Jan - Turn your computer into an AI computer

Getting Started - Docs - Changelog - Bug reports - Discord

[!Warning] >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:

• NVIDIA GPUs (fast)
• Apple M-series (fast)
• Apple Intel
• Linux Debian
• Windows x64

Download

Version Type	Windows	MacOS		Linux
Stable (Recommended)	jan.exe	Intel	M1/M2/M3/M4	jan.deb	jan.AppImage
Beta (Preview)	jan.exe	Intel	M1/M2/M3/M4	jan.deb	jan.AppImage
Nightly Build (Experimental)	jan.exe	Intel	M1/M2/M3/M4	jan.deb	jan.AppImage

Download the latest version of Jan at https://jan.ai/ or visit the GitHub Releases to download any previous release.

Demo

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

Quicklinks

Jan

• Jan website
• Jan GitHub
• User Guides
• Developer docs
• API reference
• Specs

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
• Nitro GitHub
• Documentation
• 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:

   ps aux | grep nitro
   

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

   kill -9 <PID>
   

2. Remove Jan from your Applications folder and Cache folder

   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 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 file

Pre-requisites

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

Instructions

1. Clone the repository and prepare:

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

2. Run development and use Jan Desktop

   make dev
   

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

3. (Optional) Run the API server without frontend

   yarn dev:server
   

For production build

# 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
• LangChain
• TensorRT
• TensorRT-LLM

Contact

• Bugs & requests: file a GitHub ticket
• For discussion: join our Discord here
• For business inquiries: email hello@jan.ai
• For jobs: please email hr@jan.ai

Trust & Safety

Beware of scams.

• We will never ask you for personal info
• We are a free product; there's no paid version
• We don't have a token or ICO
• We are not actively fundraising or seeking donations

License

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