What do you want to do?
3 use cases
-
Run a private ChatGPT-style app for your local models
Start Open WebUI with Docker or pip and chat with Ollama models in the browser.
View prompt
Install open-webui/open-webui with Docker on this machine, connect it to my local Ollama, and confirm I can chat with <model>. Tell me where chats are stored and how to back them up.
-
Chat with your own documents using local RAG
Load documents into a chat or your library and ask questions answered from them.
View prompt
In my open-webui/open-webui, create a knowledge collection from <documents>, then answer <question> citing which document each point came from.
Quick start with Open WebUI
- Check you have what it needs: Docker, or Python with pip; Ollama for local models, or an OpenAI-compatible API key; A GPU is optional (the :cuda image uses it).
- Open open-webui/open-webui on GitHub and read the README and license.
- With Docker:
docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main - Or with Python:
pip install open-webui, thenopen-webui serve - Open http://localhost:3000 and create the admin account
- Pick an Ollama model, or add an OpenAI-compatible API in settings
These steps come from our top use case, Run a private ChatGPT-style app for your local models, which also has a copy-paste agent prompt.
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About this repo
- Who it is forIndividuals and teams who want a ChatGPT-style interface for local or cloud models on their own server.
- Why it is hot157k stars, talked about in 2 AI sources we track
- LanguagePython
- Sourcegithub.com/open-webui/open-webui · Back to Hot repos
Requirements
- Docker, or Python with pip
- Ollama for local models, or an OpenAI-compatible API key
- A GPU is optional (the :cuda image uses it)
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Questions about Open WebUI
What is Open WebUI?
Open WebUI is a self-hosted AI platform with a chat interface for Ollama and OpenAI-compatible APIs that can run entirely offline. It adds local RAG over your documents with hybrid search, web search from many providers, custom models and agents with tools and knowledge, voice and video calls, role-based access control for teams, and SQLite or PostgreSQL storage. It installs with pip, Docker or Kubernetes. It is an open-source project on GitHub: https://github.com/open-webui/open-webui.
How do I use Open WebUI?
With Docker: docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main; then Or with Python: pip install open-webui, then open-webui serve; open http://localhost:3000 and create the admin account. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Open WebUI for?
Individuals and teams who want a ChatGPT-style interface for local or cloud models on their own server.
What can I do with Open WebUI?
3 use cases so far, for example: Run a private ChatGPT-style app for your local models; Chat with your own documents using local RAG; Share one AI workspace with your team, with roles and groups. Each has steps and a copy-paste agent prompt.
What do I need to run Open WebUI?
Docker, or Python with pip; Ollama for local models, or an OpenAI-compatible API key; A GPU is optional (the :cuda image uses it).
What are alternatives to Open WebUI?
Other hot AI repos in Personal productivity: Cleanyourtv, TV Detox, DigUp, Hermes Agent, OpenClaw.
Is Open WebUI safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.