Awesome Ai Agent Governance

Awesome AI Agent Governance [](https://awesome.re) [](https://github.com/systempromptio/awesome-ai-agent-governance/blob/main/CONTRIBUTING.md) [](https://github.com/systempromptio/awesome-ai-agent-governance/commits/main)

The definitive curated list of tools, frameworks, standards, and resources for governing AI agents in production.

AI agents that call tools, write code, query databases, and execute actions need the same controls as any other system touching production infrastructure: authentication, authorisation, audit trails, cost controls, policy enforcement, and compliance evidence.

**Scope:** Runtime governance of AI agents — policy enforcement, audit trails, access control, cost management, compliance tooling, and agent security. Not AI safety research, alignment theory, or general responsible AI ethics.

**Why now:** The EU AI Act enforcement timeline is live. NIST AI RMF is production-ready. The OWASP Agentic AI Top 10 documents real attack patterns. Claude Code, Copilot, Cursor, and autonomous agent frameworks are now standard tools in enterprise software teams. Governance is no longer optional.

Contributions welcome.

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Contents

• Why Governance Matters
• International Standards
• Regulatory Frameworks
• Industry Standards and Guidance
• Open-Source Governance Toolkits
• Free Governance Tools
• Enterprise Governance Solutions
• Claude Code and MCP Governance
• Policy Engines and Authorisation
• [Audit, Observability, and Cost Control](#audit-observa