Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by zhuzhaoyun · Agent Tool · ★ 327
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Molio safe to install? View the security audit →
📚 Molio Give AI your personal knowledge base. Local-first, and every byte stays yours. English · 中文 · 🌐 Official Website What you've accumulated isn't one kind of thing: experience and methods scattered across notes, documents, and chat logs — and also whole books, PDFs full of figures, piles of industry material. Most of it sits in a form AI can't read, so every conversation starts from zero. Molio turns all of it into a personal knowledge base that AI can read and use: Claude Code, Codex, and other agents enter your knowledge space, work on top of everything you've accumulated — researching, writing, answering, analyzing — and write their results back as Markdown, so the base grows thicker with every task. Everything runs on your machine, never through a third-party server. Starting from zero? The resource library ships ready-made k
| Stars | 327 |
| Forks | 45 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 65.4046141482901/100 |
| Open Issues | 28 |
| Last Updated | 2026-09-19 |
| Created | 2026-06-04 |
| Platforms | browser, claude-code, cli, node |
| Est. Tokens | ~17k |
These tools work well together with Molio for enhanced workflows:
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Molio is A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.. It is categorized as a Agent Tool with 327 GitHub stars.
Molio is primarily written in TypeScript. It covers topics such as claude-code, knowledge-management, llmwiki.
You can find installation instructions and usage details in the Molio GitHub repository at github.com/zhuzhaoyun/Molio. The project has 327 stars and 45 forks, indicating an active community.
The top alternatives to Molio on Agent Skills Hub include brain.md, skill-conductor, cccc. 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: