LibreAI / AI Chat / Atomic-Chat
// ai-chat · AtomicBot-ai/Atomic-Chat

Atomic-Chat

Local AI app and inference engine — open-weight LLMs, fully offline.

💎 Hidden gem★ 1.7k stars⑂ 192 forksCustomupdated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

Atomic-Chat is an open-source ai chat project by AtomicBot-ai (AtomicBot-ai/Atomic-Chat on GitHub). It has 1,671 GitHub stars and 192 forks, is released under the Custom license, and was last updated on GitHub on 3 October 2026.

GitHub stars
1,671
Forks
192
License
Custom
Last updated on GitHub
3 October 2026
Category
AI Chat
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Install the app

    Get the desktop build for your OS.

  2. Download a model

    Pick an open-weight GGUF model.

  3. Chat offline

    Converse with 100% local inference.

  4. Power agents

    Use it as the engine behind local agents.

// features

Why people love it

100% offline

No network needed after setup.

Open-weight models

Run DeepSeek, Gemma, and more.

Inference engine

Powers agents, not just chat.

Private

Nothing leaves your computer.

Desktop app

Native-feeling local experience.

Apple Silicon

Optimized for modern Macs too.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/AtomicBot-ai/Atomic-Chat.git
    cd Atomic-Chat
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Which models can I run?

Open-weight GGUF models like DeepSeek and Gemma; check the docs.

Can I use Atomic-Chat commercially?

Custom license — read the repo's license file first.

How much RAM do I need?

Depends on the model; quantized GGUF models lower the bar.

Is it really 100% offline?

Yes, inference runs entirely on your computer.

Is there a community?

The project links a Discord for support and discussion.

// keep exploring

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// alternatives

Alternatives in AI Chat

The most-starred other AI Chat projects in the LibreAI catalogue — the realistic shortlist if Atomic-Chat is not the right fit.

Get Atomic-Chat

Free and open — grab the source, star the repo, and start creating.