jan
Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. Multiple engine support (llama.cpp, TensorRT-LLM)
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Jan is an open-source ChatGPT alternative that runs 100% offline on your computer. It supports universal architectures, including Nvidia GPUs, Apple M-series, Apple Intel, Linux Debian, and Windows x64. Jan is currently in development, so expect breaking changes and bugs. It is lightweight and embeddable, and can be used on its own within your own projects.
README:
Getting Started - Docs - Changelog - Bug reports - Discord
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:
- [x] NVIDIA GPUs (fast)
- [x] Apple M-series (fast)
- [x] Apple Intel
- [x] Linux Debian
- [x] Windows x64
- 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
Version Type | Windows | MacOS Universal | Linux | |
Stable (Recommended) | jan.exe | jan.dmg | jan.deb | jan.AppImage |
Beta (Preview) | jan.exe | jan.dmg | jan.deb | jan.AppImage |
Nightly Build (Experimental) | jan.exe | jan.dmg | jan.deb | jan.AppImage |
Download the latest version of Jan at https://jan.ai/ or visit the GitHub Releases to download any previous release.
https://github.com/user-attachments/assets/c3592fa2-c504-4d9d-a885-7e00122a50f3
Real-time Video: Jan v0.5.7 on a Mac M2, 16GB Sonoma 14.2
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
- 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
- glibc 2.27 or higher (check with
As Jan is in development mode, you might get stuck on a some common issues:
If you can't find what you need in our troubleshooting guide, feel free reach out to us for extra help:
- Copy your error logs & device specifications.
- 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.
Contributions are welcome! Please read the CONTRIBUTING.md file
- node >= 20.0.0
- yarn >= 1.22.0
- make >= 3.81
-
Clone the repository and prepare:
git clone https://github.com/janhq/jan cd jan git checkout -b DESIRED_BRANCH
-
Run development and use Jan Desktop
make dev
This will start the development server and open the desktop app.
# 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.
Jan builds on top of other open-source projects:
- Bugs & requests: file a GitHub ticket
- For discussion: join our Discord here
- For business inquiries: email [email protected]
- For jobs: please email [email protected]
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.
Jan is free and open source, under the AGPLv3 license.
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