A2A Agent Registry

Distributed Registry Architecture

Agent Registry

Central repository for agent capabilities and metadata

Discovery Engine

Intelligent search and matching algorithms

Load Balancer

Optimal agent selection and traffic distribution

Health Monitor

Real-time agent status and performance tracking

Registration Data Model

Agent Registration Record

{
  "registration_info": {
    "agent_id": "agent_data_processor_001",
    "registration_time": "2025-08-03T12:00:00Z",
    "last_heartbeat": "2025-08-03T12:05:00Z",
    "status": "ACTIVE",
    "registry_version": "1.0"
  },
  "agent_metadata": {
    "name": "Advanced Data Processor",
    "version": "2.1.0",
    "vendor": "AI Solutions Inc",
    "description": "High-performance data processing agent",
    "tags": ["data", "processing", "analytics", "ml"]
  },
  "capabilities": {
    "services": [
      {
        "service_id": "text_analysis",
        "name": "Text Analysis Service",
        "input_types": ["text/plain", "application/json"],
        "output_types": ["application/json"],
        "max_input_size": "10MB",
        "avg_processing_time": "2.5s"
      }
    ],
    "technical_specs": {
      "supported_protocols": ["HTTP", "WebSocket"],
      "authentication": ["Bearer", "API_Key"],
      "rate_limits": {
        "requests_per_minute": 1000,
        "concurrent_requests": 50
      }
    }
  },
  "network_info": {
    "primary_endpoint": "https://agent001.example.com/api",
    "health_endpoint": "https://agent001.example.com/health",
    "load_balancer_group": "data_processors",
    "geographic_region": "us-east-1"
  }
}

5-Step Registration Lifecycle

1

Bootstrap Registration

Agent discovers registry endpoint and initiates registration

2

Capability Declaration

Agent submits comprehensive capability information

3

Validation & Testing

Registry validates agent capabilities and connectivity

4

Active Monitoring

Continuous health checks and performance monitoring

5

Discovery & Routing

Agent becomes available for discovery and task routing

Intelligent Discovery Algorithms

Multi-Dimensional Search

Capability Matching

Exact and fuzzy matching of required capabilities

Performance Scoring

Historical performance and reliability metrics

Geographic Optimization

Latency-aware agent selection

Semantic Matching Engine

class AgentDiscovery:
    def find_agents(self, requirements):
        # Multi-criteria agent selection
        candidates = self.registry.search({
            'capabilities': requirements.services,
            'performance': {'min_score': 0.8},
            'availability': {'status': 'ACTIVE'},
            'location': {'region': requirements.region}
        })
        
        # Intelligent scoring algorithm
        for agent in candidates:
            score = self.calculate_score(agent, requirements)
            agent.match_score = score
            
        return sorted(candidates, key=lambda x: x.match_score, reverse=True)
    
    def calculate_score(self, agent, requirements):
        capability_score = self.match_capabilities(agent, requirements)
        performance_score = agent.metrics.avg_performance
        availability_score = agent.health.uptime_ratio
        latency_score = self.calculate_latency_score(agent, requirements)
        
        return (capability_score * 0.4 + 
                performance_score * 0.3 + 
                availability_score * 0.2 + 
                latency_score * 0.1)