Why ACP?
AI coding agents and editors are tightly coupled but interoperability isn’t the default. Each editor must build custom integrations for every agent they want to support, and agents must implement editor-specific APIs to reach users. This creates several problems:- Integration overhead: Every new agent-editor combination requires custom work
- Limited compatibility: Agents work with only a subset of available editors
- Developer lock-in: Choosing an agent often means accepting their available interfaces
Overview
ACP assumes that the user is primarily in their editor, and wants to reach out and use agents to assist them with specific tasks. ACP is suitable for both local and remote scenarios:- Local agents run as sub-processes of the code editor, communicating via JSON-RPC over stdio.
- Remote agents can be hosted in the cloud or on separate infrastructure, communicating over HTTP or WebSocket
Full support for remote agents is a work in progress. We are actively
collaborating with agentic platforms to ensure the protocol addresses the
specific requirements of cloud-hosted and remote deployment scenarios.