Clyro governs AI agents at runtime

AI agents are notoriously unpredictable and prone to runaway costs and infinite loops; Clyro is a timely runtime governance layer that shifts focus from model alignment to infrastructure-level safeguards, enabling safe deployment at scale.

* Infrastructure over models: Recognizes that production failures are infrastructure issues, not just model limitations, which is a pragmatic developer-centric approach.

* Non-intrusive integration: Wraps existing agents (like CrewAI and LangGraph) in Python with minimal code changes, reducing integration friction.

* Granular security controls: Features default-deny tool governance via MCP and isolated memory layers to prevent data leaks and unauthorized actions.

* Proactive cost protection: Stops the dreaded infinite loop problem, which can easily burn thousands of dollars overnight in API calls.