# Made with Open WebUI — full catalog

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

## About

- Gallery: https://madewithwhat.net/open-webui/
- Curated summary: https://madewithwhat.net/open-webui/llms.txt
- Projects indexed: 70
- Data source: GitHub (refreshed daily)
- Last scraped: 2026-07-22T09:29:08.036239+00:00

## AI & ML (51)

- [ODS](https://madewithwhat.net/open-webui/project/ods/): Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. (3,002 stars, Apache-2.0)
- [open-terminal](https://madewithwhat.net/open-webui/project/open-terminal/): A computer you can curl (2,851 stars, MIT)
- [openai-edge-tts](https://madewithwhat.net/open-webui/project/openai-edge-tts/): Free, high-quality text-to-speech API endpoint to replace OpenAI, Azure, or ElevenLabs (1,987 stars, GPL-3.0)
- [selfhost-ai](https://madewithwhat.net/open-webui/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)
- [llm-server-docs](https://madewithwhat.net/open-webui/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)
- [open-webui-tools](https://madewithwhat.net/open-webui/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)
- [chatterbox-tts-api](https://madewithwhat.net/open-webui/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)
- [Open-WebUI-Functions](https://madewithwhat.net/open-webui/project/open-webui-functions/): Open-WebUI-Functions is a collection of custom pipelines, filters, and integrations designed to enhance Open WebUI. These functions enable seamless interactions with Azure AI, N8N, Google Gemini and other AI models, providing dynamic request handling, preprocessing, and automation. (371 stars, Apache-2.0)
- [ProxmoxMCP-Plus](https://madewithwhat.net/open-webui/project/proxmoxmcp-plus/): Use MCP and OpenAPI to safely control Proxmox VE VMs, LXCs, backups, and snapshots from LLMs and AI agents. (326 stars, MIT)
- [burn-lm](https://madewithwhat.net/open-webui/project/burn-lm/): Democratizing large model inference and training on any device. (261 stars)
- [open-webui-pipeline-for-ragflow](https://madewithwhat.net/open-webui/project/open-webui-pipeline-for-ragflow/): open-webuipipelinesopen-webuiragflowagent，。 (173 stars, Unlicense)
- [Z.ai2api](https://madewithwhat.net/open-webui/project/z-ai2api/): Z.ai Chat OpenAI/Anthropic Compatible ，、、、；Z.ai ZtoApi z2api ZaitoApi zai X-Signature GLM 4.5 v 4.6 (154 stars, AGPL-3.0)
- [ChatOpsLLM](https://madewithwhat.net/open-webui/project/chatopsllm/): To simplify and streamline LLM operations, empowering developers and organizations to harness the full potential of large language models with ease. (140 stars, MIT)
- [OpenWebui-Tools](https://madewithwhat.net/open-webui/project/openwebui-tools/): Custom tools to enhance your Open-Webui Experience! (131 stars, MIT)
- [open-webui-embeddable-widget](https://madewithwhat.net/open-webui/project/open-webui-embeddable-widget/): Lightweight, simple embedded Open WebUI widget, allowing you to easily implement chatbot capabilities and RAG workflows into your existing tools, apps and webpages! (122 stars)
- [ollama-webui-traefik-docker](https://madewithwhat.net/open-webui/project/ollama-webui-traefik-docker/): A project worth exploring. (92 stars, MIT)
- [groundedllm](https://madewithwhat.net/open-webui/project/groundedllm/): AI agent grounded with search and extract tools to reduce hallucination. (80 stars, MIT)
- [rag-ops](https://madewithwhat.net/open-webui/project/rag-ops/): This project applies the core knowledge from the LLMOps module, including the design and implementation of the API Layer, Inference Layer, Observability Layer, Cache Layer, Guardrails Layer, Routing Layer, and the Data Ingestion Pipeline. (75 stars)
- [openwebui-langfuse](https://madewithwhat.net/open-webui/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)
- [SuperPowersWUI](https://madewithwhat.net/open-webui/project/superpowerswui/): Open WebUI tool port of Superpowers by Jesse Vincent — brainstorm → spec → plan → execute agentic dev workflow for local LLMs (62 stars, MIT)
- [open-webui-extensions](https://madewithwhat.net/open-webui/project/open-webui-extensions/): A collection of tools and filters for Open WebUI. (62 stars, MIT)
- [cto](https://madewithwhat.net/open-webui/project/cto/): cto.new Chat Oai ChatCompetition ，、、、、ID、、、kv (58 stars, MIT)
- [ollama-webui-docker](https://madewithwhat.net/open-webui/project/ollama-webui-docker/): Ollama Docker Compose Setup with WebUI and Remote Access via Cloudflare (51 stars)
- [ask-open-webui-everywhere](https://madewithwhat.net/open-webui/project/ask-open-webui-everywhere/): A browser extension that integrates Open WebUI into the side panel, enabling seamless AI interaction and Q&A with webpage content through automatic file attachments. (47 stars, MIT)
- [openwebui-generate-documents](https://madewithwhat.net/open-webui/project/openwebui-generate-documents/): Native Word (.docx) generator tool for Open WebUI — Markdown/JSON in, cover pages, styled tables, callouts, TOC out. MIT. (42 stars, MIT)
- [AGmind](https://madewithwhat.net/open-webui/project/agmind/): Private LLM/RAG platform in one command for NVIDIA DGX Spark / GB10 (arm64). Validated on real hardware. (38 stars)
- [opencode-llm-proxy](https://madewithwhat.net/open-webui/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)
- [ollama-toolkit](https://madewithwhat.net/open-webui/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)
- [openwebui-generate-slides](https://madewithwhat.net/open-webui/project/openwebui-generate-slides/): Native PowerPoint (.pptx) generator tool for Open WebUI — JSON spec in, native charts/icons/layouts out. MIT. (32 stars, MIT)
- [sample-ollama-server](https://madewithwhat.net/open-webui/project/sample-ollama-server/): Ollama on GPU EC2 instance with Open WebUI web interface and Bedrock access (29 stars, MIT-0)
- [ai-suite](https://madewithwhat.net/open-webui/project/ai-suite/): AI-Suite - n8n, OpenClaw, Open WebUI, OpenCode, Llama.cpp/Ollama, Flowise, Langfuse, MCP Gateway and more! (28 stars, Apache-2.0)
- [ConstructionAI](https://madewithwhat.net/open-webui/project/constructionai/): This repository contains projects developed to showcase how to apply Generative AI and open-source LLMs in the construction industry (27 stars)
- [open-webui-graphiti-memory](https://madewithwhat.net/open-webui/project/open-webui-graphiti-memory/): Graphiti-based knowledge graph memory extensions for Open WebUI (24 stars, MIT)
- [Mnemolis](https://madewithwhat.net/open-webui/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)
- [open-webui-memory](https://madewithwhat.net/open-webui/project/open-webui-memory/): Automatically identify, retrieve and store memories from user conversations in Open WebUI. (19 stars)
- [openwebui-plugins](https://madewithwhat.net/open-webui/project/openwebui-plugins/): Native search and retrieval tools for Open WebUI (18 stars, AGPL-3.0)
- [llm-lab](https://madewithwhat.net/open-webui/project/llm-lab/): Docker Compose to install N8N, Openweb UI, Qdrant, Ollama, EvolutionAPI, Flowise, OpenCode, Hermes-agent and many more. (18 stars, GPL-2.0)
- [Zer0Fit](https://madewithwhat.net/open-webui/project/zer0fit/): Zero-shot forecasting, tabular classification, and regression via MCP — exposes Google TimesFM 2.5 and TabFM v1.0.0 to AI assistants. Just attach a CSV and describe what you want to predict. (18 stars, Apache-2.0)
- [AGmind64](https://madewithwhat.net/open-webui/project/agmind64/): Self-hosted LLM/RAG stack in one command — AMD Strix Halo / x86_64 (ROCm/Vulkan, Docker Compose) (17 stars)
- [openwebui-ab-mcts-pipeline](https://madewithwhat.net/open-webui/project/openwebui-ab-mcts-pipeline/): Open WebUI Logic Tree Multi-Model LLM Project - Advanced AI reasoning with Sakana AI's AB-MCTS and sophisticated multi-model collaboration (16 stars, AGPL-3.0)
- [RAG-LCC](https://madewithwhat.net/open-webui/project/rag-lcc/): A hands‑on RAG experimentation lab. Largely configurable with debug insights. Classification‑driven corpus construction, filter chains, document loading, chat interaction, Open WebUI integration. Experimental by design and not production‑ready. (15 stars, MIT)
- [AGmind-macos](https://madewithwhat.net/open-webui/project/agmind-macos/): One-command local AI/RAG installer for macOS (Metal): Dify, Open WebUI, Ollama, Weaviate/Qdrant, Postgres, Redis. 230 tests. (14 stars, Apache-2.0)
- [openwebui-mcp-setup](https://madewithwhat.net/open-webui/project/openwebui-mcp-setup/): Universal MCPO/MCP bridge for Open Web UI with AI-powered configuration. Automated setup generation, Docker support, beginner-friendly. Any AI assistant can instantly convert MCP configs to working Open Web UI integrations. (14 stars)
- [open-webui-pipeline-wisdom-synthesizer](https://madewithwhat.net/open-webui/project/open-webui-pipeline-wisdom-synthesizer/): An external pipeline filter for Open WebUI that refactors aggregate requests with collective wisdom to output structured expert analysis reports. (14 stars, MIT)
- [llm-api-setup-guides](https://madewithwhat.net/open-webui/project/llm-api-setup-guides/): 47 AI API ：Claude Code、Codex CLI、Qwen Code、Gemini CLI、Cherry Studio、Dify、OpenAI Agents SDK，、、。 (13 stars, MIT)
- [open-webui-extensions](https://madewithwhat.net/open-webui/project/open-webui-extensions/): A growing collection of practical filter, pipeline & tool extensions for Open WebUI — solving real usability gaps in local & cloud LLM workflows. (12 stars, MIT)
- [open-webui-easysearch](https://madewithwhat.net/open-webui/project/open-webui-easysearch/): An intelligent, context-aware web search filter for Open WebUI. EasySearch bypasses noisy standard web scrapers, utilizing parallel fetching, structural HTML cleaning, and dynamic context-awareness to feed your LLM only the highest quality data. (12 stars, MIT)
- [gen-ai-template](https://madewithwhat.net/open-webui/project/gen-ai-template/): A template for your kickstart into GenAI! (12 stars, MIT)
- [open-webui-tools](https://madewithwhat.net/open-webui/project/open-webui-tools/): A collection of custom tools and extensions for Open WebUI that enhance its capabilities (12 stars)
- [eva-ai](https://madewithwhat.net/open-webui/project/eva-ai/): LLM powered chat interface offering limitless experience. (11 stars)
- [HomeLab_Dashboard_MCP_Integrated](https://madewithwhat.net/open-webui/project/homelab-dashboard-mcp-integrated/): The ultimate home lab dash with agentic AI features bolted in. Single sign-on, HTTPS enforced, dockerised and modular. Can be run completely offline too! (10 stars, MIT)

## DevTools (15)

- [metamcp](https://madewithwhat.net/open-webui/project/metamcp/): MCP Aggregator, Orchestrator, Middleware, Gateway in one docker (2,519 stars, MIT)
- [pipelines](https://madewithwhat.net/open-webui/project/pipelines/): Pipelines: Versatile, UI-Agnostic OpenAI-Compatible Plugin Framework (2,419 stars, MIT)
- [desktop](https://madewithwhat.net/open-webui/project/desktop/): Open WebUI Desktop (2,321 stars, AGPL-3.0)
- [open-coreui](https://madewithwhat.net/open-webui/project/open-coreui/): Open CoreUI - A rewritten Open WebUI in Rust, significantly reducing memory and resource usage, requiring no dependency services, no Docker, with both a server version and a Tauri-based desktop client. (formerly Open WebUI Lite) (1,533 stars)
- [openwebui-extensions](https://madewithwhat.net/open-webui/project/openwebui-extensions/): A collection of enhancements, plugins, and prompts for Open WebUI, developed and curated for personal use to extend functionality and improve experience. (266 stars, MIT)
- [oikb](https://madewithwhat.net/open-webui/project/oikb/): Sync anything to Open WebUI Knowledge Bases (209 stars, MIT)
- [prune-open-webui](https://madewithwhat.net/open-webui/project/prune-open-webui/): An automizable or interactive pruning tool for Open WebUI: clean up orphaned files, old chats, inactive users, stale vector data and more! (127 stars, BSD-3-Clause)
- [bot](https://madewithwhat.net/open-webui/project/bot/): beep boop (experimental) (118 stars, MIT)
- [Better-Qwen3](https://madewithwhat.net/open-webui/project/better-qwen3/): Auto Thinking Mode switch for Qwen3 in Open webui (72 stars)
- [open-webui-cost-tracker](https://madewithwhat.net/open-webui/project/open-webui-cost-tracker/): open-webui function designed to manage and calculate the costs associated with user interactions and model usage in a Open WebUI. (70 stars, MIT)
- [openclaw-open-webui-channels](https://madewithwhat.net/open-webui/project/openclaw-open-webui-channels/): OpenClaw plugin to connect with Open WebUI Channels (55 stars, MIT)
- [open-webui-n8n-pipe](https://madewithwhat.net/open-webui/project/open-webui-n8n-pipe/): Asynchronous connector linking Open-WebUI chat interfaces with n8n workflows. (39 stars, MIT)
- [open-webui-docker-extension](https://madewithwhat.net/open-webui/project/open-webui-docker-extension/): Docker Desktop extension that deploys Open WebUI with Docker Model Runner integration in one click (39 stars, Apache-2.0)
- [qt-web-extractor](https://madewithwhat.net/open-webui/project/qt-web-extractor/): Web content extraction engine backed by Qt WebEngine. (22 stars, GPL-3.0)
- [web_search](https://madewithwhat.net/open-webui/project/web-search/): SearXNG (16 stars, MIT)

## APIs (1)

- [mcpo](https://madewithwhat.net/open-webui/project/mcpo/): A simple, secure MCP-to-OpenAPI proxy server (4,301 stars, MIT)

## Docs (1)

- [docs](https://madewithwhat.net/open-webui/project/docs/): https://docs.openwebui.com (803 stars)

## Dashboards (1)

- [open-webui-analytics](https://madewithwhat.net/open-webui/project/open-webui-analytics/): Analytics dashboard for Open WebUI - Track user activity, model usage, and system metrics with Svelte frontend and Express backend (14 stars)

## UI Kits (1)

- [theme-designer-pro-presets](https://madewithwhat.net/open-webui/project/theme-designer-pro-presets/): Curated presets for Theme Designer Pro — Canvas FX animations, CSS styling, themes, and gradients for Open WebUI (10 stars, MIT)