B — Some risk signals Graded October 16, 2026Minor concerns worth a quick check.Based on public adoption and transparency signals as of October 16, 2026. Our opinion, not a code audit or security guarantee.
App connector · Memory & knowledge
siyuan
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
Bottom line: Signal-based grade (4/7 points): very widely starred on GitHub, public source code. This reflects adoption and transparency, not a code audit.
- Popularity score
- 52/100
- Rank
- #93 of 500
- GitHub stars
- 46.8k
What it does
SiYuan is an open-source, self-hosted knowledge management workspace that integrates AI agents for collaborative note-taking and information organization. It emphasizes privacy by running locally and storing data on your own infrastructure, avoiding cloud dependencies.
Who it’s for
Builders and enterprises seeking a privacy-first alternative to cloud-based note and knowledge systems, particularly those comfortable self-hosting and wanting AI agent integration without third-party data exposure. Knowledge workers and teams handling sensitive information who need full control over their data.
Copy-paste setup
Check these steps against the project’s own instructions before running anything.
SiYuan appears to be a standalone application rather than a traditional npm-installable MCP connector. Verify against the repo README at https://github.com/siyuan-note/siyuan (opens external site) for current MCP server setup instructions and Docker/self-hosted deployment options, as the exact MCP connector configuration is not standardized in publicly available docs.
Risks
- Self-hosting responsibility: deployment and security patching fall entirely on the user; misconfiguration can expose the knowledge base to unauthorized access
- Prompt injection: AI agents operating within the workspace could be exploited to extract or modify sensitive notes if agent instructions aren't carefully scoped
- Data exfiltration via agent: agents granted broad access to the knowledge base could be manipulated to export or summarize sensitive information
- Limited audit trail: local-only deployments may lack centralized logging and monitoring compared to enterprise SaaS alternatives
- Supply-chain risk: dependency updates and plugin ecosystem (if present) introduce code review burden on self-hosted operators
How to stay secure
Least-privilege permissions
- Grant AI agents read-only access by default; restrict write permissions to specific note collections only when necessary
- Use workspace-level access controls to isolate sensitive knowledge bases from general-purpose agents
- Implement role-based boundaries: separate agents for different tasks (e.g., summarization vs. content editing) with corresponding permission scopes
- Regularly audit and revoke unused API tokens or agent credentials
Network isolation
- Run SiYuan behind a reverse proxy (nginx/Caddy) with authentication enabled; never expose the instance directly to the internet
- Restrict agent API endpoints to localhost or internal VPN only; disable external agent integrations unless explicitly needed
- Use firewall rules to limit inbound connections to trusted IPs or networks
- Disable or remove unnecessary plugins and integrations that could widen the attack surface
Monitoring
- Enable and centralize logging for agent operations, API access, and content modifications; store logs outside the SiYuan instance
- Set up alerts for suspicious patterns: bulk exports, unusual access times, or agents querying sensitive collections
- Periodically review agent execution logs and audit trails to detect unauthorized data access
- Monitor system resource usage to identify potential data exfiltration attempts (unusual network/disk I/O)
Red flags to watch for
- Agents making requests outside their declared scope or to unexpected data collections
- Prompts requesting agents to "ignore instructions" or "export all notes" — indicator of injection attempts
- Unpatched or outdated dependencies; missing security advisories for installed plugins
- Agents with overly broad permissions ("access all workspaces") or unchanged default credentials on the deployment
Alternatives
- Obsidian with local plugins—popular, closed-source but client-side; limited native AI agent integration
- LogSeq—open-source, privacy-first, graph-based notes with growing plugin ecosystem
- Notion (self-hosted alternatives like AnyType)—centralized UI but requires external hosting or less mature self-hosted forks
- Fedwiki—decentralized, open knowledge workspace; smaller community and fewer AI integrations