Amazon Bedrock AgentCore Multi-Agent

Overview

Build sophisticated multi-agent systems using AgentCore's Agent-to-Agent (A2A) protocol. Implement supervisor-worker patterns where a routing agent delegates to specialized domain experts, maintaining context across the agent hierarchy.

Purpose: Orchestrate multiple AI agents for complex, multi-domain tasks

Pattern: Workflow-based (3 orchestration patterns)

Key Principles (validated by AWS December 2025):

1. Supervisor-Worker Architecture - Routing agent delegates to specialists
2. A2A Protocol - Standard communication between agents
3. Context Preservation - Conversation history shared across agents
4. Failure Isolation - Single agent failure doesn't crash system
5. Modular Design - Each agent focused on specific domain
6. Framework Interoperability - Works across different agent frameworks