This project details a multi-agent system architecture using AgentCore, designed to handle complex workflows. It features an orchestrator communicating via AG-UI streams, two specialist agents for A2A tasks (one handling long-running operations), and a billing tool server using the MCP protocol. A central Agent Registry, shared via RAM, acts as a catalog for semantic search of registered agents and servers. The system was tested using a legal desk's contract review process, demonstrating its capability to manage distinct agent tasks and provide centralized discoverability. AI
IMPACT Demonstrates a flexible architecture for orchestrating multiple specialized AI agents, potentially improving efficiency in complex workflows.
RANK_REASON The article describes a specific implementation and architecture for a multi-agent system using existing protocols and tools, rather than a novel release or research breakthrough.
- A2A
- AgentCore
- Agent Registry
- AG-UI
- Amazon Elastic Compute Cloud
- AWS Command Line Interface
- MCP
- Node.js
- Northwind Gear
- Python
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