Jan - Local AI Assistant

Getting Started - Docs - Changelog - Bug reports - Discord

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

Jan is a ChatGPT-alternative that runs 100% offline on your device. Our goal is to make it easy for a layperson to download and run LLMs and use AI with full control and privacy.

Jan is powered by Cortex, our embeddable local AI engine that runs on any hardware. From PCs to multi-GPU clusters, Jan & Cortex supports universal architectures:

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

Features:

• Model Library with popular LLMs like Llama, Gemma, Mistral, or Qwen
• Connect to Remote AI APIs like Groq and OpenRouter
• Local API Server with OpenAI-equivalent API
• Extensions for customizing Jan

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

Jan.Demo.README.mp4

Real-time Video: Jan v0.5.7 on a Mac M2, 16GB Sonoma 14.2

Quicklinks

Jan

• Jan Website
• Jan GitHub
• Documentation
• Jan Changelog
• Jan Blog

Cortex.cpp

Jan is powered by Cortex.cpp. It is a C++ command-line interface (CLI) designed as an alternative to Ollama. By default, it runs on the llama.cpp engine but also supports other engines, including ONNX and TensorRT-LLM, making it a multi-engine platform.

• Cortex Website
• Cortex GitHub
• Documentation
• Models Library
• API Reference: Under development

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

Troubleshooting

As Jan is in development mode, you might get stuck on a some common issues:

• Troubleshooting a broken build
• Troubleshooting NVIDIA GPU
• Troubleshooting Something's Amiss

If you can't find what you need in our troubleshooting guide, feel free reach out to us for extra help:

1. Copy your error logs & device specifications.
2. Go to our Discord & send it to #🆘|get-help channel for further support.

Check the logs to ensure the information is what you intend to send. Note that we retain your logs for only 24 hours, so report any issues promptly.

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.

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 [email protected]
• For jobs: please email [email protected]

Trust & Safety

Beware of scams!

• We will never request your personal information.
• Our product is completely free; no paid version exists.
• We do not have a token or ICO.
• We are a bootstrapped company, and don't have any external investors (yet). We're open to exploring opportunities with strategic partners want to tackle our mission together.

License

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