Dinh Long Nguyen a30eb7f968
feat: Jan Web (reusing Jan Desktop UI) (#6298)
* add platform guards

* add service management

* fix types

* move to zustand for servicehub

* update App Updater

* update tauri missing move

* update app updater

* refactor: move PlatformFeatures to separate const file

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

* change tauri fetch name

* update implementation

* update extension fetch

* make web version run properly

* disabled unused web settings

* fix all tests

* fix lint

* fix tests

* add mock for extension

* fix build

* update make and mise

* fix tsconfig for web-extensions

* fix loader type

* cleanup

* fix test

* update error handling + mcp should be working

* Update mcp init

* use separate is_web_app build property

* Remove fixed model catalog url

* fix additional tests

* fix download issue (event emitter not implemented correctly)

* Update Title html

* fix app logs

* update root tsx render timing

---------

Co-authored-by: Claude <noreply@anthropic.com>
2025-09-05 01:47:46 +07:00
2025-08-27 17:12:49 +07:00
2025-09-01 14:02:31 +10:00
2025-03-18 13:06:17 +07:00
2025-09-03 10:13:08 +07:00
2023-10-30 23:20:10 +07:00
2023-12-29 11:30:16 +07:00
2024-10-28 23:09:25 +07:00
2025-08-26 11:17:59 +07:00
2025-07-15 22:29:28 +07:00

Jan - Local AI Assistant

Jan AI

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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:1337 for 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 launch
  • make build - Production build
  • make test - Run tests and linting
  • make 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 launch
  • mise build - Production build
  • mise test - Run tests and linting
  • mise clean - Delete everything and start fresh
  • mise tasks - List all available tasks

Manual Commands

yarn install
yarn build:tauri:plugin:api
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:

  1. Check our troubleshooting docs
  2. Copy your error logs and system specs
  3. Ask for help in our Discord #🆘|jan-help channel

Contributing

Contributions welcome. See CONTRIBUTING.md for the full spiel.

Contact

License

Apache 2.0 - Because sharing is caring.

Acknowledgements

Built on the shoulders of giants:

Description
Languages
TypeScript 54.9%
JavaScript 34.1%
Rust 8.6%
Python 1.5%
Shell 0.4%
Other 0.5%