Faramesh – open-source runtime enforcement for AI agents
Code-based rules beat AI monitoring AI for actual enforcement guarantees.

Kubernetes-style YAML manifests for agents, but agent frameworks are already crowded.
Teams deploying production AI agents with governance requirements
LangGraph · CrewAI · Dify
Code-based rules beat AI monitoring AI for actual enforcement guarantees.
Deterministic rule extraction from traces — same input always produces same output, no tokens.
Natural language policies block risky agent actions before they execute.
Proves text safety ≠ tool-call safety; catches hidden harmful executions deterministically.
Scoped runtime credentials for AI agents replace insecure .env API keys.
Kernel-level intent tracking stops AI exfiltration where EDR and Docker fail.