Jan
Open-source, offline-first AI assistant that runs LLMs locally on Mac, Windows, or Linux - 22K+ GitHub stars and fully privacy-preserving.
Jan is an open-source desktop application for running large language models entirely locally, developed by Homebrew - a Singapore-based company focused on privacy-first AI. Launched in late 2023, Jan reached 22,000+ GitHub stars within its first year and is available for macOS, Windows, and Linux. It includes a built-in model hub for browsing and downloading GGUF-format models from Hugging Face, a clean chat interface, and an OpenAI-compatible local API server on port 1337. Jan supports GPU acceleration via Metal on Apple Silicon and CUDA on NVIDIA cards, enabling near-cloud performance on capable consumer hardware without any data leaving the device.
Key Features
- Run 50+ local LLMs including Llama 3, Mistral, Gemma, and Phi-3 with one-click model download
- Fully offline operation - zero data sent to external servers after initial model download
- Built-in model hub for browsing and downloading GGUF-format models from Hugging Face
- OpenAI-compatible API server at port 1337 - drop-in local replacement for OpenAI API calls
- Extensions system for optionally connecting to remote APIs including OpenAI, Groq, and Anthropic
- Cross-platform desktop app with GPU acceleration via Metal (Apple Silicon) and CUDA (NVIDIA)
Use Cases
- Privacy-conscious professionals running AI assistants without sending any data to cloud providers
- Developers building and testing apps against a local OpenAI-compatible endpoint at zero API cost
- Researchers in air-gapped or restricted environments needing AI assistance without internet access
- Hobbyists experimenting with open-source language models without complex CLI setup or configuration
Pros
- 100% offline operation ensures complete data privacy - no telemetry, logging, or cloud dependencies
- OpenAI-compatible local API makes it a zero-cost replacement for development and integration testing
- 22K+ GitHub stars with active community contributions and frequent model compatibility updates
Cons
- Performance is hardware-dependent - significantly slower than cloud APIs on consumer-grade machines
- Large model files (4–70GB) require substantial disk space - not practical on small-SSD laptops
- Setup and troubleshooting requires more technical comfort than cloud-based chat interfaces
Jan Alternatives
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Looking for alternatives to Jan? Here are some similar tools you might like:
LM Studio
Free desktop app for running local LLMs on your own hardware - OpenAI-compatible API server, 1,000+ models; $19M raised from Conviction and Google.
Ollama
Run large language models locally on Mac, Linux, or Windows - one-line install, 100+ models, OpenAI-compatible API, completely free.
GPT4All
Free, open-source desktop app by Nomic AI that runs Llama 3, Mistral, and 50+ LLMs entirely on your local machine - no internet, no API key, no data sent externally.
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