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GitHub · open-webui/open-webui↑ +142 today

A single interface for your AI models

open-webui is a user-friendly interface that allows interacting with AI models such as Ollama and OpenAI API. It offers a web-based interface developed to manage local or cloud-based language models.

Updates

  • October 26, 2026: Stars 155,883 → 156,766, latest release v0.12.4 (October 25, 2026).
  • October 16, 2026: Stars 155,750 → 155,883, latest release v0.12.3 (October 16, 2026).
  • October 15, 2026: Stars 154,432 → 155,750, latest release v0.12.2 (October 14, 2026).
  • October 12, 2026: Stars 154,419 → 154,432, latest release v0.12.0 (October 10, 2026).

What you get

  • You can manage all local and cloud-based AI models on a single web screen.
  • You can upload your own documents to the system to perform Q&A over your texts and search the internet.
  • You can use image generation, voice search, calendar management, and note-taking tools without leaving the chat area.

Installation

Installation with Python package manager pip
pip install open-webui

Running it

Start with software containerization tool 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

If you don't write code

Paste this into your AI agent (Claude Code · Codex · Antigravity)

I want to install Open WebUI to run local or cloud-based AI models on my computer. Explain step by step and simplifying technical terms how to complete the installation using the command `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` via the software packaging tool Docker or using the `pip install open-webui` command on the Python side, and how to access the interface from a browser.

Repository: https://github.com/open-webui/open-webui. Follow the official instructions in the README of this repository for setup and execution.

Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.

Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.

Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.

Related dictionary terms

BackendInterfaceAPIArtificial Intelligence
Who it is forIt is for anyone who wants to manage different AI models on their own computer or server from a single modern interface.

Links

TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-10-12: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.