Agents Assemble! Building a Multi-Agent System with LangGraph and GPT-4

The text introduces multi-agent systems as a growing trend in AI, emphasizing their ability to tackle complex problems collaboratively. LangGraph, built on LangChain, is presented as a user-friendly tool for constructing these systems. The text outlines the basic setup, including installing necessary libraries like LangChain, LangGraph and OpenAI. It guides the reader through the creation of a simple multi-agent system. The system involves a coder, a reviewer, and a refactor agent. Each agent has a specific role within the collaborative workflow. The workflow is orchestrated using LangGraph to connect the agents. A practical example demonstrates how the system creates and refines code. The core functionality of this system is explained through the interactions of the agents. The text emphasizes the potential for creating specialized roles and complex AI. It concludes by encouraging further exploration and highlights the exciting future of collaborative AI development.