dcffa4fa0a
* Improve Llama.cpp model path handling and validation This commit refactors the load_llama_model function to improve how it handles and validates the model path. Previously, the function extracted the model path but did not perform any validation. This change adds the following improvements: It now checks for the presence of the -m flag. It verifies that a path is provided after the -m flag. It validates that the specified model path actually exists on the filesystem. It ensures that the SessionInfo struct stores the canonical display path of the model, which is a more robust approach. These changes make the model loading process more reliable and provide better error handling for invalid or missing model paths. * Exp: Use short path on Windows * Fix: Remove error channel and handling in llama.cpp server loading The previous implementation used a channel to receive error messages from the llama.cpp server's stdout. However, this proved unreliable as the path names can contain 'errors strings' that we use to check even during normal operation. This commit removes the error channel and associated error handling logic. The server readiness is still determined by checking for the "server is listening" message in stdout. Errors are now handled by relying on the process exit code and capturing the full stderr output if the process fails to start or exits unexpectedly. This approach provides a more robust and accurate error detection mechanism. * Add else block in Windows path handling * Add some path related tests * Fix windows tests
Jan - Local AI Assistant
Getting Started - Docs - Changelog - Bug reports - Discord
Jan is an AI assistant that can run 100% offline on your device. Download and run LLMs with full control and privacy.
Installation
The easiest way to get started is by downloading one of the following versions for your respective operating system:
| Platform | Stable | Nightly |
| Windows | jan.exe | jan.exe |
| macOS | jan.dmg | jan.dmg |
| Linux (deb) | jan.deb | jan.deb |
| Linux (AppImage) | jan.AppImage | jan.AppImage |
Download from jan.ai or GitHub Releases.
Features
- Local AI Models: Download and run LLMs (Llama, Gemma, Qwen, etc.) from HuggingFace
- Cloud Integration: Connect to OpenAI, Anthropic, Mistral, Groq, and others
- Custom Assistants: Create specialized AI assistants for your tasks
- OpenAI-Compatible API: Local server at
localhost:1337for other applications - Model Context Protocol: MCP integration for enhanced capabilities
- Privacy First: Everything runs locally when you want it to
Build from Source
For those who enjoy the scenic route:
Prerequisites
- Node.js ≥ 20.0.0
- Yarn ≥ 1.22.0
- Make ≥ 3.81
- Rust (for Tauri)
Run with Make
git clone https://github.com/menloresearch/jan
cd jan
make dev
This handles everything: installs dependencies, builds core components, and launches the app.
Available make targets:
make dev- Full development setup and launchmake build- Production buildmake test- Run tests and lintingmake clean- Delete everything and start fresh
Run with Mise (easier)
You can also run with mise, which is a bit easier as it ensures Node.js, Rust, and other dependency versions are automatically managed:
git clone https://github.com/menloresearch/jan
cd jan
# Install mise (if not already installed)
curl https://mise.run | sh
# Install tools and start development
mise install # installs Node.js, Rust, and other tools
mise dev # runs the full development setup
Available mise commands:
mise dev- Full development setup and launchmise build- Production buildmise test- Run tests and lintingmise clean- Delete everything and start freshmise tasks- List all available tasks
Manual Commands
yarn install
yarn build:core
yarn build:extensions
yarn dev
System Requirements
Minimum specs for a decent experience:
- macOS: 13.6+ (8GB RAM for 3B models, 16GB for 7B, 32GB for 13B)
- Windows: 10+ with GPU support for NVIDIA/AMD/Intel Arc
- Linux: Most distributions work, GPU acceleration available
For detailed compatibility, check our installation guides.
Troubleshooting
If things go sideways:
- Check our troubleshooting docs
- Copy your error logs and system specs
- Ask for help in our Discord
#🆘|jan-helpchannel
Contributing
Contributions welcome. See CONTRIBUTING.md for the full spiel.
Links
- Documentation - The manual you should read
- API Reference - For the technically inclined
- Changelog - What we broke and fixed
- Discord - Where the community lives
Contact
- Bugs: GitHub Issues
- Business: hello@jan.ai
- Jobs: hr@jan.ai
- General Discussion: Discord
License
Apache 2.0 - Because sharing is caring.
Acknowledgements
Built on the shoulders of giants: