Agentos

If you're building AI agents and need to enforce policies or compliance rules at runtime, this gives you a governance layer through MCP. It exposes safety checks, policy validation, and compliance enforcement as callable operations that Claude can invoke before executing agent actions. The underlying Agent OS kernel has been integrated into Dify, LlamaIndex, and Microsoft's Agent-Lightning, and it covers 9 of 10 OWASP Agentic security risks. Think of it as a middleware that sits between your LLM and potentially risky operations, letting you define what agents can and can't do in production. Useful when you need audit trails, rate limiting, or hard stops on specific agent behaviors without rewriting your entire stack.