# Made with Open WebUI > 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/ - Domain: madewithopenwebui.com - Projects indexed: 70 - Data source: GitHub (refreshed daily) - Last scraped: 2026-07-22T09:29:08.036239+00:00 ## Top projects - [mcpo](https://madewithwhat.net/open-webui/project/mcpo/): A simple, secure MCP-to-OpenAPI proxy server (4,301 stars, APIs) - [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, AI & ML) - [open-terminal](https://madewithwhat.net/open-webui/project/open-terminal/): A computer you can curl (2,851 stars, AI & ML) - [metamcp](https://madewithwhat.net/open-webui/project/metamcp/): MCP Aggregator, Orchestrator, Middleware, Gateway in one docker (2,519 stars, DevTools) - [pipelines](https://madewithwhat.net/open-webui/project/pipelines/): Pipelines: Versatile, UI-Agnostic OpenAI-Compatible Plugin Framework (2,419 stars, DevTools) - [desktop](https://madewithwhat.net/open-webui/project/desktop/): Open WebUI Desktop (2,321 stars, DevTools) - [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, AI & ML) - [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, DevTools) - [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, AI & ML) - [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, AI & ML) - [docs](https://madewithwhat.net/open-webui/project/docs/): https://docs.openwebui.com (803 stars, Docs) - [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, AI & ML) - [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, AI & ML) - [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, AI & ML) - [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, AI & ML) - [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, DevTools) - [burn-lm](https://madewithwhat.net/open-webui/project/burn-lm/): Democratizing large model inference and training on any device. (261 stars, AI & ML) - [oikb](https://madewithwhat.net/open-webui/project/oikb/): Sync anything to Open WebUI Knowledge Bases (209 stars, DevTools) - [open-webui-pipeline-for-ragflow](https://madewithwhat.net/open-webui/project/open-webui-pipeline-for-ragflow/): open-webuipipelinesopen-webuiragflowagent，。 (173 stars, AI & ML) - [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, AI & ML) - [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, AI & ML) - [OpenWebui-Tools](https://madewithwhat.net/open-webui/project/openwebui-tools/): Custom tools to enhance your Open-Webui Experience! (131 stars, AI & ML) - [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, DevTools) - [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, AI & ML) - [bot](https://madewithwhat.net/open-webui/project/bot/): beep boop (experimental) (118 stars, DevTools) - [ollama-webui-traefik-docker](https://madewithwhat.net/open-webui/project/ollama-webui-traefik-docker/): A project worth exploring. (92 stars, AI & ML) - [groundedllm](https://madewithwhat.net/open-webui/project/groundedllm/): AI agent grounded with search and extract tools to reduce hallucination. (80 stars, AI & ML) - [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, AI & ML) - [Better-Qwen3](https://madewithwhat.net/open-webui/project/better-qwen3/): Auto Thinking Mode switch for Qwen3 in Open webui (72 stars, DevTools) - [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, DevTools) ## Useful links - Full catalog, all 70 projects by category: https://madewithwhat.net/open-webui/llms-full.txt - RSS feed: https://madewithwhat.net/open-webui/rss.xml - Submit a project: https://madewithwhat.net/open-webui/submit/ - Browse categories: https://madewithwhat.net/open-webui/categories/ - Newsletter: https://madewithwhat.net/open-webui/newsletter/ ## Optional This catalog ranks open-source projects by GitHub stars. Each project page includes description, stack, languages, license, and related projects.