Open WebUI: Self-Hosted AI Platform

Open WebUI is an extensible, feature-rich, self-hosted AI platform that allows users to run and interact with large language models (LLMs) entirely offline or via APIs, prioritizing privacy and control.

🚀 Overview

Open WebUI provides a user-friendly web interface for self-hosted AI, enabling seamless integration with local runners like Ollama and cloud APIs like OpenAI, Anthropic, or any compatible service. It solves the problem of dependency on proprietary cloud AI services by offering full ownership, data privacy, and customization without compromises. Users can extend functionality with Python, leverage community-shared prompts, models, and tools, and scale from personal laptops to enterprise deployments.

It's built for developers, AI enthusiasts, and organizations—from startups to global enterprises—who want to run AI on their own infrastructure. The project empowers self-sufficiency in AI, supporting voice, vision, RAG, and more out of the box. Mission: "Open WebUI is being built so everyone can run AI for themselves. Not rent it. Not depend on it. Own it."

✨ Key Features

Seamless integration with Ollama, OpenAI-compatible APIs (LM Studio, Groq, etc.), and bundled Ollama support for easy local setups.
Advanced RAG with 9 vector databases (ChromaDB, PGVector, etc.), web search (15+ providers), and document loaders for knowledge retrieval.
Multimodal capabilities: hands-free voice/video calls (Whisper, ElevenLabs, etc.), image generation/editing (DALL-E, ComfyUI, Stable Diffusion).
Enterprise-ready: RBAC, SSO (OAuth, LDAP/AD, SCIM), audit logs, horizontal scalability with Redis/WebSockets.
Extensibility: Python function calling, Pipelines plugin framework, model builder, PWA for mobile.
Optional: Community marketplace for prompts/tools, multilingual support, OpenTelemetry observability.

🛠 Tech Stack

Frontend: Svelte, JavaScript, TypeScript, CSS
Backend: Python
Database: SQLite (encrypted option), PostgreSQL, Redis (sessions/scalability)
Auth: OAuth providers, LDAP/Active Directory, SCIM 2.0, trusted headers
Hosting: Docker, Kubernetes (kubectl/Helm), self-hosted (local/cloud)

👥 Who Is This For?

This project is useful for:

Developers who want to deploy and experiment with local LLMs privately
Teams looking for collaborative AI tools with granular permissions and RAG
Indie makers building custom AI agents, pipelines, and extensions

📸 Screenshots / Demo

Live demo: https://openwebui.com (explore community models/prompts)
GitHub: https://github.com/open-webui/open-webui

🔥 Project Status

🟢 Actively building

Last updated: 2026-03-24

❓ FAQ

Is this project free?

Yes — fully free and open source for self-hosting. Enterprise support and features available via contact.

Is the source code available?

Yes — https://github.com/open-webui/open-webui

Can I contribute?

Yes — open issues/PRs on GitHub, contribute translations, plugins via Pipelines framework, or share prompts/models/tools in the community marketplace.