Cordum
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.
Install / Use
/learn @cordum-io/CordumQuality Score
Category
Development & EngineeringSupported Platforms
README
The Problem: The Agent Risk Gap
Enterprises are rushing to deploy Autonomous AI Agents, but they're hitting a wall of risk. According to Gartner, 74% of enterprises see AI agents as a new attack vector, and over 40% of agentic AI projects will be canceled due to inadequate risk controls.
The current landscape leaves teams with a choice:
- Restrict agents to simple, low-value read-only tasks.
- Accept the risk of autonomous agents taking destructive, unmonitored actions.
Without a dedicated governance layer, you're flying blind:
- No visibility: You don't know what your agents are doing until after they do it.
- No safety rails: There's no way to intercept dangerous operations before they execute.
- No human-in-the-loop: Sensitive actions happen without manual oversight.
- No audit trail: When things go wrong, you can't reconstruct the chain of thought.
The Solution: Cordum Agent Control Plane
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.
graph TB
subgraph CP [AGENT CONTROL PLANE]
direction LR
G[API Gateway] --- S[Scheduler] --- SK[Safety Kernel]
S --- WE[Workflow Engine]
end
subgraph AGENTS [AUTONOMOUS AGENT POOLS]
direction LR
A1[Financial Ops]
A2[Data Science]
A3[Customer Service]
end
CP -->|Governed Jobs| AGENTS
AGENTS -->|Audit Trail| CP
Governance Across the Lifecycle
Cordum's Before/During/Across framework provides exhaustive control over your agent operations:
graph LR
subgraph BEFORE [1. BEFORE - Governance]
P[Policy Evaluation] --> S[Safety Gating]
S --> H[Human Approval]
end
subgraph DURING [2. DURING - Safety]
M[Real-time Monitoring] --> C[Circuit Breakers]
C --> A[Live Approvals]
end
subgraph ACROSS [3. ACROSS - Observability]
F[Fleet Health] --> T[Audit Trail]
T --> O[Optimization]
end
BEFORE --> DURING
DURING --> ACROSS
- BEFORE (Governance): Define declarative policies that evaluate job requests before an agent executes. Trigger safety kernel checks, throttle risky actions, or flag operations for human approval.
- DURING (Safety): Real-time visibility into active agent runs. Monitor progress, handle step-level approvals, and enforce timeouts or circuit breakers on the fly.
- ACROSS (Observability): Manage your entire fleet from a single control plane. Aggregate audit trails, track capability-based routing, and observe agent pool health in real-time.
Quickstart
Prerequisites: Docker (4GB+ RAM), Docker Compose, Go 1.24+
git clone https://github.com/cordum-io/cordum.git
cd cordum
./tools/scripts/quickstart.sh
That's it. The script auto-creates .env, generates API keys and Redis password, builds all services, and runs health checks. No manual configuration needed.
Dashboard: http://localhost:8082
Login: admin / admin123 (change in .env → CORDUM_ADMIN_PASSWORD)
cp .env.example .env
# Edit .env: set CORDUM_API_KEY (or generate: openssl rand -hex 32)
export CORDUM_API_KEY="your-key-here"
go run ./cmd/cordumctl up
open http://localhost:8082
Ports
| Port | Service | |------|---------| | 8082 | Dashboard | | 8081 | API Gateway (HTTPS) | | 9080 | gRPC Gateway | | 4222 | NATS | | 6379 | Redis | | 9092 | Gateway Metrics | | 9093 | Workflow Engine Health | | 50051 | Safety Kernel (gRPC) | | 50400 | Context Engine (gRPC) |
After Setup
# Submit a test job
curl -sS --cacert ./certs/ca/ca.crt \
-X POST https://localhost:8081/api/v1/jobs \
-H "X-API-Key: $CORDUM_API_KEY" -H "X-Tenant-ID: default" \
-H "Content-Type: application/json" \
-d '{"topic":"job.default","context":{"prompt":"hello"}}'
# Stop the stack
docker compose down
# View logs
docker compose logs -f api-gateway
Troubleshooting
| Issue | Fix |
|-------|-----|
| Port already in use | docker compose down then retry, or check lsof -i :8082 |
| Docker out of memory | Allocate at least 4 GB RAM to Docker Desktop |
| Can't login to dashboard | Default credentials: admin / admin123 |
| TLS/SSL cert errors | Remove ./certs/ and re-run — certs auto-regenerate |
| openssl not found | Not needed — quickstart.sh auto-generates keys without it |
| Go build fails | Requires Go 1.24+ — check with go version |
| Stale config after changes | redis-cli DEL cfg:system:default then restart |
For detailed troubleshooting, see docs/troubleshooting.md.
Key Features
<!-- Replace with a visual showing the Policy Studio and Safety Kernel in action -->| Governance Feature | Why It Matters for Enterprise | |--------------------|--------------------------------| | Safety Gating | Prevents agents from executing destructive or unauthorized actions before they occur. | | Output Quarantine | Automatically blocks PII leaks, secrets, or hallucinated results from reaching the client. | | Human-in-the-Loop | Mandates human oversight for high-risk operations (e.g., financial transfers, prod access). | | Pool Segmentation | Ensures sensitive data only reaches agents in trusted environments. | | Deterministic Audit | Prove exactly why a decision was made with a full chain-of-thought audit trail. | | Governance Policies | Declarative YAML-based rules that map enterprise risk to agent behavior. | | Policy Simulator | Test your governance rules against historical data before rolling them out to production. |
Architecture
cordum/
├── cmd/ # Service entrypoints + CLI
│ ├── cordum-api-gateway/ # API gateway (HTTP/WS + gRPC)
│ ├── cordum-scheduler/ # Scheduler + safety gating
│ ├── cordum-safety-kernel/ # Policy evaluation
│ ├── cordum-workflow-engine/ # Workflow orchestration
│ ├── cordum-context-engine/ # Optional context/memory service
│ └── cordumctl/ # CLI
├── core/ # Core libraries
│ ├── controlplane/ # Gateway, scheduler, safety kernel
│ ├── context/ # Context engine implementation
│ ├── infra/ # Config, storage, bus, metrics
│ ├── protocol/ # API protos + CAP aliases
│ └── workflow/ # Workflow engine
├── dashboard/ # React UI
├── sdk/ # SDK + worker runtime
├── cordum-helm/ # Helm chart
├── deploy/k8s/ # Kubernetes manifests
└── docs/ # Documentation
Documentation
| Doc | Description | |-----|-------------| | System Overview | Architecture and data flow | | Core Reference | Deep technical details | | Docker Guide | Running with Compose | | Agent Protocol | CAP bus + pointer semantics | | MCP Server | MCP stdio + HTTP/SSE integration | | Pack Format | How to package agent capabilities | | Local E2E | Full local walkthrough | | Production Guide | TLS, HA, backups, incident runbooks |
Protocol: CAP — The Open Standard for Agent Governance
Cordum implements CAP (Cordum Agent Protocol), an open protocol specifically designed for distributed AI agent governance. CAP provides a unified interface for defining agent capabilities, submitting jobs, and
