Open WebUI
Self-hosted ChatGPT alternative — supports all major LLMs, RAG, and multi-user
📋 Overview
Open WebUI is the most popular self-hosted AI interface — a ChatGPT-like web UI that connects to Ollama, OpenAI, Anthropic, Gemini, and 20+ other providers through a single interface. Unlike commercial alternatives (ChatGPT Plus, Claude.ai), it provides full data sovereignty, multiplayer roles, workspace organization, built-in RAG with document upload, and web search integration. The interface supports model switching mid-conversation, code execution sandboxes, custom function calling, and a plugin system for extending functionality. MIT licensed with 100% free self-hosting and no usage caps.
✨ Key Features
- •145K+ GitHub stars — most popular self-hosted AI interface
- •20+ model providers: Ollama, OpenAI, Anthropic, Gemini, Mistral, Groq, etc.
- •Built-in RAG: document upload, vector search, knowledge base organization
- •Multi-user RBAC: admin, user, pending roles with workspace isolation
- •Web search integration: SearXNG, Brave, Perplexity, DuckDuckGo
- •Plugin system: custom functions, code execution, UI extensions
- •Model switching mid-conversation without losing context
🎯 The Problem It Solves
Teams that want ChatGPT-level UX without sending proprietary data to cloud providers need a self-hosted alternative that supports multiple LLMs, enables multi-user collaboration, and provides enterprise features without per-seat licensing.
🔧 How It Works
Deployed via Docker or pip, Open WebUI connects to any LLM backend through OpenAI-compatible APIs or native integrations (Ollama, Anthropic SDK, Google AI Studio, etc.). Documents are ingested into a vector DB (built-in or external) for RAG retrieval. User roles (admin, user, pending) control access, and workspaces organize models, prompts, and knowledge bases. Web search (SearXNG, Brave, Perplexity) and code execution (Pyodide) are optional plugins.
🚀 Installation & Quick Start
Installation
docker run -d -p 3000:8080 -v open-webui:/app/backend/data --name open-webui ghcr.io/open-webui/open-webui:mainQuick Start
- Install Ollama first
- docker run -d -p 3000:8080 --link ollama ghcr.io/open-webui/open-webui:main
- Open localhost:3000
- Add your models in settings
✅ Pros
- •Best self-hosted ChatGPT alternative with production-ready UX
- •One UI for all LLMs — switch providers without leaving the interface
- •Built-in RAG with document upload and knowledge base organization
- •Multi-user RBAC and workspace isolation for teams
- •Web search, code execution, and tool calling via plugins
- •MIT licensed — no paid tier, no usage caps, no vendor lock-in
- •Active development with weekly releases and responsive Discord
❌ Cons
- •Self-hosting requires infrastructure (GPU for local LLMs)
- •Built-in RAG is basic — no reranking, hybrid search, or advanced chunking
- •Performance tied entirely to your chosen LLM backend
- •No mobile app — web-only interface
- •No native SSO/LDAP on self-hosted (available in Enterprise fork)
💬 Practitioner Verdict
“Open WebUI is the default self-hosted AI interface — the UX rivals ChatGPT, the multi-user RBAC is production-ready, and the plugin system keeps it extensible. The trade-off: self-hosting requires infrastructure, the RAG is basic compared to specialized vector DBs, and model performance depends entirely on your backend choice. For teams that want one UI for all their AI interactions without data leaving their network, Open WebUI is the obvious choice.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
Deployment Options
Ways to run Open WebUI in production
📊 Specifications
- Language
- TypeScript + Python
- License
- MIT
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free and open source under MIT license. No paid tier, no usage caps, no enterprise upsell. Self-hosting costs are only infrastructure (CPU for small models, GPU for local inference). Compatible with both local Ollama and cloud API providers.