ποΈ AMCP Architecture Overview
Understanding the event-driven foundation of AMCP
π System Overview
AMCP implements a distributed, event-driven architecture that enables scalable multi-agent communication through an asynchronous publish-subscribe model.
Application Layer
AMCP Core Layer
Event Mesh Layer
βοΈ Core Components
π€ Agent Manager
Handles agent lifecycle, registration, and discovery within the mesh.
- Agent activation and deactivation
- Capability announcement
- Health monitoring
π‘ Event Router
Routes events between agents based on topic subscriptions and patterns.
- Topic-based routing
- Wildcard subscriptions
- Event transformation
π Mobility Engine
Enables agent migration, cloning, and replication across contexts.
- Strong mobility with state
- Cross-context migration
- State serialization
π Security Manager
Implements zero-trust security model with authentication and authorization.
- Agent authentication
- Topic-level permissions
- Encrypted communication
πΈοΈ Event Mesh Architecture
The event mesh provides the communication backbone for all agent interactions.
π’ 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.*");
π Asynchronous Processing
All communication is non-blocking, allowing agents to process multiple events concurrently without waiting for responses.
π Dynamic Scaling
New agents can join the mesh at runtime, automatically discovering available topics and services without system reconfiguration.
π 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.
π― 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.