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Cordum

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The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framew

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OSS

Cordum

Added 1 June 2026

#agent-framework #agentic-ai #ai-agent #ai-governance #ai-orchestration #ai-safety #audit-trail #autonomous-agents

Overview

Cordum is an open source control plane for governing autonomous AI agents. It enforces policies before agents execute actions, requires human approval for sensitive operations, and maintains audit trails. It integrates with LangChain, CrewAI, MCP, and other agent frameworks.

Best for

Best for
Teams building multi-agent systems that need governance, safety, and compliance controls.

Use cases

  • Enforcing safety and compliance policies on agent actions
  • Requiring human-in-the-loop approval for high-risk operations
  • Auditing agent behavior across multiple frameworks

Notes

Cordum is an open source control plane for governing autonomous AI agents. It enforces policies before agents execute actions, requires human approval for sensitive operations, and maintains audit trails. It integrates with LangChain, CrewAI, MCP, and other agent frameworks.

484 stars on GitHub. Last updated 2026-06-01.

Use cases

  • Enforcing safety and compliance policies on agent actions
  • Requiring human-in-the-loop approval for high-risk operations
  • Auditing agent behavior across multiple frameworks

Pros

  • Open source and framework-agnostic
  • Pre-execution policy enforcement prevents unsafe actions
  • Provides clear audit trails for compliance

Cons

  • Relatively new project with a small community (484 stars)
  • May require custom policy definitions for specific use cases
  • Pre-execution checks can add latency to agent workflows

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Open source and framework-agnostic
  • Pre-execution policy enforcement prevents unsafe actions
  • Provides clear audit trails for compliance

Cons

  • Relatively new project with a small community (484 stars)
  • May require custom policy definitions for specific use cases
  • Pre-execution checks can add latency to agent workflows