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LangGraph is a LangChain extension for building stateful, multi-actor AI agents by modeling workflows as graphs with nodes (actions/logic) and edges (flows/decisions). It enables complex reasoning, loops, and persistent memory, allowing agents to handle complex tasks, collaborate, and maintain context over time. Key Aspects of Your First LangGraph Agent: State Graph: The foundation, defining the workflow as nodes and edges, allowing the agent to manage state between steps. Nodes & Edges: Nodes perform tasks (e.g., calling an LLM or a tool), while edges define the flow, enabling loops and conditional logic