Compare two AI tools side by side
Put any two skills or MCP servers next to each other: risk grade, what each can access, how popular it is, and how to install it.
| What | obsei | siyuan |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee. | BB · Some risk signals Based on public adoption and transparency signals as of Oct 16, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~900 tokens / turn (~5 tool schemas, 0.45% of 200k context) | ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context) |
| GitHub stars | 1.4k | 47k |
| Weekly npm downloads | — | — |
| Local files | No local folder access noted | Reads local files |
| Command execution | No shell command runner noted | No shell command runner noted |
| Network reach | Connects to outside service API | Connects to outside service API |
| Credentials | Requires API key or token | No API token required |
| Package source | GitHub (obsei/obsei) | GitHub (siyuan-note/siyuan) |
| Install command | Source repo only | Source repo only |
| Bottom line | Obsei reduces privacy risks by removing PII before AI processing, but it requires careful setup of data sources, secure credential storage, and monitoring to catch any leaks. | siyuan (MCP server) requires careful permission scoping — self-hosting responsibility: deployment and security patching fall entirely on the user; misconfiguration can expose the knowledge base to unauthorized access |
Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee.
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