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Open WebUI

A self-hosted AI workspace for local models and OpenAI-compatible services.

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Open WebUI is a self-hosted AI platform that runs offline and connects to local models through Ollama or to OpenAI-compatible APIs.

Deployment
Self-hosted
Platforms
Web, Windows, macOS, Linux
157,949stars22,954forks
1views
Updated

What is Open WebUI?

Open WebUI is a self-hosted AI interface that connects local models through Ollama and local or cloud models through OpenAI-compatible APIs. It brings conversations, knowledge bases, prompts and tools into a shared workspace. Its tabbed interface can keep files, previews, artifacts and terminal sessions alongside a conversation.

Deployment options include Python installation, Docker and a separately installed desktop app for Windows, macOS and Linux. The platform is designed to support entirely offline operation, but this requires local model services and appropriately configured dependencies. The lightweight container image instead uses external services for embeddings, document extraction and voice.

Optional Open Terminal connections extend the workspace with terminal, desktop and browser interactions. Desktop control requires a connection with desktop support enabled; browser automation requires compatible terminal support and Chrome availability. The repository also specifies licensing terms that require preserving Open WebUI branding.

Inside the application

Open WebUI screenshots

Explore the interface. Open a screenshot to view it at full size.

Open WebUI screenshot 1
Open WebUI screenshot 1

Source: official Open WebUI project page.

Key capabilities

  • A self-hosted web interface that runs entirely offline.
  • Connections to Ollama and to OpenAI-compatible APIs.
  • Install by pip, Docker or a native desktop app for macOS, Windows and Linux.
  • Docker images for standard, slim, CUDA and Ollama-bundled setups.
  • Options for GPU access and offline Hugging Face mode.
  • Enterprise options listed on the project site.
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Where Open WebUI fits

Open WebUI fits local AI environments and internally operated workspaces where developers and IT teams need an interface across model backends. Conversations can sit alongside working files for coding, data analysis and document review. Knowledge bases provide a place to organize documents used in AI workflows.

Before deployment, operators should verify model connectivity, local dependencies, storage configuration and user permissions. Offline deployments need a configuration that avoids external model and supporting services. Teams enabling computer-use workflows should check Open Terminal capabilities, model tool-calling support and approval controls. Licensing and branding requirements also need review before customization or redistribution.

Install

pip install open-webui

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