Agent Communication Protocol (ACP) is a standard for agent-to-agent communication, allowing different AI agents to interact regardless of how they’re built. This agent works with any ACP-compliant service.

​
Agent prerequisites

  • BeeAI platform installed and running locally
  • BeeAI Framework installed with pip install beeai-framework
  • BeeAI Framework extension for ACP installed with pip install 'beeai-framework[acp]'

​
ACP Agent

When to use ACP instead of BeeAI Platform Integration?
  • You’re connecting to your own custom ACP server
  • You’re developing a multi-agent system where agents communicate via ACP
  • You’re integrating with a third-party ACP-compliant service that isn’t the BeeAI Platform
import asyncio
import sys
import traceback

from beeai_framework.adapters.acp.agents import ACPAgent
from beeai_framework.errors import FrameworkError
from beeai_framework.memory.unconstrained_memory import UnconstrainedMemory
from examples.helpers.io import ConsoleReader


async def main() -> None:
    reader = ConsoleReader()

    agent = ACPAgent(agent_name="chat", url="http://127.0.0.1:8000", memory=UnconstrainedMemory())
    for prompt in reader:
        # Run the agent and observe events
        response = await agent.run(prompt).on(
            "update",
            lambda data, event: (reader.write("Agent 🤖 (debug) : ", data)),
        )

        reader.write("Agent 🤖 : ", response.result.text)


if __name__ == "__main__":
    try:
        asyncio.run(main())
    except FrameworkError as e:
        traceback.print_exc()
        sys.exit(e.explain())
The availability of ACP agents depends on the server you’re connecting to. You can check which agents are available by using the check_agent_exists method: 
try:
  await agent.check_agent_exists()
  print("Agent exists and is available")
except AgentError as e:
  print(f"Agent not available: {e.message}")
If you need to create your own ACP server with custom agents, BeeAI framework provides the AcpServer class.

​
ACP Server

Basic example: 
from beeai_framework.adapters.acp import ACPServer, ACPServerConfig
from beeai_framework.agents.experimental import RequirementAgent
from beeai_framework.backend import ChatModel
from beeai_framework.memory import UnconstrainedMemory
from beeai_framework.tools.search.duckduckgo import DuckDuckGoSearchTool
from beeai_framework.tools.weather import OpenMeteoTool


def main() -> None:
    llm = ChatModel.from_name("ollama:granite3.3:8b")
    agent = RequirementAgent(
        llm=llm,
        tools=[DuckDuckGoSearchTool(), OpenMeteoTool()],
        memory=UnconstrainedMemory(),
        # specify the agent's name and other metadata
        name="my_agent",
        description="A simple agent",
    )

    # Register the agent with the ACP server and run the HTTP server
    # For the ToolCallingAgent and ReActAgent, we dont need to specify ACPAgent factory method
    # because they are already registered in the ACPServer
    ACPServer(config=ACPServerConfig(port=8001)).register(agent, tags=["example"]).serve()


if __name__ == "__main__":
    main()
Custom agent example: 
import sys
import traceback
from collections.abc import AsyncGenerator

import acp_sdk.models as acp_models
import acp_sdk.server.context as acp_context
import acp_sdk.server.types as acp_types
from pydantic import BaseModel, InstanceOf

from beeai_framework.adapters.acp import ACPServer
from beeai_framework.adapters.acp.serve._utils import acp_msgs_to_framework_msgs
from beeai_framework.adapters.acp.serve.agent import ACPServerAgent
from beeai_framework.adapters.acp.serve.server import to_acp_agent_metadata
from beeai_framework.adapters.beeai_platform.serve.server import BeeAIPlatformServerMetadata
from beeai_framework.agents.base import BaseAgent
from beeai_framework.backend.message import AnyMessage, AssistantMessage
from beeai_framework.context import Run, RunContext
from beeai_framework.emitter.emitter import Emitter
from beeai_framework.errors import FrameworkError
from beeai_framework.memory import UnconstrainedMemory
from beeai_framework.memory.base_memory import BaseMemory


class EchoAgentRunOutput(BaseModel):
    message: InstanceOf[AnyMessage]


# This is a simple echo agent that echoes back the last message it received.
class EchoAgent(BaseAgent[EchoAgentRunOutput]):
    memory: BaseMemory

    def __init__(self, memory: BaseMemory) -> None:
        super().__init__()
        self.memory = memory

    def _create_emitter(self) -> Emitter:
        return Emitter.root().child(
            namespace=["agent", "custom"],
            creator=self,
        )

    def run(
        self,
        input: list[AnyMessage] | None = None,
    ) -> Run[EchoAgentRunOutput]:
        async def handler(context: RunContext) -> EchoAgentRunOutput:
            assert self.memory is not None
            if input:
                await self.memory.add_many(input)
            return EchoAgentRunOutput(message=AssistantMessage(self.memory.messages[-1].text))

        return self._to_run(handler, signal=None)


def main() -> None:
    # Create a custom agent factory for the EchoAgent
    def agent_factory(agent: EchoAgent, *, metadata: BeeAIPlatformServerMetadata | None = None) -> ACPServerAgent:
        """Factory method to create an ACPAgent from a EchoAgent."""
        if metadata is None:
            metadata = {}

        async def run(
            input: list[acp_models.Message], context: acp_context.Context
        ) -> AsyncGenerator[acp_types.RunYield, acp_types.RunYieldResume]:
            framework_messages = acp_msgs_to_framework_msgs(input)
            response = await agent.run(framework_messages)
            yield acp_models.MessagePart(content=response.message.text, role="assistant")  # type: ignore[call-arg]

        # Create an ACPAgent instance with the run function
        return ACPServerAgent(
            fn=run,
            name=metadata.get("name", agent.meta.name),
            description=metadata.get("description", agent.meta.description),
            metadata=to_acp_agent_metadata(metadata),
        )

    # Register the custom agent factory with the ACP server
    ACPServer.register_factory(EchoAgent, agent_factory)
    # Create an instance of the EchoAgent with UnconstrainedMemory
    agent = EchoAgent(memory=UnconstrainedMemory())
    # Register the agent with the ACP server and run the HTTP server
    # Enamble self-registration for the agent to BeeAI platform
    ACPServer(config={"self_registration": True}).register(agent, name="echo_agent").serve()


if __name__ == "__main__":
    try:
        main()
    except FrameworkError as e:
        traceback.print_exc()
        sys.exit(e.explain())

# run: beeai agent run echo_agent "Hello"
Source: python/examples/serve/acp_with_custom_agent.py