seehiong/multi-agent-system-using-langgraph
A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.
This project helps AI application developers understand and implement sophisticated AI systems using multiple specialized AI agents. It provides practical examples of building systems that can interact with databases, perform web searches, and handle complex queries. Developers can use this to learn how to combine different AI capabilities into a cohesive, intelligent workflow.
Use this if you are an AI application developer looking to build or learn about multi-agent AI systems, integrating tools like databases and web search, and orchestrating their interactions.
Not ideal if you are looking for a ready-to-use AI application and do not intend to write or integrate code.
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24
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1
Language
Jupyter Notebook
License
MIT
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Last pushed
Dec 04, 2025
Commits (30d)
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