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import { TopBanners } from "@site/src/components/TopBanners";
import { SponsorList } from "@site/src/components/SponsorList";

# Open WebUI


**Open WebUI is an [extensible](https://docs.openwebui.com/features/plugin/), feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline.** It supports various LLM runners like **Ollama** and **OpenAI-compatible APIs**, with **built-in inference engine** for RAG, making it a **powerful AI deployment solution**.

![GitHub stars](https://img.shields.io/github/stars/open-webui/open-webui?style=social)
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[![Discord](https://img.shields.io/badge/Discord-Open_WebUI-blue?logo=discord&logoColor=white)](https://discord.gg/5rJgQTnV4s)
[![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/tjbck)

![Open WebUI Demo](/images/demo.gif)


## Quick Start with Docker 🐳

**If Ollama is on your computer**, use this command:

```bash
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
```

**To run Open WebUI with Nvidia GPU support**, use this command:

```bash
docker run -d -p 3000:8080 --gpus all --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:cuda
```

### Open WebUI Bundled with Ollama

This installation method uses a single container image that bundles Open WebUI with Ollama, allowing for a streamlined setup via a single command. Choose the appropriate command based on your hardware setup:

- **With GPU Support**:
  Utilize GPU resources by running the following command:

  ```bash
  docker run -d -p 3000:8080 --gpus=all -v ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:ollama
  ```

- **For CPU Only**:
  If you're not using a GPU, use this command instead:

  ```bash
  docker run -d -p 3000:8080 -v ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:ollama
  ```

Both commands facilitate a built-in, hassle-free installation of both Open WebUI and Ollama, ensuring that you can get everything up and running swiftly.

After installation, you can access Open WebUI at [http://localhost:3000](http://localhost:3000). Enjoy! 😄

### Using the Dev Branch 🌙

:::warning
The `:dev` branch contains the latest unstable features and changes. Use it at your own risk as it may have bugs or incomplete features.
:::

If you want to try out the latest bleeding-edge features and are okay with occasional instability, you can use the `:dev` tag like this:

```bash
docker run -d -p 3000:8080 -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:dev
```

### Updating Open WebUI

To update Open WebUI container easily, follow these steps:

#### Manual Update
Use [Watchtower](https://containrrr.dev/watchtower) to update your Docker container manually:
```bash
docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower --run-once open-webui
```

#### Automatic Updates
Keep your container updated automatically every 5 minutes:
```bash
docker run -d --name watchtower --restart unless-stopped -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower --interval 300 open-webui
```

🔧 **Note**: Replace `open-webui` with your container name if it's different.

## Manual Installation

There are two main ways to install and run Open WebUI: using the `uv` runtime manager or Python's `pip`. While both methods are effective, **we strongly recommend using `uv`** as it simplifies environment management and minimizes potential conflicts.

### Installation with `uv` (Recommended)

The `uv` runtime manager ensures seamless Python environment management for applications like Open WebUI. Follow these steps to get started:

#### 1. Install `uv`

Pick the appropriate installation command for your operating system:

- **macOS/Linux**:  
  ```bash
  curl -LsSf https://astral.sh/uv/install.sh | sh
  ```

- **Windows**:  
  ```powershell
  powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
  ```

#### 2. Run Open WebUI

Once `uv` is installed, running Open WebUI is a breeze. Use the command below, ensuring to set the `DATA_DIR` environment variable to avoid data loss. Example paths are provided for each platform:

- **macOS/Linux**:  
  ```bash
  DATA_DIR=~/.open-webui uvx --python 3.11 open-webui@latest serve
  ```

- **Windows**:  
  ```powershell
  $env:DATA_DIR="C:\open-webui\data"; uvx --python 3.11 open-webui@latest serve
  ```



### Installation with `pip`

For users installing Open WebUI with Python's package manager `pip`, **it is strongly recommended to use Python runtime managers like `uv` or `conda`**. These tools help manage Python environments effectively and avoid conflicts. 

Python 3.11 is the development environment. Python 3.12 seems to work but has not been thoroughly tested. Python 3.13 is entirely untested—**use at your own risk**.

1. **Install Open WebUI**:  

   Open your terminal and run the following command:  
   ```bash
   pip install open-webui
   ```

2. **Start Open WebUI**:  

   Once installed, start the server using:  
   ```bash
   open-webui serve
   ```

### Updating Open WebUI

To update to the latest version, simply run:  

```bash
pip install --upgrade open-webui
```

This method installs all necessary dependencies and starts Open WebUI, allowing for a simple and efficient setup. After installation, you can access Open WebUI at [http://localhost:8080](http://localhost:8080). Enjoy! 😄

## Other Installation Methods

We offer various installation alternatives, including non-Docker native installation methods, Docker Compose, Kustomize, and Helm. Visit our [Open WebUI Documentation](https://docs.openwebui.com/getting-started/) or join our [Discord community](https://discord.gg/5rJgQTnV4s) for comprehensive guidance.

Continue with the full [getting started guide](/getting-started).

## Sponsors 🙌

<TopBanners />

<SponsorList />


We are incredibly grateful for the generous support of our sponsors. Their contributions help us to maintain and improve our project, ensuring we can continue to deliver quality work to our community. Thank you!

