Open WebUI

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

152948 stars · 22373 forks observed · 2026-09-24

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Open WebUI is a self‑hosted, web‑based interface for interacting with large language models. It supports local Ollama models, OpenAI‑compatible APIs, plugins, RAG and multi‑user RBAC out of the box.

Use cases

• Run a private LLM chat interface on my own hardware
• Add custom tools and plugins to extend model capabilities
• Integrate multiple AI providers (Ollama, OpenAI, Anthropic) in a single UI
• Enable RAG workflows with document retrieval for internal knowledge bases
• Provide role‑based access to AI resources for a team or organization
• Deploy a scalable AI service using Docker or Kubernetes

When to choose

• You need a fully self‑hosted, UI‑driven platform for LLMs with no reliance on external SaaS.
• You want to mix local and cloud model providers behind a single interface.
• You require extensibility via Python plugins, tools, or custom agents.
• Your deployment must run offline or in air‑gapped environments.

When to avoid

• You only need a lightweight CLI client without a web UI.
• You prefer a managed SaaS solution with built‑in scaling and support.
• Your environment cannot run Docker/Kubernetes or Python runtime.
• You need deep integration with non‑LLM services that are not supported via plugins.

Facets

application · maturity active

web-framework api-framework llm-inference rag chatbot plugin-system auth authorization artificial-intelligence large-language-models chatbots windows cli self-hosted open-source offline ollama-support openai-compatible rbac extensible community-plugins retrieval-augmented-generation linux macos docker kubernetes web-server desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="open-webui/open-webui")