Open WebUI is an open source, self-hosted AI chat interface — a ChatGPT alternative that runs entirely offline and puts Ollama and any OpenAI-compatible model behind one polished UI, with built-in RAG, web search, and multi-user access control.

What is Open WebUI?

Open WebUI is a self-hosted web interface for chatting with large language models. It describes itself as “an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline.” In practice it gives you a ChatGPT-style UI that talks to local models through Ollama and to any OpenAI-compatible API, so you bring your own models and keys instead of paying for one vendor’s app. It adds document chat (RAG), web search, image generation, and full multi-user access control on top.

What is Open WebUI best for?

Open WebUI is best for people running local models who want a private, polished chat front end without sending data to a cloud. It fits self-hosters pairing it with Ollama on their own hardware, teams that want one shared interface across several model providers with per-user accounts and permissions, and privacy-sensitive setups that need to run fully offline on infrastructure they control.

What can Open WebUI do?

Connect local and cloud models — talk to Ollama-hosted local models and any OpenAI-compatible endpoint (LM Studio, Groq, Mistral, OpenRouter, and more), switch models mid-chat, and run several models side by side in one conversation.
Chat over your documents (RAG) — upload files or build a knowledge library and ask questions against them, with a choice of vector databases for embeddings.
Search the web — pull in live results through 15+ supported search providers.
Generate images — wire up DALL·E, ComfyUI, or Gemini for in-chat image creation.
Manage users and access — role-based access control with granular permissions, plus enterprise auth via LDAP, OAuth/SSO, and SCIM 2.0.
Extend it — a Pipelines and Functions plugin framework, native tool calling, and Model Context Protocol (MCP) tools through the mcpo proxy.
Use voice and speech — voice and video calling with multiple speech-to-text providers, plus text-to-speech.
Deploy your way — install with Docker, pip, or Kubernetes; runs as a responsive PWA on mobile, with OpenTelemetry and Redis for horizontal scaling and 50+ interface languages.

Where does Open WebUI fall short?

It’s not strictly OSI open source. Through v0.6.5 the project was plain BSD-3-Clause, but since v0.6.6 (April 2025) it uses a modified BSD-3 license with a branding-protection clause. You can’t remove or alter the “Open WebUI” branding unless your deployment stays under 50 users in any rolling 30-day window, you’re an approved contributor, or you hold an enterprise license.
It’s a front end, not a model host. Open WebUI doesn’t run the language models itself — you still need Ollama or an external API for inference. Production multi-user use also means you manage the database, authentication, and upgrades yourself.
The feature density adds complexity. With RAG, web search, image tools, plugins, and RBAC all in one app, configuration can feel heavier than a minimal chat UI, and getting every integration dialed in takes some setup.

Is Open WebUI free?

Yes — Open WebUI is free to self-host, and you pay only for your own server and any model API calls you make. Point it at a local model through Ollama and those conversations cost nothing beyond your hardware. There’s a paid Enterprise plan for organizations that need custom branding, SLA support, and Long-Term Support (LTS) releases, but the self-hosted software itself is free.

What does Open WebUI replace?

Open WebUI is most often used as a ChatGPT alternative — a self-hostable interface where you bring your own keys and reach many models instead of paying for ChatGPT Plus and using one vendor’s models. It overlaps with other open source chat front ends like LibreChat and LobeChat; Open WebUI’s standout traits are its tight Ollama integration, offline-first design, and deep built-in RAG and web search.

FAQ

Is Open WebUI open source? Mostly. Its base is the permissive BSD-3-Clause license, but releases from v0.6.6 onward add a branding-protection clause, so it’s best described as source-available rather than strictly OSI-approved. The full code is public on GitHub and free to self-host.

Can I self-host Open WebUI for free? Yes. You can run it free with Docker, pip (Python 3.11), or Kubernetes on your own server. The software is free; you pay only for infrastructure and any model API keys you connect.

Do I need Ollama to use Open WebUI? No. Ollama is the easiest way to run local models, but Open WebUI also works with any OpenAI-compatible API, so you can point it at cloud providers or a self-hosted inference server instead.

What do I need to run Open WebUI? Docker (or Python 3.11 for the pip install), plus a model source — either a running Ollama instance or at least one OpenAI-compatible API key. A GPU is optional and only speeds up local inference.