What is an Agentic Control Plane?

An Agentic Control Plane is a governance layer that sits between AI coding agents and their tools. It logs every tool call, enforces permissions and policies, and provides audit trails — giving teams visibility and control over what their AI agents are doing.

How does ACP work with Claude Code?

ACP installs a PreToolUse hook in Claude Code that fires before every tool call (Bash, Read, Write, Edit, WebFetch). The hook sends the tool name and input to ACP's governance API for policy evaluation and audit logging. Round-trip is approximately 200ms.

How do I install ACP?

Run one command: curl -sf https://agenticcontrolplane.com/install.sh | bash. This auto-detects Claude Code and OpenClaw, installs the appropriate hooks, and opens your browser to set up your workspace.

Documentation

The Agentic Control Plane governs what your AI agents do. Agents act by making tool calls; ACP sits in the path and makes every one identity-checked, policy-enforced, priced, and audited — across every client and framework you run.

There are two ways in: put ACP in front of an agent you run (a hook, a wrapper, or the proxy), or run agents through the API and let ACP orchestrate and govern the whole loop. Pick where to start below.

Core docs

The governance model, policies, identity, and how it all composes. The concepts behind every install — learn them once.

API

Create and run agents, set the policy that governs them, and read the audit trail — from code. Full REST reference + OpenAPI spec.

Integrations

Install ACP into your AI client — Claude Code, Cursor, Cline, Codex, and more. One command, working in under five minutes.

Frameworks

Govern agents you build — CrewAI, LangGraph, the Anthropic & OpenAI SDKs, Pydantic AI, and more. One wrapper.

New to ACP? Run the five-minute quickstart — key → create an agent → run it → read it back from the audit log. Or just point the installer at your coding agent:

curl -sf https://agenticcontrolplane.com/install.sh | bash