Open WebUI

Open WebUI is a self-hosted front end for AI models that is built to run entirely offline. Point it at local Ollama models, at any OpenAI-compatible endpoint, or at several at once, and the interface stops being tied to whichever provider you happened to start with.

Setup runs through pip, uv, Docker or Kubernetes with kubectl, kustomize or helm, and tagged images exist for Ollama and CUDA deployments. It is also a progressive web app, so one deployment serves desktop, laptop and mobile with offline access on localhost.

The feature surface reaches well past a chat box.

• Retrieval: local RAG backed by nine vector databases, several extraction engines, hybrid search with reranking, and web search across dozens of providers.
• Plugins: filters, actions, pipes, tools and skills extend it, with MCP and OpenAPI tool servers connecting external services.
• Permissions: role-based access control with groups gives each user exactly the reach an administrator intends.
• Agents and memory: any base model can be wrapped with instructions, tools and knowledge, and the assistant remembers facts between conversations.
• Workspaces: notes with AI rewriting, shared channels, a calendar the models manage conversationally, and recurring automations.

Voice and video calls run through several speech engines, images are generated and edited with local or hosted backends, and a key-value storage API keeps artifacts such as journals, trackers and leaderboards. Markdown and LaTeX render throughout. It suits a team that wants one interface over many models without sending conversations anywhere it does not control.