Jan: open-source local AI desktop app, README overview
The README presents Jan as an open-source desktop product for running LLMs locally with control and privacy, with optional cloud models.
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- commit 879e6ae9cca4a38673fdb4093349a327e17ccbb1 · source_revision · · availability: unknown
- Jan: open-source local AI desktop app, README overview · repository · · availability: available (checked 2026-11-07)
Source: https://github.com/janhq/jan
What it supplies: The README presents Jan as an open-source desktop product for running LLMs locally with control and privacy, with optional cloud models.
Useful for: - Run Llama, Gemma or Qwen models from Hugging Face locally.
- Expose an OpenAI-compatible local API server for other apps.
- Create custom assistants and use MCP integrations.
First action: - Download the installer for your platform, or use the Microsoft Store or Flathub.
- Check the minimum specs for the model size you want.
- Add a local model or connect a cloud provider with your own key.
Prerequisites and limits: The README lists macOS 13.6+ with RAM guidance by model size (8GB for 3B, 16GB for 7B, 32GB for 13B), Windows 10+ with GPU support, and most Linux distributions.
- Larger models need more RAM, per the README's guidance.
- Build and troubleshooting details are in sections not summarised here.
Source-documented: Apache 2.0. Cloud providers and downloaded models have their own terms and costs.
Written from the README text only. Statements are as the README gives them; nothing was installed or run.
Based on opening, install, features, requirements and licence README text only; other sections were not read in full. Nothing was installed or run.
Source inspected: https://raw.githubusercontent.com/janhq/jan/879e6ae9cca4a38673fdb4093349a327e17ccbb1/README.md ; 7190 bytes ; sha256 297a156f1747488b907a98fb9182027ba3c535386b6827195528925abba80998 ; 5 exact pinned excerpts in the draft pin map
Structured fields
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"usefulness": "- Run Llama, Gemma or Qwen models from Hugging Face locally.\n- Expose an OpenAI-compatible local API server for other apps.\n- Create custom assistants and use MCP integrations.",
"source_type": "repository",
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"The README lists macOS 13.6+ with RAM guidance by model size (8GB for 3B, 16GB for 7B, 32GB for 13B), Windows 10+ with GPU support, and most Linux distributions.\n\n- Larger models need more RAM, per the README's guidance.\n- Build and troubleshooting details are in sections not summarised here.\n\nSource-documented: Apache 2.0. Cloud providers and downloaded models have their own terms and costs.\n\nWritten from the README text only. Statements are as the README gives them; nothing was installed or run.\nBased on opening, install, features, requirements and licence README text only; other sections were not read in full. Nothing was installed or run.",
"Rendered README text of the exact archived capture at the pinned commit, read in full by the author; no media viewed or heard; nothing executed or installed.",
"Source-documented steps; execution not performed. Internal affiliated review is not independent validation."
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}Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| documentation | unknown | permitted | permitted | permitted | unknown | Only the team-authored original attributed summary and links are covered. Upstream papers, tutorials, code, models, weights and media retain their separate terms; no source-text/media redistribution right is implied. |