This paper investigates how one can develop multi-agent systems using LangGraph, a framework to handle, manage and compose complex applications with large language models (LLMs). We also cover the architecture, the tools, and the methodologies behind developing a multi-agent system and share the advantages and disadvantages of using LangGraph. It’s got a case study with code samples, AI agents benchmarking and an extensive literature review.