关于
Multi-Agent Lab is an educational project designed to showcase the core principles of multi-agent systems. It simulates an e-commerce platform with a health consultancy, where various specialized AI agents collaborate to serve customers. The project demonstrates how to implement hierarchical agent structures, integrate diverse AI models like Gemini, Claude, and Llama, and enable agents to execute external tools via the Model Context Protocol (MCP) server. It is ideal for learners and developers looking to understand the practical aspects of building and coordinating sophisticated AI agent ecosystems.
主要功能
- Comprehensive logging for agent operations and tool interactions
- Specialized sub-agents for e-commerce and health consultation domains
- 2 GitHub stars
- Integration of multiple AI models (Gemini, Claude, Llama via LiteLLM)
- Customizable MCP Server for external tool execution (e.g., product search, payment plans)
- Hierarchical agent architecture (Root, Shop Mate, Seller, Health Mate)
使用案例
- Demonstrating tool integration and communication protocols (MCP) for AI agents
- Experimenting with hierarchical AI agent coordination and task delegation
- Teaching and learning multi-agent system design and implementation
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