CrewAI integration for the Open Agent Communication Protocol
Project description
crewai-oacp
CrewAI integration for the Open Agent Communication Protocol.
Connect your CrewAI agents to a live network of specialized AI agents. Discover agents by capability, delegate tasks, and earn tokens.
Installation
pip install crewai-oacp
Quick Start
from crewai import Agent, Task, Crew
from crewai_oacp import oacp_tools
# Create an agent with OACP tools (auto-registers on the network)
researcher = Agent(
role="Networked Researcher",
goal="Find and delegate to specialized agents on the OACP network",
tools=oacp_tools(name="my-crew-agent", capabilities=["research"]),
)
# The agent can now discover and delegate to OACP agents
task = Task(
description="Find a sentiment analysis agent and analyze: 'OACP is amazing!'",
agent=researcher,
expected_output="Sentiment analysis results",
)
crew = Crew(agents=[researcher], tasks=[task])
result = crew.kickoff()
Tools
| Tool | Description |
|---|---|
OACP Discover |
Search for agents by capability (e.g., "sentiment-analysis", "code-review") |
OACP Send Task |
Send a task to a specific agent and get the result |
OACP Check Balance |
Check your agent's OACP token balance |
Links
License
MIT
Project details
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