What is LangGraph?

LangGraph is a graph execution model for LLM apps that makes control-flow and state transitions explicit via nodes and edges. It helps you design complex flows like branching, loops, and error handling visually and run them reliably.

What is an LLM Agent?

An LLM agent is an execution unit where a large language model acts toward goals via tool calls, memory, and external APIs. Expressing branching, loops, and error recovery as explicit control-flow improves predictability and reproducibility beyond prompts alone.

LangGraph models an agent's state and control-flow as a graph, enabling visual design, execution, and observability. Nodes encapsulate LLM/tool call logic, while edges encode transition conditions, making complex agent behavior production-ready.

Why it matters for LLM workflows

• Modularize prompts, tools, memory for reuse
• Executable control-flow for easier debugging and observability
• Production-friendly: partial runs, retries, and recovery