cordum
Active·★ 482·NOASSERTION·Updated 2026-05-29
★ Security & Safety★ Multi-Agent
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 framework.
Cordum is an Agent Control Plane that provides a deterministic governance layer for probabilistic AI minds. It allows you to define, enforce, and audit the behavior of your Autonomous AI Agents across any framework or model.
#agent-framework#agentic-ai#ai-agent#ai-governance#ai-orchestration#ai-safety#audit-trail#autonomous-agents
01
Features
01Safety Gating
02Output Quarantine
03Human-in-the-Loop
04Pool Segmentation
05Deterministic Audit
02
Compatibility
Go
Go SDK
Verified via docs
Python
Python SDK
Verified via docs
Node
Node.js SDK
Verified via docs
LangChain
LangChain Integration
Verified via docs
Kubernetes
Kubernetes Deployment
Verified via docs
03
Quick start
1
$ git clone https://github.com/cordum-io/cordum.git
2
$ cd cordum
3
$ ./tools/scripts/quickstart.sh
04
Use cases
↳Enterprise AI agent governance
↳Safety monitoring for autonomous agents
↳Compliance auditing and audit trails
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Comments
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- QQuinn WilsonMay 9, 2026
The governance layer catches risky actions before they execute, not after
- RRiley ZhangMay 6, 2026
Used as the control plane for production agent deployments, zero policy violations in 3 months
- HHayden JacksonApr 20, 2026
Open agent control with plain-English policies makes governance accessible to non-engineers
- CCorey JohnsonMar 1, 2026
Pre-execution policy enforcement for autonomous agents is critical infrastructure