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Atomic Chat
Local AI app and inference engine for agents. Run open-weight LLMs locally — private, 100% offline on your computer. Join our Discord: https://discord.com/invite/8wGSsvmg4V
Install
git clone https://github.com/AtomicBot-ai/Atomic-ChatInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →Atomic Chat
Local AI app and inference engine for agents. Run open-weight LLMs locally — private, on your machine.
Getting Started · Hugging Face · Discord · X / Twitter · Bug Reports
📦 Download
Desktop
Mobile
🔌 Use It as an API
Atomic Chat runs an OpenAI-compatible server at http://localhost:1337/v1 — a drop-in replacement for the OpenAI SDK. Load a model in the app, then point any client at it:
curl http://localhost:1337/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "<model-id-loaded-in-atomic-chat>",
"messages": [{ "role": "user", "content": "Say hello in one word" }]
}'
from openai import OpenAI
# Atomic Chat is OpenAI API-compatible — only the base_url changes.
client = OpenAI(base_url="http://localhost:1337/v1", api_key="not-needed")
resp = client.chat.completions.create(
model="<model-id-loaded-in-atomic-chat>",
messages=[{"role": "user", "content": "Say hello in one word"}],
)
print(resp.choices[0].message.content)
Bound to 127.0.0.1 by default; set host: 0.0.0.0 to expose it on your LAN. Works with any agent, CLI, or IDE plugin that speaks the OpenAI API — see Launch With below.
✨ Features
Local models
- Run open-weight LLMs locally from HuggingFace — Llama, Gemma, Qwen, Mistral, Phi, and others
- Multi-Token Prediction (MTP) speculative decoding — 30–70% throughput boost on supported models, up to 3× on Gemma 4
- DFlash block-diffusion decoding — up to 6× faster on Qwen 3.6, Gemma 4, Kimi K2.5
- Flash Attention toggle (
on/off/auto) - Automatic reasoning-context tracking for chain-of-thought models
- Auto context-window expansion with overflow notifications
- EAGLE-3 speculative decoding for Gemma 4 on Apple Silicon (MLX)
- MTP on MLX for Qwen 3.5 / 3.6 and DeepSeek V4
- TurboQuant KV cache (
turbo3/turbo4) on llama.cpp — now on Windows & Linux too, not just macOS: up to ~4.3× smaller KV cache footprint, CPU and GPU (CUDA / Vulkan) - TurboQuant KV cache on MLX-VLM — smaller memory footprint via RHT-correct fast paths
Cloud models
- Built-in providers: OpenAI, Anthropic, Mistral, Groq, MiniMax, Qwen, Moonshot
- Bring your own key, switch model per chat, mix local and cloud freely
Tools & integrations
- One-click agent launch — launch agents like Atomic Agent, Claude Code, Codex CLI, Cline, OpenCode, Droid, Goose, OpenHands, Copilot CLI, Kilo Code, Zed and ZCode in one click from the Integrations tab
- Artifacts — live preview panel for HTML/CSS/JS code with copy, download and print
- Connect multiple MCP servers — bring your own tools, file access, web search
- Custom assistants with per-assistant system prompts
- Projects with conversation tree view in the sidebar
Local API
- OpenAI-compatible server at
http://localhost:1337/v1— drop-in replacement for the OpenAI SDK - Works with any agent, CLI, or IDE plugin that speaks the OpenAI API
- Bound to
127.0.0.1by default; sethost: 0.0.0.0to expose on LAN
Privacy
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