jan/README.md

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# Jan - Bring AI to your Desktop
![Jan banner](https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e)
<p align="center">
<!-- ALL-CONTRIBUTORS-BADGE:START - Do not remove or modify this section -->
<img alt="GitHub commit activity" src="https://img.shields.io/github/commit-activity/m/janhq/jan"/>
<img alt="Github Last Commit" src="https://img.shields.io/github/last-commit/janhq/jan"/>
<img alt="Github Contributors" src="https://img.shields.io/github/contributors/janhq/jan"/>
<img alt="GitHub closed issues" src="https://img.shields.io/github/issues-closed/janhq/jan"/>
<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 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/v0.4.3/jan-win-x64-0.4.3.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/v0.4.3/jan-mac-x64-0.4.3.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/v0.4.3/jan-mac-arm64-0.4.3.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/v0.4.3/jan-linux-amd64-0.4.3.deb'>
<img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
<b>jan.deb</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/0.4.3-118/jan-win-x64-0.4.3-118.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/0.4.3-118/jan-mac-x64-0.4.3-118.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/0.4.3-118/jan-mac-arm64-0.4.3-118.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/0.4.3-118/jan-linux-amd64-0.4.3-118.deb'>
<img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
<b>jan.deb</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`
## 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.
## 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.