o, Gemini, Ollama, Codex. (42 stars, AGPL-3.0)
- [LangChain-Tutorials](https://madewithwhat.net/ollama/project/langchain-tutorials/): Practical step-by-step LangChain guides (41 stars)
- [ollama-machine](https://madewithwhat.net/ollama/project/ollama-machine/): Think docker-machine but for GPU cloud instances running Ollama, with a focus on safe cloud credentials storage and security. (41 stars, Apache-2.0)
- [asteria-agent](https://madewithwhat.net/ollama/project/asteria-agent/): Local-first AI research assistant: plans sub-queries, searches the web, and writes fully cited reports. LangChain + LangGraph multi-agent + FastAPI + Next.js, with email-OTP auth and per-user Postgres storage. (41 stars, Apache-2.0)
- [ms-springboot-ai](https://madewithwhat.net/ollama/project/ms-springboot-ai/): Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math (41 stars, Apache-2.0)
- [graflow](https://madewithwhat.net/ollama/project/graflow/): Composable Python framework for LLM agent workflows focused on simplicity and developer experience. We OSS. (41 stars, Apache-2.0)
- [AgentFlipper](https://madewithwhat.net/ollama/project/agentflipper/): An AI agent that controls your Flipper Zero that uses PyFlipper, LightLLM, RAG, and can connect to your local Ollama instance! (41 stars)
- [unit-text](https://madewithwhat.net/ollama/project/unit-text/): Unit tests for plain text - LLM as a copy editor (41 stars, AGPL-3.0)
- [aiagentflow](https://madewithwhat.net/ollama/project/aiagentflow/): A local-first, CLI-driven multi-agent AI software engineering workflow orchestrator with feed specs, PRDs, and guidelines to auto-generate implementation plans and code. (41 stars, MIT)
- [openclaw-news](https://madewithwhat.net/ollama/project/openclaw-news/): OpenClaw Daily News (with Ollama + Telegram Quick Setup Guide) | (41 stars)
- [OSA](https://madewithwhat.net/ollama/project/osa/): OSA: the Optimal System Agent. One AI that maximizes signal, eliminates noise, and finds the optimal path — across code, work, and life. Elixir/OTP. Runs locally. Open-source OpenClaw alternative. (40 stars)
- [Scryptian](https://madewithwhat.net/ollama/project/scryptian/): Scryptian - inline text editing via Ctrl + Alt (40 stars, MIT)
- [utsuwa](https://madewithwhat.net/ollama/project/utsuwa/): Utsuwa is an open-source alternative to Grok Companion. This is a platform where you can have a virtual AI waifu that learns and grows with you, bundled with optional mechanics inspired by Japanese dating sim games. (40 stars, MIT)
- [Cortex](https://madewithwhat.net/ollama/project/cortex/): Cortex is a fast, private desktop AI assistant for running local Large Language Models with Ollama. Everything stays on your device: no cloud, no external servers, and no third parties. (40 stars, MIT)
- [explain-error-plugin](https://madewithwhat.net/ollama/project/explain-error-plugin/): Explain Jenkins job failures with AI (40 stars, MIT)
- [ableton-mcp](https://madewithwhat.net/ollama/project/ableton-mcp/): Control Ableton Live with AI - 200+ tools via MCP, REST API, and Max for Live. Works with Claude, Ollama, OpenAI, Groq. (40 stars, MIT)
- [llm-multitool](https://madewithwhat.net/ollama/project/llm-multitool/): Web UI for working with large language models (40 stars, MIT)
- [saiku](https://madewithwhat.net/ollama/project/saiku/): AI Agent capable of automating various tasks using MCP (40 stars, MIT)
- [dataforge](https://madewithwhat.net/ollama/project/dataforge/): Free open-source business data enrichment engine. The open-source alternative to Apollo, ZoomInfo, and Clearbit. (40 stars, MIT)
- [olol](https://madewithwhat.net/ollama/project/olol/): # Ollama<=>Ollama Inference Cluster (39 stars, MIT)
- [bench-loop](https://madewithwhat.net/ollama/project/bench-loop/): Local-first CLI for benchmarking LLMs on real hardware — quality, speed, reliability, and a real multi-turn agent loop. (39 stars, MIT)
- [Brainarr](https://madewithwhat.net/ollama/project/brainarr/): Local AI Music Discovery for Lidarr - Brainarr is a privacy-focused AI-powered import list plugin for Lidarr that generates intelligent music recommendations using local AI models. It exclusively supports local providers (Ollama, LM Studio) to ensure your music preferences never leave your network. (39 stars, MIT)
- [eve-agent-v2-unleashed](https://madewithwhat.net/ollama/project/eve-agent-v2-unleashed/): Eve Agent V2 Unleashed — local-first autonomous AI coding agent powered by Ollama (39 stars, MIT)
- [kodeagent](https://madewithwhat.net/ollama/project/kodeagent/): The minimal AI agent engine (39 stars, Apache-2.0)
- [txtask](https://madewithwhat.net/ollama/project/txtask/): Ask Ollama about your local text files (39 stars, BSD-3-Clause)
- [buildcored-orcas](https://madewithwhat.net/ollama/project/buildcored-orcas/): A 30-day build challenge for people who can execute under pressure. You will build one real project every day across software, AI, systems, and applied engineering. Miss one day, and you are out. This is not a course. This is not passive learning. (39 stars)
- [MeadowPy](https://madewithwhat.net/ollama/project/meadowpy/): Beginner-friendly Python IDE with local AI features, teaching tools, plain-English error help, and step-through debugging. (39 stars, MIT)
- [AI-Speaks](https://madewithwhat.net/ollama/project/ai-speaks/): Automated AI Thought engine running in Github Actions to generate a random thought. Listen at https://ai.aww.sm (39 stars, MIT)
- [ollama-zig](https://madewithwhat.net/ollama/project/ollama-zig/): Ollama Zig library (39 stars, MIT)
- [LangChain-RAG-Linux](https://madewithwhat.net/ollama/project/langchain-rag-linux/): Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B (39 stars)
- [rust-llm-rag](https://madewithwhat.net/ollama/project/rust-llm-rag/): To implement LLM as a services. (39 stars)
- [yoauditor](https://madewithwhat.net/ollama/project/yoauditor/): LLM-powered code auditor for GitHub repos. (39 stars, MIT)
- [llm-tools-mcp](https://madewithwhat.net/ollama/project/llm-tools-mcp/): Connect to MCP servers right from your shell. Plugin for simonw/llm. (38 stars, Apache-2.0)
- [blind_navigation](https://madewithwhat.net/ollama/project/blind-navigation/): An AI-powered solution designed to enhance mobility for visually impaired individuals by combining real-time video analysis with voice-guided navigation. Also features a built-in Multi-Agent AI Assistant — users can speak naturally to complete map navigation, adjust system settings, send messages to family. (38 stars, MIT)
- [deepshell](https://madewithwhat.net/ollama/project/deepshell/): Your self-hosted AI assistant. Interactive Linux Shell, Files and Folders analysis. Powered by Ollama. (38 stars, GPL-3.0)
- [ollama-api-proxy](https://madewithwhat.net/ollama/project/ollama-api-proxy/): NPX/Docker package that creates Ollama API server and forward requests to Gemni/OpenAI/Deepseek/Kimi K2. Mainly purpose to use Free tier APIs in Jetbrains AI Assistant (38 stars, MIT)
- [SCAST](https://madewithwhat.net/ollama/project/scast/): Static Code Analysis and Visualization. Convert Code to UML and Flow Diagram and explain by AI. (38 stars, MIT)
- [open-tabletop-gm](https://madewithwhat.net/ollama/project/open-tabletop-gm/): LLM-agnostic tabletop RPG Game Master framework. Runs on OpenCode, LM Studio, or any LLM service. D&D 5e included as reference system — add any TTRPG via a system module. (38 stars)
- [lilbee](https://madewithwhat.net/ollama/project/lilbee/): The whole local AI stack in one executable: it runs and manages local AI models across every GPU, and it's a search engine you can talk to, with cited answers from your files, code, and the web. MCP server for coding agents, web crawler, TUI, CLI, REST API, Python library. No Ollama or LM Studio needed, works with both. (38 stars, MIT)
- [DeepCo](https://madewithwhat.net/ollama/project/deepco/): A Chat Client for LLMs, written in Compose Multiplatform. (38 stars)
- [financial-research-analyst-agent](https://madewithwhat.net/ollama/project/financial-research-analyst-agent/): The Financial Research Analyst Agent is a hierarchical multi-agent system that provides comprehensive stock analysis by coordinating 11 specialized AI agents, 20+ analysis tools, a RAG knowledge pipeline, and a multi-provider data layer — all accessible through a Streamlit web app, REST API, and CLI. (38 stars)
- [Piazza-Updater](https://madewithwhat.net/ollama/project/piazza-updater/): Piazza-Updater automates updates to a Weaviate database with real-time vectorial data. By continuously searching the internet and integrating with Verba repositories, it enhances retrieval-augmented generation (RAG) capabilities, keeping your applications informed and responsive. (38 stars, MIT)
- [llm-based-recommender](https://madewithwhat.net/ollama/project/llm-based-recommender/): AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences. (38 stars)
- [spring-ai-rag-ollama](https://madewithwhat.net/ollama/project/spring-ai-rag-ollama/): This project contains source code to demonstrate the usage of Retrival Augmented Generation (RAG) feature using Spring AI using PG Vector as the Database and Ollama as the Local LLM (38 stars)
- [exact-rag](https://madewithwhat.net/ollama/project/exact-rag/): AI-augmented, conversational information retrieval and data exploration (37 stars, MIT)
- [deepseek-azure-javascript](https://madewithwhat.net/ollama/project/deepseek-azure-javascript/): Demonstrate how to use DeepSeek-R1 models GitHub Models, Azure or Ollama (37 stars, MIT)
- [sky-livekit-agent-perplexica](https://madewithwhat.net/ollama/project/sky-livekit-agent-perplexica/): Sky LiveKit Agent Perplexica is a local, free solution integrating LiveKit with advanced internet search. It uses a local Perplexica instance with function calling to retrieve and summarise search results in natural language. Powered by Faster Whisper, Ollama (Qwen 2.5) and Kokoro-82M TTS. (37 stars)
- [claudex](https://madewithwhat.net/ollama/project/claudex/): Multi-instance Claude Code manager with intelligent translation proxy. Use Claude Code with Grok, ChatGPT, DeepSeek, Gemini, Kimi, GLM, Ollama and more. (37 stars, MIT)
- [BeautifyOllama](https://madewithwhat.net/ollama/project/beautifyollama/): BeautifyOllama is an open-source web interface that enhances your local Ollama AI model interactions with a beautiful, modern design. Built with cutting-edge web technologies, it provides a seamless chat experience with stunning visual effects and enterprise-grade functionality. (37 stars, GPL-3.0)
- [The-VibeCode-Bible](https://madewithwhat.net/ollama/project/the-vibecode-bible/): A free, living knowledge base on vibe coding — building SaaS fast with AI agents, local AI, and agentic workflows. (37 stars)
- [Xenon](https://madewithwhat.net/ollama/project/xenon/): A 100% local, all-in-one dashboard for the CORSAIR Xeneon Edge (and any Windows browser). System monitor, media & mic, a voice AI that can build dashboard pages for you, a Stream-Deck grid, RGB lighting, and Twitch/OBS control. Free, open-source, no account. (37 stars)
- [opencode-llm-proxy](https://madewithwhat.net/ollama/project/opencode-llm-proxy/): Local OpenCode-backed LLM gateway for OpenAI, Anthropic, Gemini, and Responses API-compatible tools, with streaming and tool/function calling. (37 stars, MIT)
- [homelab-mcp](https://madewithwhat.net/ollama/project/homelab-mcp/): Model Context Protocol (MCP) servers for managing homelab infrastructure through Claude Desktop. Monitor Docker/Podman containers, Ollama AI models, Pi-hole DNS, Unifi networks, and Ansible inventory. Includes security checks, templates, and automated pre-push validation. Production-ready for homelabs. (37 stars, MIT)
- [pcl](https://madewithwhat.net/ollama/project/pcl/): Persona Control Language (PCL) (37 stars, Apache-2.0)
- [gleann](https://madewithwhat.net/ollama/project/gleann/): A lightweight, high-performance AI/RAG workspace and autonomous agent framework implemented in Go. Inspired by the Leann RAG backend architecture (36 stars, MIT)
- [shifts](https://madewithwhat.net/ollama/project/shifts/): Elixir framework for composing autonomous AI agent workflows. (36 stars)
- [agent-swarm-kit](https://madewithwhat.net/ollama/project/agent-swarm-kit/): A TypeScript library for building orchestrated framework-agnostic multi-agent AI systems (36 stars, MIT)
- [Agentic-RAG-with-LangGraph-and-Ollama](https://madewithwhat.net/ollama/project/agentic-rag-with-langgraph-and-ollama/): Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications. (36 stars)
- [coding-assistant-codellama-streamlit](https://madewithwhat.net/ollama/project/coding-assistant-codellama-streamlit/): This project demonstrates how to utilize Codellama, a local open-source Large Language Model (LLM), and customize its behavior according to your specific requirements using a Modelfile. (36 stars)
- [ollama-batch-processor](https://madewithwhat.net/ollama/project/ollama-batch-processor/): Batch processor to enable large content be digested by Ollama, focused around book processing and translations by default, fully, configurable through json. (36 stars, MIT)
- [Deskdrop](https://madewithwhat.net/ollama/project/deskdrop/): Android keyboard with local AI (Ollama, Whisper, MCP) or cloud (Gemini, Groq, OpenAI) (36 stars, GPL-3.0)
- [ccl](https://madewithwhat.net/ollama/project/ccl/): Hit your limit? Need privacy? Just swap the model, everything else stays (36 stars, MIT)
- [vox](https://madewithwhat.net/ollama/project/vox/): Local voice AI framework for Rust. Whisper + LLM + TTS with no cloud dependencies. (36 stars, Apache-2.0)
- [HiOllama](https://madewithwhat.net/ollama/project/hiollama/): A sleek and user-friendly interface for interacting with Ollama models, built with Python and Gradio. (36 stars, MIT)
- [AI.duino](https://madewithwhat.net/ollama/project/ai-duino/): An Arduino AI Assistant. (4A! Yay!). This plugin integrates Claude, ChatGPT, Gemini, LM Studio and more directly into the Arduino IDE. (36 stars, Apache-2.0)
- [DSPy-Chain-of-Thought-RAG](https://madewithwhat.net/ollama/project/dspy-chain-of-thought-rag/): Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama (36 stars, Apache-2.0)
- [sublime-nano-bots](https://madewithwhat.net/ollama/project/sublime-nano-bots/): Boost productivity and power your workflow with Nano Bots for Sublime Text: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Cohere Command, Google Gemini, Maritaca AI MariTalk, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions). (36 stars, MIT)
- [Memorwise](https://madewithwhat.net/ollama/project/memorwise/): A local, open-source alternative to NotebookLM. Chat with your documents using any LLM. (35 stars, MIT)
- [polyglot](https://madewithwhat.net/ollama/project/polyglot/): Desktop application for instant AI-powered text transformation. Translate, correct, summarize, and change the tone of any text, anywhere, using your local AI instance. (35 stars)
- [trooper](https://madewithwhat.net/ollama/project/trooper/): LLM reliability layer -keeps agents alive with smart routing, context compaction, and local fallback (35 stars)
- [OSINTai](https://madewithwhat.net/ollama/project/osintai/): Advanced Sentinel OSINT Crawler with OLLAMA AI Integration. (35 stars)
- [llama3.2-webUI](https://madewithwhat.net/ollama/project/llama3-2-webui/): LLaMa 3.2 Multimodal Web UI is a user-friendly interface for interacting with the Ollama platform. (35 stars, MIT)
- [ollamaclient](https://madewithwhat.net/ollama/project/ollamaclient/): Go package and example utilities for using Ollama / LLMs (35 stars, Apache-2.0)
- [sublarr](https://madewithwhat.net/ollama/project/sublarr/): Self-hosted subtitle manager & LLM translator for anime and media — *arr-compatible, fully local (34 stars, GPL-3.0)
- [local-llm-chat-vs](https://madewithwhat.net/ollama/project/local-llm-chat-vs/): Local LLM for Visual Studio - an open-source extension for private, offline AI coding assistance and chat. (34 stars, GPL-2.0)
- [dagger-chatbot](https://madewithwhat.net/ollama/project/dagger-chatbot/): AI Chatbot that helps you learn how to use Dagger (34 stars, Apache-2.0)
- [wikimind](https://madewithwhat.net/ollama/project/wikimind/): WikiMind is a personal LLM-powered knowledge OS. Feed it articles, PDFs, YouTube videos, podcasts, or papers — it compiles them into a structured wiki and answers questions with full source attribution. (34 stars, MIT)
- [ollama-batch-cluster](https://madewithwhat.net/ollama/project/ollama-batch-cluster/): Large Scale Batch Processing with Ollama (34 stars)
- [WizSearch](https://madewithwhat.net/ollama/project/wizsearch/): Your intelligent ally for effortless information retrieval and seamless browsing across documents and the web. (34 stars, MIT)
- [OllamaLab](https://madewithwhat.net/ollama/project/ollamalab/): OllamaLab: a fully fledged AI assistant utilizing Ollama with Companion Mode for MacOS (34 stars)
- [openLight](https://madewithwhat.net/ollama/project/openlight/): Lightweight AI agent runtime for homelabs, built around deterministic skills and local LLMs. (34 stars, MIT)
- [AI-Healthcare-System](https://madewithwhat.net/ollama/project/ai-healthcare-system/): AI Data Engineering Healthcare Platform: PySpark Medallion Lakehouse, Airflow DAGs, 5 ML Models, Local LLM RAG, and FastAPI Clinical Architecture. (34 stars, AGPL-3.0)
- [ollama-toolkit](https://madewithwhat.net/ollama/project/ollama-toolkit/): The Ollama Toolkit is a collection of powerful tools designed to enhance your experience with the Ollama project, an open-source framework for deploying and scaling machine learning models. Think of it as your one-stop shop for streamlining workflows and unlocking the full potential of Ollama! (33 stars)
- [SCassist](https://madewithwhat.net/ollama/project/scassist/): SCassist: An AI Based Workflow Assistant for Single-Cell Analysis (33 stars)
- [knowledge-graphs](https://madewithwhat.net/ollama/project/knowledge-graphs/): Create and interact with Knowledge Graphs using Generative AI (33 stars, GPL-3.0)
- [llm-server](https://madewithwhat.net/ollama/project/llm-server/): Open-source LLM server (OpenAI, Ollama, Groq, Anthropic) with support for HTTP, Streaming, Agents, RAG (Deprecated check out Orchestra) -> (33 stars)
- [QodeX](https://madewithwhat.net/ollama/project/qodex/): QodeX — a local-first LLM agent & AI coding CLI agent for your terminal. Runs local models (Qwen3-Coder via Ollama/LM Studio) with deterministic guardrails, 100+ tools, a real browser, smart vision & shareable live artifacts. Open source, Apache-2.0. (33 stars)
- [ollamagoweb](https://madewithwhat.net/ollama/project/ollamagoweb/): Golang web client for Ollama, fast and easy to use. (33 stars, Apache-2.0)
- [zentrun](https://madewithwhat.net/ollama/project/zentrun/): Prompt-driven automation platform - Transform natural language into executable workflows (33 stars)
- [Grimore-MD](https://madewithwhat.net/ollama/project/grimore-md/): Local-first cognitive daemon for automated vault management Markdown. Semantic indexing, auto-tagging, and connection discovery using LLMs and vector search. (33 stars, MIT)
- [RAGENT](https://madewithwhat.net/ollama/project/ragent/): Probably one of the lightest native RAG + Agent apps out there，experience the power of Agent-powered models and Agent-driven knowledge bases in one click, without complex configuration. (33 stars, GPL-3.0)
- [AIfred-Intelligence](https://madewithwhat.net/ollama/project/aifred-intelligence/): AIfred-Intelligence — self-hosted Multi-Agent Assistant with Debate Modes (Symposion/Tribunal), Voice (STT + Streaming-TTS), RAG with Long-Term Memory, Web Research and Tool-Calling. Reachable via Web-UI or Telegram/Discord/Email/EPIM. Multi-Backend: llama-swap, Ollama, vLLM, TabbyAPI. (33 stars)
- [GeoAgent](https://madewithwhat.net/ollama/project/geoagent/): Plugin for QGIS interaction using LLM. Enables geospatial analysis and data processing through natural language commands. (33 stars, MIT)
- [MLE-STAR-Open](https://madewithwhat.net/ollama/project/mle-star-open/): Unofficial, Google‑free reimplementation of MLE‑STAR: a lightweight, local‑friendly multi‑agent ML engineering pipeline that uses OpenAI‑compatible LLMs (OpenRouter/Ollama) and DuckDuckGo search to generate, debug, refine, ensemble, and submit Kaggle‑ready solutions—AutoML for tabular tasks with code generation and iterative refinement. (33 stars)
- [zerikai_memory](https://madewithwhat.net/ollama/project/zerikai-memory/): A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers (32 stars, MIT)
- [ollaman-releases](https://madewithwhat.net/ollama/project/ollaman-releases/): ollama gui desktop (32 stars)
- [talk-to-django](https://madewithwhat.net/ollama/project/talk-to-django/): Learn how to talk to Django as any human should -- e.g. Semantic Search and Text-to-SQL. (32 stars, MIT)
- [cursor-ollama-backend](https://madewithwhat.net/ollama/project/cursor-ollama-backend/): Ollama proxy for Cursor editor (32 stars)
- [DAG-chat](https://madewithwhat.net/ollama/project/dag-chat/): Chat applications that use DAG to build question-answer relationships. (32 stars, MIT)
- [freelens-ai-extension](https://madewithwhat.net/ollama/project/freelens-ai-extension/): Freelens AI extension (32 stars, MIT)
- [parakeet-podcast-processor](https://madewithwhat.net/ollama/project/parakeet-podcast-processor/): P³: Lightning-fast podcast processing with Apple Silicon optimization and local LLMs. Parakeet MLX transcription + Ollama analysis = structured podcast summaries in minutes. 100% local, no API keys required. (32 stars)
- [AgentQL](https://madewithwhat.net/ollama/project/agentql/): Reusable.NET library that translates EF Core models into LLM-friendly schema descriptions and provides safe SQL query execution for AI agents. (32 stars, MIT)
- [Smart-Memory](https://madewithwhat.net/ollama/project/smart-memory/): A SillyTavern extension providing a multi-tier memory and narrative context system for AI roleplay. Tracks character facts, relationship history, per-character knowledge and secrets, entity state, scene history, story arcs, and rolling summaries - extracted automatically so your AI stays coherent no matter how long the story runs. (32 stars, AGPL-3.0)
- [Potplayer-Ollama-Translate](https://madewithwhat.net/ollama/project/potplayer-ollama-translate/): A live translation plugin for Potplayer, native ollama and custom api supported (32 stars, MIT)
- [moodle-qtype_aitext](https://madewithwhat.net/ollama/project/moodle-qtype-aitext/): Moodle AIText question type that uses a Large Language Model for feedback (32 stars)
- [operator](https://madewithwhat.net/ollama/project/operator/): Operator! Multi-agent orchestration application for AI assisted kanban shaped software development (32 stars, MIT)
- [AIPlanner](https://madewithwhat.net/ollama/project/aiplanner/): AI tool for efficient calendar event using Ollama and Flask (32 stars)
- [advanced-ai-intensive](https://madewithwhat.net/ollama/project/advanced-ai-intensive/): Build AI, agents and workflows with RAG, MCP, harnesses, & multi-agent orchestration in a 3-week cohort (32 stars)
- [codex-agent-mem](https://madewithwhat.net/ollama/project/codex-agent-mem/): Local-first Model Context Protocol (MCP) memory layer for Codex CLI/Desktop, Claude Code, Gemini CLI, Qwen/DeepSeek/Ollama and agent workflows. SQLite + FTS5 compact context packs, token savings, read-only mode, no external memory server. (32 stars, Apache-2.0)
- [OneBrain](https://madewithwhat.net/ollama/project/onebrain/): Unify every AI agent on ONE local shared memory over MCP. Obsidian vault + gbrain (by Garry Tan) + Ollama. 100% offline, $0 API. Orchestrate with OpenClaw or Hermes. (32 stars, MIT)
- [agentmake](https://madewithwhat.net/ollama/project/agentmake/): AgentMake AI: a kit for developing agentic AI applications that support 24 AI backends and and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong) Supported backends: anthropic, azure, azure_any, cohere, custom, deepseek, genai, github, github_any, googleai, groq, llamacpp, mistral, ollama, openai, vertexai, xai (31 stars, MIT)
- [infinite-sides](https://madewithwhat.net/ollama/project/infinite-sides/): Infinite Craft but in Pyside6 and Python with local LLM (llama3 & others) using Ollama (31 stars, MIT)
- [Smarter-Web-Scraping-with-Python](https://madewithwhat.net/ollama/project/smarter-web-scraping-with-python/): Leverage modern open-source tools to create better web scraping workflows. (31 stars)
- [platypus](https://madewithwhat.net/ollama/project/platypus/): Platypus is one app you need to organize your data. Note-taker, meeting transcriber and knowledge management, written in Rust. Easily add notes, transcribe meetings, cut and paste docs, and organize into projects with a single click. Then polish notes or query your knowledge with LLM of your choice. All data stays local, use your own LLM API. (31 stars)
- [Prompt-Chaining](https://madewithwhat.net/ollama/project/prompt-chaining/): Chain two LLMs — local or cloud: a Prompter that refines your idea, and a Coder that writes the code. (31 stars, MIT)
- [LiveCaption_Global](https://madewithwhat.net/ollama/project/livecaption-global/): Real-time bilingual subtitles for any browser video. Offline-first speech recognition (Whisper + SenseVoice, 100+ languages) with local Ollama AI translation — 100% private, ultra-low latency. (31 stars)
- [local-llm-autotune](https://madewithwhat.net/ollama/project/local-llm-autotune/): Zero-config local LLM optimization for Ollama, LM Studio, and Apple Silicon MLX. Reduces TTFT by 40%, wall time for local agents by 46%, and RAM usage by 3x. (31 stars, MIT)
- [ai-drawing](https://madewithwhat.net/ollama/project/ai-drawing/): An interactive C++ drawing application that combines AI-powered visual completion through real-time canvas interpretation and image generation. (31 stars, MIT)
- [shellm](https://madewithwhat.net/ollama/project/shellm/): A one-file Ollama CLI client written in bash (31 stars, GPL-3.0)
- [thinkR](https://madewithwhat.net/ollama/project/thinkr/): gpt-o1 like chain of thoughts with local LLMs in R (31 stars)
- [ollama-docker-web-application](https://madewithwhat.net/ollama/project/ollama-docker-web-application/): Xây dựng AI Agent Website (31 stars)
- [secfeed](https://madewithwhat.net/ollama/project/secfeed/): AI-Powered Security Feed in Real Time (31 stars, Apache-2.0)
- [Mocolamma](https://madewithwhat.net/ollama/project/mocolamma/): Unofficial Ollama manager app for macOS, iOS, iPadOS, and visionOS, featuring server management, model management, chat, and image generation feature (31 stars, MIT)
- [TracePcap](https://madewithwhat.net/ollama/project/tracepcap/): Self-hosted PCAP analysis platform with LLM-powered incident triage, signature-based threat detection, and AI-generated incident narratives. Features network change monitoring across captures, deep packet inspection via nDPI, and automated Wireshark filter generation. Runs fully offline with local LLMs (Ollama, LM Studio). (30 stars, MIT)
- [matlab-ai-agent-sdk](https://madewithwhat.net/ollama/project/matlab-ai-agent-sdk/): Build and run AI agents in MATLAB with the MATLAB AI Agent SDK (30 stars)
- [Caption-Creator](https://madewithwhat.net/ollama/project/caption-creator/): Caption Creator is a fast and portable tool for generating high-quality image captions and tags - ideal for custom dataset creation. Works seamlessly for both training and image generation. (30 stars, MIT)
- [Local-CLI](https://madewithwhat.net/ollama/project/local-cli/): AI Coding Assistant CLI for offline enterprise environments - Local LLM platform with Plan & Execute architecture, Supervised Mode, and auto-update system (30 stars, MIT)
- [Opencognit](https://madewithwhat.net/ollama/project/opencognit/): The open-source AI agent OS. CEO orchestrator, persistent memory, real execution, atomic budgets. Self-hosted. No cloud lock-in. (30 stars)
- [cybersec-toolkit](https://madewithwhat.net/ollama/project/cybersec-toolkit/): One command installs 580+ security tools on Linux & Termux. Its authorization-gated MCP server works with Claude Code, OpenCode, Codex, Gemini CLI, Ollama-backed agents and other MCP clients. Includes 870+ agent skills for CTF, pentesting, bug bounty, DFIR and red/blue teams—companion by default, autonomous when asked. (29 stars, MIT)
- [celai](https://madewithwhat.net/ollama/project/celai/): Open source framework designed to accelerate the development of omnichannel AI virtual assistants. (29 stars, MIT)
- [docuchat.app](https://madewithwhat.net/ollama/project/docuchat-app/): Private, self-hosted document chat for attorneys: parse legal PDFs and query them with local open-source LLMs (Ollama) + verifiable page citations. One-click desktop app at docuchat.app. (29 stars, MIT)
- [Elpis](https://madewithwhat.net/ollama/project/elpis/): You put an agent into an Elpis, and it becomes Elpis; Be Elpis my friend. (29 stars, MIT)
- [sample-ollama-server](https://madewithwhat.net/ollama/project/sample-ollama-server/): Ollama on GPU EC2 instance with Open WebUI web interface and Bedrock access (29 stars, MIT-0)
- [session-indexer](https://madewithwhat.net/ollama/project/session-indexer/): Per-project semantic search over Claude Code session history. Indexes JSONL transcripts into SQLite; retrieves via bge-m3 embeddings (Ollama) with FTS5 fallback. (29 stars, Apache-2.0)
- [CopilotProxy](https://madewithwhat.net/ollama/project/copilotproxy/): CopilotProxy — Ollama AI (29 stars, MIT)
- [openmagpie](https://madewithwhat.net/ollama/project/openmagpie/): Open-source, self-hostable social listening. (29 stars)
- [llmqore](https://madewithwhat.net/ollama/project/llmqore/): Qt C++ library for working with AI/LLM Providers and MCP (29 stars, MIT)
- [eullm](https://madewithwhat.net/ollama/project/eullm/): Open-source platform for creating, distributing and running sovereign EU-compliant LLMs. Verticalize any model for your domain, language and brand. AI Act ready. (28 stars, Apache-2.0)
- [ai-suite](https://madewithwhat.net/ollama/project/ai-suite/): AI-Suite - n8n, OpenClaw, Open WebUI, OpenCode, Llama.cpp/Ollama, Flowise, Langfuse, MCP Gateway and more! (28 stars, Apache-2.0)
- [LLM-fine-tuner](https://madewithwhat.net/ollama/project/llm-fine-tuner/): Powerful no-code LLM fine-tuner: upload data → train → deploy in minutes. Unsloth 2-5× acceleration · QLoRA/DPO/RLHF/PPO/ORPO · Reward Model training · GGUF export · vLLM inference · BLEU/ROUGE/BERTScore · full CLI · Heretic Mode to unlock full model potential (28 stars, GPL-3.0)
- [PyLangPipe](https://madewithwhat.net/ollama/project/pylangpipe/): a simple lightweight large language model pipeline framework. (28 stars, Apache-2.0)
- [ToK](https://madewithwhat.net/ollama/project/tok/): Simple, High Quality, Open Source RAG solution for chatting with your documents (28 stars, Apache-2.0)
- [RadIA-Plugin](https://madewithwhat.net/ollama/project/radia-plugin/): Assistente de IA avançado para a IDE Embarcadero Delphi (usando Open Tools API) com chat acoplável VCL/WebView2, streaming SSE e refatoração visual. 🇧🇷 (English docs available in README.en.md 🇺🇸) (28 stars, Apache-2.0)
- [AMD_iGPU_AI_Setup](https://madewithwhat.net/ollama/project/amd-igpu-ai-setup/): AMD iGPU AI Setup and Speed Test - GPD Pocket 4 - Linux + ROCm + Vulkan + AgentMake AI (28 stars)
- [miii-cli](https://madewithwhat.net/ollama/project/miii-cli/): Local AI coding agent for your terminal. Open-source, offline alternative to Claude Code, Cursor & Copilot — powered by Ollama and any local LLM. Private by default, free forever. (28 stars, MIT)
- [accountant24](https://madewithwhat.net/ollama/project/accountant24/): Local-first AI agent for personal finance (28 stars, MIT)
- [ollama-action](https://madewithwhat.net/ollama/project/ollama-action/): Run Ollama large language models (LLMs) with GitHub Actions. (28 stars, MIT)
- [AICommit](https://madewithwhat.net/ollama/project/aicommit/): AI commit messages from your local LLM - Ollama / llama-cpp backed, offline, Conventional Commits, with review + changelog modes. (27 stars, MIT)
- [TricorderKit](https://madewithwhat.net/ollama/project/tricorderkit/): The local-first Agentic Knowledge OS - CLI-first, self-improving, measured. Turn intentions into traceable, auditable, reusable workflows. Runs on your machine (Ollama, Neo4j, Qdrant). (27 stars, MIT)
- [AgentRunKit](https://madewithwhat.net/ollama/project/agentrunkit/): Swift 6 agent SDK: type-safe tools, streaming, cloud + on-device inference via MLX on Apple Silicon (27 stars, MIT)
- [shadowquillapp](https://madewithwhat.net/ollama/project/shadowquillapp/): ShadowQuill is a privacy‑first, offline and free prompt engineering/generation app powered by self-hosted local LLMs (27 stars, MIT)
- [patchwork-os](https://madewithwhat.net/ollama/project/patchwork-os/): The decision layer for personal AI. Local-first runtime where agents automate across GitHub, Slack, Gmail & 45+ services — but every risky action stops for your yes, workers earn autonomy from track record, and every decision leaves a receipt. Your models, your machine, your policy. Includes an MCP bridge: 177 IDE tools for Claude Code. (27 stars, MIT)
- [tightwad](https://madewithwhat.net/ollama/project/tightwad/): Mixed-vendor GPU inference cluster manager with speculative decoding (27 stars, MIT)
- [crnn-ctc](https://madewithwhat.net/ollama/project/crnn-ctc/): CRNN/LPRNet/STNet + CTC + CCPD (27 stars, Apache-2.0)
- [exif-ai](https://madewithwhat.net/ollama/project/exif-ai/): A Node.js CLI and library that uses OpenAI, Ollama, ZhipuAI, Google Gemini or Coze to write AI-generated image descriptions and/or tags to EXIF metadata by its content. (27 stars, GPL-2.0)
- [inkwell](https://madewithwhat.net/ollama/project/inkwell/): Self-hosted, BYOK outreach intelligence. Scan forums free; draft replies in your voice only on demand. (27 stars, MIT)
- [metronix-memory](https://madewithwhat.net/ollama/project/metronix-memory/): Metronix Memory is self-hosted memory infrastructure for AI agents: MCP-native, local-model friendly, with hybrid RAG, a temporal knowledge graph and ontology layer, durable memory, freshness checks, and agent-scoped context (27 stars, Apache-2.0)
- [Unlimited-Context-LLM](https://madewithwhat.net/ollama/project/unlimited-context-llm/): Unlimited context for Ai — give any LLM a billion-token memory. Open-source, local-first context + memory engine for agents. (26 stars, Apache-2.0)
- [dive](https://madewithwhat.net/ollama/project/dive/): Dive is a secure, local-first desktop client for Ollama and Pi agentic AI. Features an ultra-compact offline RAG engine for indexing massive book libraries, MCP tool integration, sandboxed custom skills, PDF extraction, and macOS daemon support. (26 stars, MIT)
- [govllm](https://madewithwhat.net/ollama/project/govllm/): Continuous LLM governance monitoring for regulated environments - EU AI Act, GDPR, ANSSI. Self-hosted, profile-driven, no data leaves your infrastructure. (26 stars)
- [scribe](https://madewithwhat.net/ollama/project/scribe/): LLM-managed personal knowledge base. Auto-extracts from git repos, Claude Code sessions (via ccrider FTS5), and iMessage bookmarks. Cross-project, qmd-indexed, runs on cron (26 stars, MIT)
- [ollama-javascript-playground](https://madewithwhat.net/ollama/project/ollama-javascript-playground/): Generative AI playground using Ollama, OpenAI API and JavaScript. Try AI models in your browser! (26 stars, MIT)
- [Chat-RAG](https://madewithwhat.net/ollama/project/chat-rag/): Advanced Coding AI Assistant that uses a Gradio interface to stream coding related responses. ChatRAG supports local and API inference and pulls context from GitHub Repos and local files. (26 stars, Apache-2.0)
- [LrGeniusAI](https://madewithwhat.net/ollama/project/lrgeniusai/): A project worth exploring. (25 stars, AGPL-3.0)
- [LocalEyes](https://madewithwhat.net/ollama/project/localeyes/): Give text based LLMs in Claude Code working eyes using a local Ollama vision model. Screen capture, clipboard reading, and image file analysis — no cloud, no uploads, 100% local. (25 stars, MIT)
- [garudust-agent](https://madewithwhat.net/ollama/project/garudust-agent/): Open-source AI agent runtime in Rust — Self-hostable with persistent memory, self-improving skills, MCP support, built-in cron, multi-platform messaging & production gateway. (25 stars, MIT)
- [openvals](https://madewithwhat.net/ollama/project/openvals/): Open-source AI model evaluation and benchmarking framework for LLMs (OpenAI, Ollama, Claude, Gemini) (25 stars)
- [dot-loom](https://madewithwhat.net/ollama/project/dot-loom/): Provider-pluggable orchestration runtime for multi-model AI inference. ( Sakana Fugu style ) (25 stars, MIT)
- [MeetMemo](https://madewithwhat.net/ollama/project/meetmemo/): Offline transcription web app that turns speech into text, identifies speakers, and creates summaries. Supports custom prompts and local LLM integration. (25 stars, MIT)
- [vault-engine](https://madewithwhat.net/ollama/project/vault-engine/): A local-LLM privacy layer for anything you paste into a cloud model — detect, tokenize, restore. Zero deps, reversible, strong on Chinese. (25 stars, Apache-2.0)
- [Jarvis](https://madewithwhat.net/ollama/project/jarvis/): Open-source AI assistant with voice control, browser automation, desktop overlay, and 109+ tools. Built with Python, Next.js, and Three.js. (25 stars)
- [batonbot](https://madewithwhat.net/ollama/project/batonbot/): Local-first AI workflow orchestration for chaining models, agents, tools, and scripts into repeatable workflows. (25 stars, MIT)
- [clawbox](https://madewithwhat.net/ollama/project/clawbox/): ClawBox — Your private AI assistant on NVIDIA Jetson. Setup wizard, dashboard, and 580+ skills. Plug in, scan QR, done. (24 stars)
- [code-buddy](https://madewithwhat.net/ollama/project/code-buddy/): Open-source multi-provider AI coding agent — terminal + Electron desktop (Cowork) + 24/7 multi-AI fleet, free-first on local Ollama. Opt-in, human-gated evolutionary self-improvement that ingests research to set its own goals. 15 LLM providers (Claude, GPT, Gemini, Grok), ~110 tools, MCP, voice+vision companion. (24 stars, MIT)
- [nomos](https://madewithwhat.net/ollama/project/nomos/): Your AI Digital Clone — learns who you are, acts on your behalf, remembers everything. Persistent vector memory, multi-agent teams, 60+ skills, smart model routing. Self-hosted, encrypted, multi-provider (Claude/Ollama/OpenRouter). Deploy to Slack, Discord, Telegram, WhatsApp & more in minutes. (24 stars, MIT)
- [llm-function-calling-examples](https://madewithwhat.net/ollama/project/llm-function-calling-examples/): Strongly-typed LLM Function Calling examples, run on OpenAI, Ollama, Mistral and others. (24 stars, MIT)
- [llayer](https://madewithwhat.net/ollama/project/llayer/): AI agents the Unix way (24 stars, MIT)
- [YSocial](https://madewithwhat.net/ollama/project/ysocial/): An open-source, AI-driven Social Media Digital Twin powered by LLMs (Ollama, vLLM) for Computational Social Science simulations, network analysis, and human-agent interaction. (24 stars, GPL-3.0)
- [mini_agent](https://madewithwhat.net/ollama/project/mini-agent/): A minimal AI agent built from scratch — no agent framework, just Python, the OpenAI SDK, and a `while` loop. Accompanies the Medium article "Build Your Own AI Agent from Scratch." Three execution modes: `local` (Ollama only), `remote` (cloud provider), `mixed` (local orchestrates, delegates to remote). (24 stars)
- [llm-council](https://madewithwhat.net/ollama/project/llm-council/): Start a chat room between all, or some, of your models running on Ollama. All in a single Bash shell script. (24 stars, MIT)
- [LangChain.Providers](https://madewithwhat.net/ollama/project/langchain-providers/): Part of the LangChain.NET project. Has separate abstractions, does not contain dependencies on the main project and can be used independently (23 stars, MIT)
- [Phos](https://madewithwhat.net/ollama/project/phos/): Just my pax historia, in open for people (23 stars, MIT)
- [locode](https://madewithwhat.net/ollama/project/locode/): Local-first AI coding CLI. Routes simple tasks to a local LLM (Ollama), complex tasks to Claude. Saves tokens. (23 stars, MIT)
- [transcribe-critic](https://madewithwhat.net/ollama/project/transcribe-critic/): Multi-source transcript merging inspired by textual criticism — LLM adjudicates multiple Whisper, YouTube captions & external transcripts for higher quality. Includes speaker diarization and summarization. (23 stars, MIT)
- [llm-swarm-router](https://madewithwhat.net/ollama/project/llm-swarm-router/): Run the LLM Swarm Router on machines to distribute Local Ai to the Swarm - More Machines - MORE SPEED (23 stars, MIT)
- [Local-Agent-Studio](https://madewithwhat.net/ollama/project/local-agent-studio/): A simple studio to use agent (23 stars, Apache-2.0)
- [latent-gate](https://madewithwhat.net/ollama/project/latent-gate/): VL-JEPA inspired pipeline — compress images/text locally via Ollama, send compact payloads to any LLM API. Cut token costs by ~80%. (23 stars, MIT)
- [ollama-traefik-letsencrypt-docker-compose](https://madewithwhat.net/ollama/project/ollama-traefik-letsencrypt-docker-compose/): Ollama with Let's Encrypt Using Docker Compose (23 stars)
- [minecraft-agent-swarm](https://madewithwhat.net/ollama/project/minecraft-agent-swarm/): A self-improving swarm of local-LLM agents that mine, smelt, build, farm, and fight their way through Minecraft as a coordinated team. Built on mineflayer + Ollama. (23 stars, MIT)
- [open-agent-sdk-rust](https://madewithwhat.net/ollama/project/open-agent-sdk-rust/): Rust SDK for building AI agents with local OpenAI-compatible servers (LMStudio, Ollama, llama.cpp, vLLM). Features streaming, tools, hooks, retry logic, and comprehensive examples. (23 stars, MIT)
- [omadia](https://madewithwhat.net/ollama/project/omadia/): Self-hostable agentic OS. Build, run & audit multi-agent AI teams from signed plugins. Bring your own LLM key, own all your data, EU/GDPR-ready. (23 stars, MIT)
- [StudyNest](https://madewithwhat.net/ollama/project/studynest/): Local PC app for everyone to use LLM locally (22 stars)
- [ai-natural-language-tests](https://madewithwhat.net/ollama/project/ai-natural-language-tests/): Enterprise-grade platform to generate and execute Cypress, Playwright, WebdriverIO, and Appium end-to-end tests from natural language requirements. (Appium is experimental and requires external mobile infrastructure.) (22 stars, AGPL-3.0)
- [Comfy-Cozy](https://madewithwhat.net/ollama/project/comfy-cozy/): Say 'dreamier' and your ComfyUI workflow shifts — instantly, reversibly. An AI co-pilot for VFX artists: zero-LLM recipes (dreamier/sharper/faster), 133 MCP tools, EXR-aware vision, workflow.lock provenance, full undo, native sidebar, 5 swappable brains (Claude, GPT, Gemini, Ollama, Nemotron). (22 stars, MIT)
- [hexclaw-desktop](https://madewithwhat.net/ollama/project/hexclaw-desktop/): HexClaw Desktop — AI Agent 。Tauri + Vue 3， Sidecar ， Ollama/OpenAI/Claude/DeepSeek ，， RAG，MCP ，/Telegram/Discord IM 。 (22 stars, Apache-2.0)
- [gn](https://madewithwhat.net/ollama/project/gn/): Pull 90-day news snapshots. (22 stars, Apache-2.0)
- [comfyui-muse](https://madewithwhat.net/ollama/project/comfyui-muse/): Local LLM chat panel for ComfyUI — LM Studio & Ollama, multi-session, vision support, Guide Materials (22 stars, MIT)
- [MiloAgent](https://madewithwhat.net/ollama/project/miloagent/): MiloAgent — Autonomous AI Growth Agent for Reddit, Twitter/X & Telegram. Self-learning bot with LLM-powered content generation, multi-account management, community automation, and A/B testing. Zero cost, open source. (22 stars, MIT)
- [fortemi](https://madewithwhat.net/ollama/project/fortemi/): Self-hosted AI knowledge base with hybrid semantic search (pgvector + FTS + RRF), MCP server, multi-provider LLM inference (Ollama, OpenAI, OpenRouter, llama.cpp), multimodal ingestion (vision, audio transcription, speaker diarization), and knowledge graph. Rust + PostgreSQL. (22 stars)
- [nenya](https://madewithwhat.net/ollama/project/nenya/): A lightweight, highly secure AI API Gateway/Proxy written in Go. Acts as transparent middleware between local AI coding clients (OpenCode/Pi/Cursor) and upstream LLM providers (Gemini, DeepSeek, Zhipu z.ai). (22 stars, Apache-2.0)
- [ollama-mcp-example](https://madewithwhat.net/ollama/project/ollama-mcp-example/): Ollama MCP example for dummies. (22 stars, Unlicense)
- [ollama-lmstudio-proxy](https://madewithwhat.net/ollama/project/ollama-lmstudio-proxy/): Use LM Studio with Ollama API (22 stars, Apache-2.0)
- [antigravity-proxy](https://madewithwhat.net/ollama/project/antigravity-proxy/): A TypeScript proxy that intercepts Antigravity's Gemini API and routes to NVIDIA or OpenRouter — chat, tools, browser automation, all working. (22 stars, MIT)
- [ollama-chat](https://madewithwhat.net/ollama/project/ollama-chat/): A customizable Python CLI tool for interacting with local Language Models, ensuring data privacy while providing conversation memory and extensibility through plugins and efficient Retrieval-Augmented Generation capabilities with ChromaDB integration. Also compatible with OpenAI API. (22 stars)
- [brand-loom](https://madewithwhat.net/ollama/project/brand-loom/): Open-source marketing skills that run on any model — with a hosted brand-memory engine. No coding agent required. (22 stars, Apache-2.0)
- [Cogtrix](https://madewithwhat.net/ollama/project/cogtrix/): About Modular AI assistant — 60 built-in tools, multi-provider LLM support (Ollama, OpenAI, Anthropic, Gemini), hybrid memory, WhatsApp/Telegram daemon mode (21 stars)
- [insight-engine](https://madewithwhat.net/ollama/project/insight-engine/): AI Content Engine — YouTube URL → 14 styles of polished content. 5 AI providers (Gemini, DeepSeek, GLM, Ollama, OpenRouter), multilingual (ko/en/ja), RAG, MCP auto-publish, team workspaces. Flask + Next.js full-stack. (21 stars)
- [NeoAgent](https://madewithwhat.net/ollama/project/neoagent/): Self-hosted AI agent for automation, messaging, tools, integrations, and device control. (21 stars, GPL-3.0)
- [rag-tui](https://madewithwhat.net/ollama/project/rag-tui/): Debug your RAG pipeline without leaving the terminal. Real-time chunking visualization, batch testing, quality metrics, and one-click export to LangChain/LlamaIndex. (21 stars, MIT)
- [langchainjs-workshop](https://madewithwhat.net/ollama/project/langchainjs-workshop/): Repository for the workshop "Unlocking the power of AI: Private conversations with your docs using Langchain JS" by @pattyneta (21 stars, MIT)
- [wsbg-terminal](https://madewithwhat.net/ollama/project/wsbg-terminal/): Das Bloomberg Terminal für r/wallstreetbetsGER (21 stars, AGPL-3.0)
- [Repo-Sage](https://madewithwhat.net/ollama/project/repo-sage/): An autonomous, 100% local Agentic GraphRAG system for codebase intelligence. Paste any GitHub URL or local directory to chat with your code. Powered by LangGraph, NetworkX, and Ollama (qwen2.5-coder). (21 stars)
- [p2ptokens](https://madewithwhat.net/ollama/project/p2ptokens/): Distributed, peer-to-peer, decentralized network for LLM inference — peers seed & leech completions, metered by BitTorrent-protocol-style upload/download ratios. OpenAI-compatible · Rust · libp2p. (21 stars)
- [open-dynamic-workflows](https://madewithwhat.net/ollama/project/open-dynamic-workflows/): Open-source dynamic multi-agent workflows for AI coding agents - the script-as-orchestrator engine behind Claude Code dynamic workflows & ultracode, for OpenCode, Codex, Antigravity & VS Code. Local-first, bring your own model (Anthropic/OpenAI/Ollama), MIT. (21 stars, MIT)
- [yesbrainer](https://madewithwhat.net/ollama/project/yesbrainer/): A council of AI models for the decisions that aren't no-brainers — they answer in parallel, debate to consensus, or get judged to a verdict. Browser-only, open source, bring your own keys (BYOK), no backend. (21 stars, AGPL-3.0)
- [llmviz](https://madewithwhat.net/ollama/project/llmviz/): Publication-quality LLM architecture figures from config.json — Raschka-style towers, diffs, posters, VRAM math. No weights needed. (21 stars, Apache-2.0)
- [Aivy-OS](https://madewithwhat.net/ollama/project/aivy-os/): Your own digital life form — local AI companion with persistent memory, IDE workspace, MCP support, and 30+ tools. Companion-first alternative to Hermes Agent / OpenClaw / Claude Code. (21 stars)
- [hh-ai-agent](https://madewithwhat.net/ollama/project/hh-ai-agent/): It's actively developed around ai-agent, anti-captcha, automation, and is a solid reference for anyone building with these tools. (21 stars, MIT)
- [swarm-ai](https://madewithwhat.net/ollama/project/swarm-ai/): Spring AI framework for Java that plans, executes, and improves itself — agents detect capability gaps at runtime and generate validated skills on the fly. (21 stars, Apache-2.0)
- [Terradev](https://madewithwhat.net/ollama/project/terradev/): An imperative command-line-interface for AI workload orchestration (21 stars, Apache-2.0)
- [grob](https://madewithwhat.net/ollama/project/grob/): LLM proxy with built-in DLP and regulatory compliance. Redacts secrets before they reach the API. EU AI Act, GDPR, HDS/PCI DSS ready. Multi-provider failover, live TUI, virtual keys, fan-out. 6 MB, zero deps. Rust. (21 stars, Apache-2.0)
- [agentty](https://madewithwhat.net/ollama/project/agentty/): AI pair programming in your terminal — one static binary, sub-ms startup, any model (20 stars, MIT)
- [Graphlink](https://madewithwhat.net/ollama/project/graphlink/): Graphlink (formerly Graphite) is a local-first, graph-based AI workspace for building branching reasoning workflows, running agent plugins, and orchestrating multiple AI providers in a visual environment designed for complex problem solving. (20 stars, MIT)
- [cockpit](https://madewithwhat.net/ollama/project/cockpit/): The open-source Claude Code GUI — parallel multi-project sessions, multi-engine BYOK (Codex / DeepSeek / Kimi / Ollama), terminal, browser & DB bubbles, code review. Built on the official Claude Agent SDK. Local-first, MIT. (20 stars, MIT)
- [RAGWire](https://madewithwhat.net/ollama/project/ragwire/): Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction, hybrid search, and SHA256 deduplication. (20 stars, MIT)
- [ClaraN](https://madewithwhat.net/ollama/project/claran/): ClaraN — Privacy-first, fully local AI workspace with Ollama LLM chat, tool calling, agent builder, Stable Diffusion, and embedded n8n-style automation. Backend in Rust. Just your stack, your machines. (20 stars, MIT)
- [prevail-desktop](https://madewithwhat.net/ollama/project/prevail-desktop/): Private, local-first AI "life OS": any model per life-domain over a markdown vault on your machine. Council mode, open source (GPL-3.0). (20 stars, GPL-3.0)
- [bbarit-agent-oss](https://madewithwhat.net/ollama/project/bbarit-agent-oss/): A fast, open-source AI coding agent for the terminal — Rust, many LLM providers, one binary. Originally built into BBARIT Terminal; agent core based on Pi (MIT), auto-memory design from qwen-code (Apache-2.0). (20 stars)
- [FinSight](https://madewithwhat.net/ollama/project/finsight/): Privacy focused bank and credit card statement insights and visualizer (20 stars, MIT)
- [mugen-shell](https://madewithwhat.net/ollama/project/mugen-shell/): Hyprland + Quickshell desktop with Material You theming, video wallpapers, and Yura — an AI assistant that controls the shell via tool calls (Ollama / Claude / Gemini / OpenAI). (20 stars, MIT)
- [hash](https://madewithwhat.net/ollama/project/hash/): A POSIX shell with AI in the grammar: type?? to drive Claude Code, Cursor CLI, Gemini CLI, or Ollama over ACP. Local-first, no login, no telemetry. (20 stars, MIT)
- [wallie-V2](https://madewithwhat.net/ollama/project/wallie-v2/): Open-source AI that watches and hears your screen and reacts live as any personality you design — for faceless content, autonomous AI streams, and real-time commentary. Runs locally on your own keys. (20 stars, MIT)
- [SelenaCore](https://madewithwhat.net/ollama/project/selenacore/): Offline-first smart-home hub — FastAPI core + modular plugins, local voice (Vosk STT + Piper TTS + Ollama LLM), presence, automations. Raspberry Pi / Jetson / generic Linux, Ukrainian + English out of the box. (20 stars, MIT)
- [eclipse-peon-ai](https://madewithwhat.net/ollama/project/eclipse-peon-ai/): AI harness for and with Eclipse IDE with the focus on offline LLM with llama.cpp. Build with LangChain4J. Supports Ollama, LM Studio, llama.cpp, unsloth or cloud providers like with OpenA API, Anthropic Claude, Google Gemini, Mistral, GitHub Copilot. Contributions are highly welcome! (20 stars)
- [Mnemolis](https://madewithwhat.net/ollama/project/mnemolis/): A self-hosted knowledge broker for homelabs. Routes and fuses queries across Kiwix, FreshRSS, Open-Meteo, SearXNG, Uptime Kuma, and Home Assistant — and tracks what changed over time. REST API and MCP server, integrates natively with Open WebUI and Home Assistant. (20 stars, MIT)
- [warble](https://madewithwhat.net/ollama/project/warble/): Fully local AI voice backend for the M5Stack StackChan robot (whisper.cpp + Silero VAD + Ollama + Piper) - replaces the xiaozhi.me cloud, no API keys, runs on your own machine. (20 stars, MIT)
- [lychee](https://madewithwhat.net/ollama/project/lychee/): Universal local LLM runtime. Drop-in Ollama replacement with HuggingFace integration, pipelines, structured output. Free & open source. (20 stars, MIT)
- [naidan](https://madewithwhat.net/ollama/project/naidan/): A privacy-focused web UI for LLMs (OpenAI-compatible APIs and Ollama) designed to run directly from a portable directory on your filesystem. (20 stars, MIT)
- [ThrillhouseBot](https://madewithwhat.net/ollama/project/thrillhousebot/): Your nerdy PR reviewer — a Quarkus GraalVM-native GitHub App that AI-reviews diffs, posts inline suggestions, and streams live to a dashboard. (20 stars, Apache-2.0)
- [terminal](https://madewithwhat.net/ollama/project/terminal/): BBARIT Terminal — free AI vibe coding IDE, terminal & agent in one, built 100% in Rust. Ships BBARIT Agent (built-in coding agent with a verify loop) + a dev↔review AI pair, runs Claude, Codex, Gemini, Kimi, Qwen & Ollama side by side, and edits Word/Excel/PowerPoint. macOS & Windows. Free. (20 stars)
- [chat-llm](https://madewithwhat.net/ollama/project/chat-llm/): Chat with an LLM (20 stars, MIT)
- [rustyhand](https://madewithwhat.net/ollama/project/rustyhand/): Agent OS in Rust — one binary, 37 agents, 26 LLM providers, 37 channels (Telegram/Discord/Slack...), MCP server, A2A protocol, 120+ API endpoints, web dashboard (20 stars, MIT)

## DevTools (61)

- [whichllm](https://madewithwhat.net/ollama/project/whichllm/): Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. (5,790 stars, MIT)
- [whodb](https://madewithwhat.net/ollama/project/whodb/): Where data access meets operational intelligence (4,925 stars, Apache-2.0)
- [tracecat](https://madewithwhat.net/ollama/project/tracecat/): Open-source security automation platform for teams and AI agents (3,729 stars, AGPL-3.0)
- [algernon](https://madewithwhat.net/ollama/project/algernon/): Small self-contained pure-Go web server with Lua, Teal, Markdown, Ollama, HTTP/2, QUIC, Redis, TypeScript, SQLite and PostgreSQL support ++ (3,019 stars, BSD-3-Clause)
- [Aix-DB](https://madewithwhat.net/ollama/project/aix-db/): Aix-DB LangChain/LangGraph ， MCP Skills ，。 (2,189 stars)
- [kubewall](https://madewithwhat.net/ollama/project/kubewall/): kubewall - Single-Binary Kubernetes Dashboard with Multi-Cluster Management & AI Integration. (OpenAI / Claude 4 / Gemini / DeepSeek / OpenRouter / Ollama / Qwen / LMStudio) (1,914 stars, Apache-2.0)
- [x-crawl](https://madewithwhat.net/ollama/project/x-crawl/): Flexible Node.js AI-assisted crawler library (1,871 stars, MIT)
- [ollama-docker](https://madewithwhat.net/ollama/project/ollama-docker/): Welcome to the Ollama Docker Compose Setup! This project simplifies the deployment of Ollama using Docker Compose, making it easy to run Ollama with all its dependencies in a containerized environment (1,411 stars)
- [airecon](https://madewithwhat.net/ollama/project/airecon/): AIRecon is an autonomous cybersecurity agent that combines a self-hosted Large Language Model (Ollama) with a Kali Linux Docker sandbox and a Textual TUI. It is designed to automate security assessments, penetration testing, and bug bounty reconnaissance — without any API keys or cloud dependency. (795 stars, MIT)
- [mcp-client-for-ollama](https://madewithwhat.net/ollama/project/mcp-client-for-ollama/): Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences. (775 stars, MIT)
- [patent](https://madewithwhat.net/ollama/project/patent/): A prior-art search for your code ideas — has this dev tool already been shipped? (508 stars, Apache-2.0)
- [EVA](https://madewithwhat.net/ollama/project/eva/): EVA is an AI-assisted penetration testing agent that enhances offensive security workflows by providing structured attack guidance, contextual analysis, and multi-backend AI integration. (426 stars)
- [loz](https://madewithwhat.net/ollama/project/loz/): Loz is a command-line tool that enables your preferred LLM to execute system commands and utilize Unix pipes, integrating AI capabilities with other Unix tools. (262 stars)
- [SveltyCMS](https://madewithwhat.net/ollama/project/sveltycms/): SveltyCMS is a headless CMS. Built with modern and lightweight SvelteKit, This CMS is designed for speed, flexibility, and scalability. Perfect for developers looking for a fast & fully customizable CMS with minimal setup. TailwindCSS, theme and widgets allow easy expansion. (246 stars)
- [SymBot](https://madewithwhat.net/ollama/project/symbot/): SymBot is a user friendly, self-hosted and automated DCA (Dollar Cost Averaging) cryptocurrency bot solution (196 stars)
- [OpenAver](https://madewithwhat.net/ollama/project/openaver/): Free open-source desktop app that scrapes JAV metadata and generates NFO + cover art for Jellyfin, Emby & Kodi. No Docker, no CLI — one-click install on Windows & macOS. 8 built-in sources + optional Metatube federation (30+ providers), actress collections, cross-language tag aliases, and a REST API for AI agents. (164 stars, MIT)
- [ai-terminal](https://madewithwhat.net/ollama/project/ai-terminal/): Your AI mate into your favourite terminal (149 stars)
- [diny](https://madewithwhat.net/ollama/project/diny/): Free AI git commit messages. No API key. No signup (130 stars, MIT)
- [storybook-genie](https://madewithwhat.net/ollama/project/storybook-genie/): Storybook Genie is a command line interface tool that can generate Storybook stories from React components (115 stars, MIT)
- [posh_codex](https://madewithwhat.net/ollama/project/posh-codex/): PowerShell module that enables you to use AI Code Completion in the command line. (115 stars, MIT)
- [spark-doctor](https://madewithwhat.net/ollama/project/spark-doctor/): Local diagnostic CLI for NVIDIA DGX Spark (GB10). Detects power caps, UMA pressure, thermal risk, CUDA 13/SM_121 wheel mismatches, Docker issues, and validates vLLM/Ollama/llama.cpp/SGLang recipes. (89 stars, MIT)
- [TaskWing](https://madewithwhat.net/ollama/project/taskwing/): Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture. (87 stars)
- [searchstack-aeo](https://madewithwhat.net/ollama/project/searchstack-aeo/): Searchstack — Open-source AEO/GEO/SEO tech stack for AI-native founders. Monitor your visibility across Google, AI Overviews, ChatGPT, Perplexity, Claude & Grok from one CLI. 22 commands, 9 APIs, llms.txt generator, Markdown reports, cron-ready. (86 stars, MIT)
- [ownscribe](https://madewithwhat.net/ollama/project/ownscribe/): Local-first meeting transcription and summarization CLI (85 stars, MIT)
- [Shellsage](https://madewithwhat.net/ollama/project/shellsage/): An intelligent CLI tool that intercepts terminal errors and provides instant, context-aware solutions using LLM's. Transform natural language into terminal commands and never get stuck on cryptic error messages again! Currently in early development. (77 stars, Apache-2.0)
- [ai-instagram-organizer](https://madewithwhat.net/ollama/project/ai-instagram-organizer/): AI-powered tool to organize photos into Instagram-ready posts with smart captions and hashtags. Supports both Ollama (local) and Gemini (cloud) AI providers. (76 stars, MIT)
- [blackbox](https://madewithwhat.net/ollama/project/blackbox/): The Forensic Journal for your Infrastructure. Written in Go for maximum impact with minimal footprint. (73 stars, AGPL-3.0)
- [wshm](https://madewithwhat.net/ollama/project/wshm/): AI-powered repository agent for GitHub, GitLab, Gitea, Azure DevOps. Issue triage, PR analysis, merge queue, notifications, dashboard, backup. Self-hosted, multi-provider. (71 stars)
- [pls](https://madewithwhat.net/ollama/project/pls/): Just say what you want. In your terminal. (66 stars, MIT)
- [echocut](https://madewithwhat.net/ollama/project/echocut/): Turn raw footage into brand-ready, platform-optimized video with one command. Local-first: FFmpeg + WhisperX/MLX + Ollama. (65 stars, Apache-2.0)
- [fixxer](https://madewithwhat.net/ollama/project/fixxer/): AI-powered photography workflow automation (64 stars)
- [Pinakastra](https://madewithwhat.net/ollama/project/pinakastra/): AI-powered pentesting framework with automated recon and exploitation. Multi-source subdomain discovery, active vuln testing (XSS/SQLi/SSRF/IDOR), AI-driven payload generation, local inference, structured reporting. For pentesters and bug bounty hunters. (61 stars)
- [VerbalCodeAi](https://madewithwhat.net/ollama/project/verbalcodeai/): VerbalCodeAI is a free, open-source AI tool that simplifies codebase navigation in your terminal, using Python 3.11.6 and Ollama. It indexes projects locally and quickly answers questions like “Where’s this function?”, saving developers time on debugging and onboarding. (60 stars, MIT)
- [cc-copilot-bridge](https://madewithwhat.net/ollama/project/cc-copilot-bridge/): Multi-provider routing for Claude Code CLI. Use your Copilot subscription, Ollama offline, or Anthropic Direct. (57 stars, MIT)
- [followme](https://madewithwhat.net/ollama/project/followme/): Discover, grade, follow and star GitHub repos with a local Ollama model. (56 stars)
- [spark-clean](https://madewithwhat.net/ollama/project/spark-clean/): Free, open-source macOS storage and cache cleaner built for developers. Scans Docker, Xcode, Node.js, Ollama, JetBrains, Homebrew, and more. (49 stars)
- [monan-sdk](https://madewithwhat.net/ollama/project/monan-sdk/): The native AI Agent framework for Bun. Build local-first, bare-metal agents with embedded vector search and instant API deployment. (47 stars, MIT)
- [faff](https://madewithwhat.net/ollama/project/faff/): Drop the faff, dodge the judgment. Another bloody AI commit generator, but this one stays local (47 stars, MIT)
- [AutoCommitt](https://madewithwhat.net/ollama/project/autocommitt/): A CLI tool to generate AI-powered commit messages locally with Ollama—completely free, private, and offline! (46 stars, Apache-2.0)
- [python-for-devops](https://madewithwhat.net/ollama/project/python-for-devops/): Python For DevOps [AI Edition] is a hands-on, beginner-friendly live course that teaches you the exact Python skills needed to automate real DevOps workflows, build tools, integrate with cloud services, and apply AI in day-to-day engineering tasks. (42 stars)
- [Handler](https://madewithwhat.net/ollama/project/handler/): A2A protocol client for your terminal (42 stars, GPL-3.0)
- [TraceTree](https://madewithwhat.net/ollama/project/tracetree/): TraceTree - Runtime behavioral analysis tool that maps the process cascade of suspicious packages into a directed tree, catching supply chain attacks that install-time scanners miss. (40 stars)
- [AIAssist](https://madewithwhat.net/ollama/project/aiassist/): context-aware AI coding assistant for the terminal to assist with code development, explanation, refactoring, review, debugging, and chat; compatible with both local and online language models. (40 stars, Apache-2.0)
- [ros2_info](https://madewithwhat.net/ollama/project/ros2-info/): fastfetch for ROS2 — distro info, live nodes, workspaces, web dashboard. One command. Everything you need. (40 stars, MIT)
- [whai](https://madewithwhat.net/ollama/project/whai/): Your AI terminal companion (39 stars, MIT)
- [gpu-monitor](https://madewithwhat.net/ollama/project/gpu-monitor/): Real-time performance metrics and statistics for your Nvidia GPU (37 stars, MIT)
- [coco-search](https://madewithwhat.net/ollama/project/coco-search/): Local-first hybrid semantic code search tool. Indexes codebases into PostgreSQL with pgvector embeddings via Ollama, combines vector similarity + keyword search with RRF fusion. Supports 30+ languages. Features CLI, MCP server, WEB dashboard and interactive REPL. (36 stars, MIT)
- [rolemule](https://madewithwhat.net/ollama/project/rolemule/): RoleMule — One mule for every role. Self-hosted AI job companion. Paste a posting (or Chrome extension): five agents analyze the role, score fit, research the company, write a cover letter, and produce resume tips in ~30s. Dashboard, interview prep, mock sessions, hiring outreach, six career tools, CLI. BYOK Gemini/OpenAI/Anthropic/Ollama. (36 stars, MIT)
- [AutoDescribe-Images](https://madewithwhat.net/ollama/project/autodescribe-images/): Tool to automatically generate text descriptions for images using Ollama vision models (LLaVA, Qwen3-VL, Llama Vision) (36 stars)
- [tarotui](https://madewithwhat.net/ollama/project/tarotui/): A tarot reading experience in the terminal (36 stars, MIT)
- [bankstatementparser](https://madewithwhat.net/ollama/project/bankstatementparser/): Parse bank statements — CAMT/ISO 20022, PAIN.001, CSV (EN/DE/FR/ES), OFX/QFX, MT940, PDFs (digital + scanned) — into unified Transactions. Deterministic parsers, LLM/vision fallback, Golden Rule + multi-currency + continuity verification, page provenance, dedupe, review, accuracy evals, CLI + REST API. 100% test coverage. (35 stars, Apache-2.0)
- [reviewcerberus](https://madewithwhat.net/ollama/project/reviewcerberus/): AI-powered code review tool that analyzes git branch differences and generates comprehensive review reports. Supports AWS Bedrock and Anthropic API. Features automated analysis of logic, security, performance, and code quality with smart token efficiency through prompt caching. (32 stars, MIT)
- [CodeBRT](https://madewithwhat.net/ollama/project/codebrt/): CodeBRT is an AI program generation plugin for VSCode. It helps you quickly generate code through AI, thus improving development efficiency. (31 stars, Apache-2.0)
- [nika](https://madewithwhat.net/ollama/project/nika/): Intent as Code | the workflow language for AI. One file, 4 verbs, one Rust binary. Local-first, any model, AGPL-3.0. (29 stars, AGPL-3.0)
- [ageniusdesk-ce](https://madewithwhat.net/ollama/project/ageniusdesk-ce/): The command center for n8n automation operators: multi-instance management, real-time error tracking, AI-assisted debugging, a Code Lab, and one-click container deployment. Self-hosted, source-available (MIT). (26 stars, MIT)
- [lemoncrow](https://madewithwhat.net/ollama/project/lemoncrow/): Runtime for coding agents. Honestly, get $ 30% more out of your Claude subscription. A real software engineering end to end measured. 80% reduction in input/output tokens 90% reduction in tool calls. (26 stars)
- [core](https://madewithwhat.net/ollama/project/core/): Self-hosted PaaS for private infrastructure. Deploy 200+ services on any server in one click. GPU monitoring, AI model management, VRAM checker, and MCP built in. Coolify alternative. MIT licensed. Free forever. (24 stars, MIT)
- [zenii](https://madewithwhat.net/ollama/project/zenii/): Your machine's AI brain. One 20MB binary gives every tool, script, and cron job shared AI memory + 136 API endpoints. Desktop app, CLI, Telegram — all connected. Rust-powered. (23 stars, MIT)
- [lx](https://madewithwhat.net/ollama/project/lx/): AI-native equivalents of the Unix tools you know — 72 small, composable, local-first LLM CLIs. One static Rust binary each, no API key required. (20 stars)
- [xopc](https://madewithwhat.net/ollama/project/xopc/): Local-first AI assistant for long-running goals, automations, workflows, and multi-surface chat. (20 stars, MIT)
- [sunnatbeeCLI](https://madewithwhat.net/ollama/project/sunnatbeecli/): One command, 28+ top AI CLIs — an interactive launcher for terminal AI coding agents (Claude Code, Codex, Gemini, Aider…). Uzbek & English (20 stars, MIT)

## Mobile (4)

- [runanywhere-sdks](https://madewithwhat.net/ollama/project/runanywhere-sdks/): Production ready toolkit to run AI locally (10,305 stars)
- [sample-mobile-ai-assistant](https://madewithwhat.net/ollama/project/sample-mobile-ai-assistant/): A lightning-fast, cross-platform mobile AI Assistant App built with React Native. (838 stars, MIT-0)
- [overtchat](https://madewithwhat.net/ollama/project/overtchat/): A simpler self-hosted alternative to Open WebUI. Bring your own API keys or local models. Native Android client in closed beta. (57 stars, MIT)
- [quaynor](https://madewithwhat.net/ollama/project/quaynor/): AI inference library for mobile devices (31 stars, GPL-3.0)

## Dashboards (3)

- [Frappe_Assistant_Core](https://madewithwhat.net/ollama/project/frappe-assistant-core/): Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model (270 stars, AGPL-3.0)
- [agx](https://madewithwhat.net/ollama/project/agx/): AI Powered Analytics (255 stars, MIT)
- [aspirePlayground](https://madewithwhat.net/ollama/project/aspireplayground/): Some experiments around.NET Aspire to learn. (64 stars, MIT)

## Authentication (1)

- [aidea-zotero](https://madewithwhat.net/ollama/project/aidea-zotero/): AIdea — Free AI chat in Zotero's side panel. OAuth login (no API key needed), supports OpenAI-compatible APIs and local models (Ollama, LM Studio). | AI ，Zotero ，OAuth API Key， OpenAI （Ollama、LM Studio） (77 stars, AGPL-3.0)

## Docs (1)

- [WordNest](https://madewithwhat.net/ollama/project/wordnest/): WordNest Flask，。，；AI，，。 (77 stars, MIT)

## E-commerce (1)

- [ClicShopping](https://madewithwhat.net/ollama/project/clicshopping/): ClicShopping AI(tm) is OpenSource and powerfull Solution AI e-commerce B2B / B2C / B2B-B2C agentic. The solution is based on a modern, responsive design that will allow you to have a great website on all mobile device, desktop and easy to install. (65 stars)

## Real-time (1)

- [matrix-live-diarizer](https://madewithwhat.net/ollama/project/matrix-live-diarizer/): Local-first real-time meeting transcription with speaker diarization, switchable ASR engines, and optional OpenAI-compatible LLM summaries. (34 stars, MIT)

## UI Kits (1)

- [mint](https://madewithwhat.net/ollama/project/mint/): Mint audits your legacy CSS and generates a clean, exportable design system from the chaos. (21 stars, MIT)