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 siyuan-note · MCP Server · ★ 46.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is siyuan safe to install? View the security audit →
Refactor your thinking <a title="Code Size" target="blank
| Stars | 46,626 |
| Forks | 3,035 |
| Language | TypeScript |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 62.9583660155552/100 |
| Open Issues | 20 |
| Last Updated | 2026-10-04 |
| Created | 2020-08-30 |
| Platforms | mcp, node |
| Est. Tokens | ~19k |
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siyuan is An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间，让人与智能体在此协作. It is categorized as a MCP Server with 46.6k GitHub stars.
siyuan is primarily written in TypeScript. It covers topics such as agentic-ai, ai-agent, knowledge-base.
You can find installation instructions and usage details in the siyuan GitHub repository at github.com/siyuan-note/siyuan. The project has 46.6k stars and 3035 forks, indicating an active community.
siyuan is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to siyuan on Agent Skills Hub include note-gen, n8n, open-webui. 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: