The approval and accountability layer for agentic AI. Identity → Policy → Approval → Trace. Try: npx sidclaw-mcp-guard demo
Toolkits to create a human-in-the-loop approval layer to monitor and guide AI agents workflow in real-time.
🛡️ Zero-trust governance for AI agents. Intercept, approve, and audit LLM actions with one decorator. Fail-secure by default.
Cryptographic attestation and verification layer for MCP tool executions