LangGraph is an AI development framework designed to build reliable, autonomous agents through graph-based stateful orchestration. It enables complex multi-step workflows by combining large language models with memory, conditional logic, and human-in-the-loop controls. Unlike linear workflow tools, LangGraph excels at managing dynamic, goal-driven agent behavior with customizable components, making it ideal for applications requiring advanced reasoning and adaptability. It supports features like checkpoint memory for efficient context management and integrates monitoring tools to track agent performance and costs, helping developers create scalable, transparent, and dependable AI agent systems.