No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by AtomicBot-ai · MCP Server · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Atomic-Chat safe to install? View the security audit →
Atomic Chat Local AI app and inference engine for agents. Run open-weight LLMs locally — private, on your machine. Getting Started · Discord · X / Twitter · [Bug Reports](https://github.com/Atomi
| Stars | 1,665 |
| Forks | 191 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 63.1982839702984/100 |
| Open Issues | 59 |
| Last Updated | 2026-10-03 |
| Created | 2026-03-31 |
| Platforms | mcp, node |
| Est. Tokens | ~17k |
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Atomic-Chat is 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. It is categorized as a MCP Server with 1.7k GitHub stars.
Atomic-Chat is primarily written in TypeScript. It covers topics such as ai-chat, ai-tools, apple-silicon.
You can find installation instructions and usage details in the Atomic-Chat GitHub repository at github.com/AtomicBot-ai/Atomic-Chat. The project has 1.7k stars and 191 forks, indicating an active community.
The top alternatives to Atomic-Chat on Agent Skills Hub include claude-code-local, clawpanel, ctxport. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: