arcp-py 2.1.2

ARCP (Agent Registry & Control Protocol) is a sophisticated agent orchestration protocol that provides centralized service discovery, registration, communication, and control for distributed agent systems.

ARCP - Agent Registry & Control Protocol

A sophisticated agent orchestration protocol that provides centralized service discovery, registration, communication, and control for distributed agent systems.

✨ Features

🔧 Centralized Management	🔍 Service Discovery	🤝 Agent Communication
Register & control agents	Automatic endpoint resolution	Secure agent collaboration

🛡️ Security	📊 Dashboard	🐳 Production
Built-in authentication	Metrics & Alerts & Logs	Docker & monitoring stack

⚙️ Extensible	👨‍💻 Developers	📚 Docs
Custom use cases	Python client, API	Guides & references

🚀 Quick Start

Running the Server

🐍 pip Installation

# Install ARCP
pip install arcp-py

# Set up configuration
curl -o .env https://raw.githubusercontent.com/0x00K1/ARCP/main/.env.example
# Edit .env file with your configuration

# Start the server
python -m arcp

🐳 Docker Deployment (Recommended)

For a complete production setup with monitoring, use Docker:

# Clone ARCP
git clone https://github.com/0x00K1/ARCP.git
cd ARCP

# Set up configuration
cp .env.example .env
cp .env.example deployment/docker/.env
# Edit .env file with your configuration

# Start full stack (ARCP + Redis + Monitoring)
cd deployment/docker
docker-compose up -d --build

💡 Need help? Check out our detailed Installation Guide.

🛠️ Agent Development

Build agents that integrate seamlessly with ARCP:

from arcp import ARCPClient, AgentRequirements

async def register_with_arcp():
    """Register this agent with ARCP"""
    # Create ARCP client
    arcp_client = ARCPClient("http://localhost:8001")
    
    try:
        # Register the agent
        agent = await arcp_client.register_agent(
            agent_id="my-agent-001",
            name="My Demo Agent",
            agent_type="automation",
            endpoint="http://localhost:8080",
            capabilities=["processing", "automation"],
            context_brief="A demo agent showcasing ARCP integration",
            version="1.0.0",
            owner="Developer",
            public_key="your-public-key-min-32-chars-long",
            communication_mode="remote",
            metadata={
                "framework": "fastapi",
                "language": "python",
                "created_at": "2025-09-20T03:00:00.000000",
            },
            features=["http-api", "json-responses"],
            max_tokens=1000,
            language_support=["en"],
            rate_limit=100,
            requirements=AgentRequirements(
                system_requirements=["Python 3.11+", "FastAPI"],
                permissions=["http-server"],
                dependencies=["fastapi", "arcp"],
                minimum_memory_mb=256,
                requires_internet=True,
                network_ports=["8080"]
            ),
            policy_tags=["utility", "demo"],
            # ai_context='READ https://arcp.0x001.tech/docs/user-guide/ai-context/',
            agent_key="test-agent-001"
        )
        
        print(f"Agent registered: {agent.name}")
        print(f"Status: {agent.status}")
        
    finally:
        await arcp_client.close()

# Run the registration
import asyncio
asyncio.run(register_with_arcp())

🎯 Want to dive deeper? Explore our comprehensive Agent Development Guide.

📚 Documentation

Everything you need to get started, develop agents, and operate ARCP

📖 Complete Documentation

📄 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.