πŸ—οΈ AMCP Architecture Overview

Understanding the event-driven foundation of AMCP

🌐 System Overview

AMCP implements a distributed, event-driven architecture that enables scalable multi-agent communication through an asynchronous publish-subscribe model.

Application Layer

Agent A
Agent B
Agent C

AMCP Core Layer

Agent Manager
Event Router
Mobility Engine

Event Mesh Layer

Kafka
NATS
Solace

βš™οΈ Core Components

πŸ€– Agent Manager

Handles agent lifecycle, registration, and discovery within the mesh.

  • Agent activation and deactivation
  • Capability announcement
  • Health monitoring

πŸ“‘ Event Router

Routes events between agents based on topic subscriptions and patterns.

  • Topic-based routing
  • Wildcard subscriptions
  • Event transformation

πŸš€ Mobility Engine

Enables agent migration, cloning, and replication across contexts.

  • Strong mobility with state
  • Cross-context migration
  • State serialization

πŸ”’ Security Manager

Implements zero-trust security model with authentication and authorization.

  • Agent authentication
  • Topic-level permissions
  • Encrypted communication

πŸ•ΈοΈ Event Mesh Architecture

The event mesh provides the communication backbone for all agent interactions.

πŸ“’ Publish-Subscribe Model

Agents publish events to topics and subscribe to topics of interest, enabling loose coupling and dynamic scalability.

// Publishing an event
Event event = Event.builder()
    .topic("weather.update.london")
    .payload(weatherData)
    .build();
eventMesh.publish(event);

// Subscribing to events
agent.subscribe("weather.update.*");

πŸ”„ Asynchronous Processing

All communication is non-blocking, allowing agents to process multiple events concurrently without waiting for responses.

πŸ“ˆ Dynamic Scaling

New agents can join the mesh at runtime, automatically discovering available topics and services without system reconfiguration.

πŸ”„ Agent Lifecycle

1. Creation

Agent is instantiated with initial configuration and capabilities.

2. Activation

Agent registers with the mesh and announces its capabilities.

3. Operation

Agent processes events, publishes responses, and maintains state.

4. Migration

Agent can move to different contexts while preserving state.

5. Deactivation

Agent gracefully shuts down and cleans up resources.

🎯 Design Patterns

Event Sourcing

All state changes are captured as events, providing audit trails and replay capabilities.

CQRS

Command and Query Responsibility Segregation for optimized read and write operations.

Saga Pattern

Long-running transactions managed through event choreography.

Circuit Breaker

Fault tolerance through automatic failure detection and recovery.