# Jan - Bring AI to your Desktop

![Jan banner](https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e)

<p align="center">
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  <img alt="Discord" src="https://img.shields.io/discord/1107178041848909847?label=discord"/>
</p>

<p align="center">
  <a href="https://jan.ai/guides">Getting Started</a> 
  - <a href="https://jan.ai/docs">Docs</a> 
  - <a href="https://github.com/janhq/jan/releases">Changelog</a> 
  - <a href="https://github.com/janhq/jan/issues">Bug reports</a> 
  - <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
</p>

> ⚠️ **Jan is currently in Development**: Expect breaking changes and bugs!

Jan is an open-source ChatGPT alternative that runs 100% offline on your computer.

**Jan runs on any hardware.** From PCs to multi-GPU clusters, Jan supports universal architectures:

- [x] Nvidia GPUs (fast)
- [x] Apple M-series (fast)
- [x] Apple Intel
- [x] Linux Debian
- [x] Windows x64

## Download

<table>
  <tr style="text-align:center">
    <td style="text-align:center"><b>Version Type</b></td>
    <td style="text-align:center"><b>Windows</b></td>
    <td colspan="2" style="text-align:center"><b>MacOS</b></td>
    <td colspan="2" style="text-align:center"><b>Linux</b></td>
  </tr>
  <tr style="text-align:center">
    <td style="text-align:center"><b>Stable (Recommended)</b></td>
    <td style="text-align:center">
      <a href='https://github.com/janhq/jan/releases/download/v0.4.6/jan-win-x64-0.4.6.exe'>
        <img src='./docs/static/img/windows.png' style="height:14px; width: 14px" />
        <b>jan.exe</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://github.com/janhq/jan/releases/download/v0.4.6/jan-mac-x64-0.4.6.dmg'>
        <img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
        <b>Intel</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://github.com/janhq/jan/releases/download/v0.4.6/jan-mac-arm64-0.4.6.dmg'>
        <img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
        <b>M1/M2</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://github.com/janhq/jan/releases/download/v0.4.6/jan-linux-amd64-0.4.6.deb'>
        <img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
        <b>jan.deb</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://github.com/janhq/jan/releases/download/v0.4.6/jan-linux-x86_64-0.4.6.AppImage'>
        <img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
        <b>jan.AppImage</b>
      </a>
    </td>
  </tr>
  <tr style="text-align:center">
    <td style="text-align:center"><b>Experimental (Nightly Build)</b></td>
    <td style="text-align:center">
      <a href='https://delta.jan.ai/latest/jan-win-x64-0.4.6-263.exe'>
        <img src='./docs/static/img/windows.png' style="height:14px; width: 14px" />
        <b>jan.exe</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://delta.jan.ai/latest/jan-mac-x64-0.4.6-263.dmg'>
        <img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
        <b>Intel</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://delta.jan.ai/latest/jan-mac-arm64-0.4.6-263.dmg'>
        <img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
        <b>M1/M2</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://delta.jan.ai/latest/jan-linux-amd64-0.4.6-263.deb'>
        <img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
        <b>jan.deb</b>
      </a>
    </td>
    <td style="text-align:center">
      <a href='https://delta.jan.ai/latest/jan-linux-x86_64-0.4.6-263.AppImage'>
        <img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
        <b>jan.AppImage</b>
      </a>
    </td>
  </tr>
</table>

Download the latest version of Jan at https://jan.ai/ or visit the **[GitHub Releases](https://github.com/janhq/jan/releases)** to download any previous release.

## Demo

![Demo](/demo.gif)

_Realtime Video: Jan v0.4.3-nightly on a Mac M1, 16GB Sonoma 14_

## Quicklinks

#### Jan

- [Jan website](https://jan.ai/)
- [Jan GitHub](https://github.com/janhq/jan)
- [User Guides](https://jan.ai/guides/)
- [Developer docs](https://jan.ai/developer/)
- [API reference](https://jan.ai/api-reference/)
- [Specs](https://jan.ai/docs/)

#### Nitro

Nitro is a high-efficiency C++ inference engine for edge computing. It is lightweight and embeddable, and can be used on its own within your own projects.

- [Nitro Website](https://nitro.jan.ai)
- [Nitro GitHub](https://github.com/janhq/nitro)
- [Documentation](https://nitro.jan.ai/docs)
- [API Reference](https://nitro.jan.ai/api-reference)

## Troubleshooting

As Jan is in development mode, you might get stuck on a broken build.

To reset your installation:

1. Use the following commands to remove any dangling backend processes:

   ```sh
   ps aux | grep nitro
   ```

   Look for processes like "nitro" and "nitro_arm_64," and kill them one by one with:

   ```sh
   kill -9 <PID>
   ```

2. **Remove Jan from your Applications folder and Cache folder**

   ```bash
   make clean
   ```

   This will remove all build artifacts and cached files:

   - Delete Jan extension from your `~/jan/extensions` folder
   - Delete all `node_modules` in current folder
   - Clear Application cache in `~/Library/Caches/jan`

## Requirements for running Jan
- MacOS: 13 or higher
- Windows:
  - Windows 10 or higher
  - To enable GPU support:
    - Nvidia GPU with CUDA Toolkit 11.7 or higher
    - Nvidia driver 470.63.01 or higher
- Linux:
  - glibc 2.27 or higher (check with `ldd --version`)
  - gcc 11, g++ 11, cpp 11 or higher, refer to this [link](https://jan.ai/guides/troubleshooting/gpu-not-used/#specific-requirements-for-linux) for more information
  - To enable GPU support:
    - Nvidia GPU with CUDA Toolkit 11.7 or higher
    - Nvidia driver 470.63.01 or higher

## Contributing

Contributions are welcome! Please read the [CONTRIBUTING.md](CONTRIBUTING.md) file

### Pre-requisites

- node >= 20.0.0
- yarn >= 1.22.0
- make >= 3.81

### Instructions

1. **Clone the repository and prepare:**

    ```bash
    git clone https://github.com/janhq/jan
    cd jan
    git checkout -b DESIRED_BRANCH
    ```

2. **Run development and use Jan Desktop**

    ```bash
    make dev
    ```

This will start the development server and open the desktop app.

### For production build

```bash
# Do steps 1 and 2 in the previous section
# Build the app
make build
```

This will build the app MacOS m1/m2 for production (with code signing already done) and put the result in `dist` folder.

### Docker mode

- Supported OS: Linux, WSL2 Docker
- Pre-requisites:
  - `docker` and `docker compose`, follow instruction [here](https://docs.docker.com/engine/install/ubuntu/)

    ```bash
    curl -fsSL https://get.docker.com -o get-docker.sh
    sudo sh ./get-docker.sh --dry-run
    ```

  - `nvidia docker`, follow instruction [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) (If you want to run with GPU mode)

- Run Jan in Docker mode

    ```bash
    # CPU mode
    docker compose --profile cpu up

    # GPU mode
    docker compose --profile gpu up
    ```

  This will start the web server and you can access Jan at `http://localhost:3000`.

## Acknowledgements

Jan builds on top of other open-source projects:

- [llama.cpp](https://github.com/ggerganov/llama.cpp)
- [TensorRT](https://github.com/NVIDIA/TensorRT)

## Contact

- Bugs & requests: file a GitHub ticket
- For discussion: join our Discord [here](https://discord.gg/FTk2MvZwJH)
- For business inquiries: email hello@jan.ai
- For jobs: please email hr@jan.ai

## License

Jan is free and open source, under the AGPLv3 license.