Orchestrates an e-commerce system using collaborative AI agents for customer consultation, inventory management, and automated order processing.
Sponsored
This system provides a sophisticated multi-agent e-commerce platform leveraging Google ADK and the Model Context Protocol (MCP) with Server-Sent Events. It enables specialized AI agents to collaborate through a microservice architecture, facilitating comprehensive customer interaction from analyzing inquiries and checking real-time inventory to processing and persisting orders, all while offering natural language consultation. The design supports both ReAct and A2A pipelines, emphasizing robust communication and deterministic tool calls for efficient and scalable operations.
Key Features
01A2A Communication with Agent Card Registry
02Deterministic Tool Calls via remote services
03MCP SSE Integration for async communication
04Real-time Inventory Lookup and Order Management
05Streamlit UI with agent traces and order cards
060 GitHub stars
Use Cases
01Automated customer support for e-commerce platforms
02Real-time product inventory and order processing
03Building scalable multi-agent systems with microservices