Jan

Your private AI assistant, 100% offline, no subscription.

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Overview of Jan

https://jan.ai
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Detailed overview

Jan is an open source alternative to ChatGPT that runs entirely on your machine. It lets you run AI models locally (Llama 3, Gemma 3, Mistral…) without sending your data to remote servers. Jan includes an OpenAI-compatible API server, MCP integration for agentic capabilities, and its own models like Jan-v2 (multimodal). Available on Windows, Mac and Linux, Jan is the ideal solution for those who prioritize data privacy and sovereignty.

What is Jan?

The essentials

Jan is an open source desktop application that lets you run language models directly on your machine. It relies on open source models like Llama 3, Gemma 3, Mistral, and others in GGUF format. Jan also includes its own models like Jan-v2 (multimodal with vision) and Jan-v1 (with web search). The application is available free on GitHub.

Key features

Jan offers a set of features designed for privacy and flexibility. The chat interface is intuitive and resembles ChatGPT’s. A VS Code-style extension system allows you to add features. The local OpenAI-compatible API server lets you integrate Jan with other tools. Support for NVIDIA GPUs and Apple M-series processors accelerates local model inference. MCP integration adds advanced agentic capabilities.

Use cases

Jan is ideal for professionals handling sensitive data: lawyers, doctors, consultants, researchers. It’s also great for developers wanting a local AI server for their projects, enterprises with strict compliance constraints, and enthusiasts wanting to experiment with open source models without relying on a subscription.

Advantages

Jan’s main advantage is absolute privacy guarantee: no data leaves your machine. The absence of subscription eliminates recurring costs. OpenAI API compatibility simplifies integration into existing ecosystems. GPU support optimizes performance for users with the right hardware.

Pricing

Jan is completely free and open source. No paid plan is required to access core features. An optional 100% offline voice dictation feature is available for $24 as a one-time payment on Mac. Open source models are downloadable for free.

Conclusion

Jan is the reference solution for users who want the power of generative AI without compromising on privacy. Its open source and 100% local approach makes it a unique and valuable tool in the AI assistant ecosystem.

✅ Strengths

  • 100% local operation: no data leaves your machine
  • Support for many open source models: Llama 3, Gemma 3, Mistral
  • OpenAI-compatible API server for integration with other tools
  • Intuitive interface available on Windows, Mac and Linux
  • MCP integration for advanced agentic capabilities
  • Entirely free and open source, no subscription

⚠️ Limits

  • Requires a powerful computer (min. 8 GB of RAM)
  • Local models perform less well than premium cloud LLMs
  • Initial setup more complex for non-technical users
  • Models take up multiple gigabytes of hard drive space
❓ FREQUENT QUESTIONS

FAQ — Jan

Does Jan require an internet connection?
No, Jan runs entirely locally on your computer. An internet connection is only needed to download the AI models initially. After that, everything works offline.
Which AI models can I use with Jan?
Jan supports open source models in GGUF format: Llama 3, Gemma 3, Mistral, Phi, and many others. You can also connect cloud APIs like OpenAI or Anthropic if you wish.
What are the hardware requirements to use Jan?
Jan requires a minimum of 8 GB of RAM and a processor with AVX2 support. An NVIDIA GPU or Apple M-series processor significantly improves performance of local models.
Is Jan truly free?
Yes, Jan is completely free and open source. No subscription is required. The only exception is an optional offline voice dictation feature at $24 as a one-time payment on Mac.
Is Jan compatible with tools that use the OpenAI API?
Yes, Jan includes a local API server compatible with OpenAI format. This means you can connect it to many tools that support the OpenAI API while keeping your data local.
★★★★½ 4.6/5 (74 avis)
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