The Agent Control Plane (ACP) is a distributed agent scheduler that runs AI agents on Kubernetes with strong durability and reliability guarantees. It supports long-lived outer-loop agents that can make asynchronous tool calls including requesting human feedback, delegating to sub-agents, and integrating with external systems via the Model Context Protocol (MCP). It embraces 12-factor-agent design principles for agents that operate without continuous supervision.