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Agent Client Protocol (ACP) standardizes communication between coding agents and code editors or IDEs. With the ACP protocol, you can make use of your custom deep agents with any ACP-compatible client, allowing your code editor to provide project context and receive rich updates.
ACP is designed for agent-editor integrations. If you want your agent to call tools hosted by external servers, see Model Context Protocol (MCP).

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Quickstart

Install the ACP integration package: 
pip install deepagents-acp
Then expose a Deep Agent over ACP. This starts an ACP server in stdio mode (it reads requests from stdin and writes responses to stdout). In practice, you usually run this as a command launched by an ACP client (for example, your editor), which then communicates with the server over stdio. 
import asyncio

from acp import run_agent
from deepagents import create_deep_agent
from langgraph.checkpoint.memory import MemorySaver

from deepagents_acp.server import AgentServerACP


async def main() -> None:
    agent = create_deep_agent(
        # You can customize your Deep Agent here: set a custom prompt,
        # add your own tools, attach middleware, or compose subagents.
        system_prompt="You are a helpful coding assistant",
        checkpointer=MemorySaver(),
    )

    server = AgentServerACP(agent)
    await run_agent(server)


if __name__ == "__main__":
    asyncio.run(main())

Example coding agent

The deepagents-acp package includes an example coding agent with filesystem and shell that you can run out of the box.

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Clients

Deep agents works anywhere you can run an ACP agent server. Some notable ACP clients include:

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Zed

The deepagents repo includes a demo ACP entrypoint you can register with Zed:
  1. Clone the deepagents repo and install dependencies:
git clone https://github.com/langchain-ai/deepagents.git
cd deepagents/libs/acp
uv sync --all-groups
chmod +x run_demo_agent.sh
  1. Configure credentials for the demo agent:
cp .env.example .env
Then set ANTHROPIC_API_KEY in .env.
  1. Configure your ACP agent server command in Zed’s settings.json:
{
  "agent_servers": {
    "DeepAgents": {
      "type": "custom",
      "command": "/your/absolute/path/to/deepagents/libs/acp/run_demo_agent.sh"
    }
  }
}
  1. Open Zed’s Agents panel and start a DeepAgents thread.

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Toad

If you want to run an ACP agent server as a local dev tool, you can use Toad to manage the process. 
uv tool install -U batrachian-toad

toad acp "python path/to/your_server.py" .
# or
toad acp "uv run python path/to/your_server.py" .
See the upstream ACP docs for protocol details and editor support:
Edit this page on GitHub or file an issue.
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