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Agent Registry Pattern

Centralized or federated discovery of available agents and their capabilities

Overview

The Challenge

In multi-agent systems, agents need to find other agents to collaborate with. Without a registry, agents must be hardcoded or manually configured, limiting flexibility and scalability.

The Solution

Implement a registry service where agents register their capabilities, endpoints, and metadata. Other agents query the registry to discover suitable collaborators dynamically.

When to Use
  • Multi-agent platforms with dynamic agent pools
  • When agents join and leave frequently
  • Cross-team or cross-organization agent collaboration
  • Building agent marketplaces
When NOT to Use
  • Small, static agent configurations
  • When all agents are known at design time
  • Tightly coupled agent pairs

Trade-offs

Advantages
  • +Dynamic agent discovery
  • +Decouples agent dependencies
  • +Enables agent marketplaces
  • +Supports health monitoring
Considerations
  • −Single point of failure (if centralized)
  • −Registry must be highly available
  • −Stale entries if agents crash
  • −Query latency for discovery
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Deep Dive

Overview

An Agent Registry provides a centralized or federated service for agents to advertise themselves and discover others. It's the phone book of multi-agent systems.

Registry Types

Centralized Registry

Single service maintains all agent registrations.

  • Simple to implement
  • Single point of failure
  • Best for: Single-org deployments

Federated Registry

Multiple registries sync with each other.

  • Higher availability
  • Cross-organization discovery
  • More complex consistency

Peer-to-Peer Discovery

Agents discover each other directly (gossip protocol).

  • No central point of failure
  • Eventually consistent
  • Best for: Highly distributed systems

Registration Data

Required Fields

  • Agent ID (unique identifier)
  • Endpoint (how to reach the agent)
  • Capabilities (what the agent can do)
  • Status (active, busy, offline)

Optional Fields

  • Version information
  • Rate limits / quotas
  • Authentication requirements
  • Performance metrics

Health Management

Heartbeats

Agents periodically ping registry to confirm availability.

TTL-Based Expiry

Registrations expire if not renewed.

Active Health Checks

Registry probes agents to verify responsiveness.

Query Patterns

Capability-Based

"Find agents that can translate text"

Attribute-Based

"Find agents with latency < 100ms"

"Find agents similar to this description"

Code Examples

Agent registrationpython
class AgentRegistry:
    def __init__(self):
        self.agents = {}

    def register(self, agent_id, metadata):
        """Register an agent with its capabilities."""
        self.agents[agent_id] = {
            'capabilities': metadata['capabilities'],
            'endpoint': metadata['endpoint'],
            'status': 'active',
            'registered_at': datetime.now(),
            'last_heartbeat': datetime.now()
        }

    def discover(self, capability_query):
        """Find agents matching capability requirements."""
        matches = []
        for agent_id, info in self.agents.items():
            if info['status'] != 'active':
                continue
            if self._matches_capability(info['capabilities'], capability_query):
                matches.append((agent_id, info))
        return matches

    def heartbeat(self, agent_id):
        """Update agent's last seen timestamp."""
        if agent_id in self.agents:
            self.agents[agent_id]['last_heartbeat'] = datetime.now()
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Considerations

Implement proper TTL and health checking to avoid routing to dead agents. Consider caching for frequently-queried capabilities.

PreviousSemantic Capability Matching Pattern
NextCapability Discovery Pattern
Dimension Scores
Safety
3/5
Accuracy
4/5
Cost
4/5
Speed
3/5
Implementation
Complexitymedium
Implementation Checklist
Registry service
Agent metadata schema
Health checking
0/3 complete
Tags
discoveryregistryservice-discoverycatalogmetadata

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