About
Agentic Control Plane (ACP) is the control layer for AI agents: every tool call an agent makes is checked against your policy before it runs (allow / flag / deny / ask), priced at API rates — including subscription traffic — and written to an audit log. It works regardless of framework, model, or client: one command wires up Claude Code, Codex, or Cursor; SDKs cover CrewAI, LangGraph, OpenAI Agents SDK, Pydantic AI, and a dozen other frameworks.
Who builds it
ACP is built by David Crowe. The harness plugins are open source — one repo per harness under github.com/agentic-control-plane, MIT-licensed — and the delegation-chain primitive is published as an open specification (ADCS). The managed service, ACP Cloud, is free up to 5 initiating agents.
How we work
- Measured, not estimated. Every number we publish comes from something we ran, metered, or scanned ourselves — the canonical index with method and capture date for each is The Data.
- Dogfooded. ACP governs the agents that build ACP. Features ship to our own workspace before they ship to anyone else, and the audit rows in our screenshots are real.
- Built in the open. The modules, the spec, the benchmark (AgentGovBench), and this site are all public repositories.
Contact
Email hello@agenticcontrolplane.com, open an issue on GitHub, or see the contact page for everything else.
Run agents? ACP lets you see, control, and price every tool call they make — allow/ask/deny policy, per-session cost, and a full audit log for Claude Code, Cursor, Codex, and OpenClaw, in one command:
curl -sf https://agenticcontrolplane.com/install.sh | bashGetting started → · see your first governed call → · free up to 5 agents · prefer fully on-device? add --local