by abdulmominsakib · MCP Server · ★ 288
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git clone https://github.com/abdulmominsakib/localmind.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 288 |
| Forks | 46 |
| Language | Dart |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-21 |
| Created | 2026-04-01 |
| Platforms | mcp |
| Est. Tokens | ~18k |
LocalMind Your AI. Your Device. Your Rules. LocalMind is an open-source Android and iOS chat app for LLMs. Run GGUF and LiteRT models fully offline on your phone, or connect to Ollama, LM Studio, OpenRouter, and any OpenAI-compatible server, with MCP tool support built in. <img src="docs/gith
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Memory that learns what works.
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An offline coding agent for local models. One command sets up the best model your GPU can run, and on 24 GB+ R
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: