The Anatomy of a Graph
A LangGraph is built from three main components: **Nodes** (which perform tasks), **Edges** (which define the flow between tasks), and **State** (which carries information through the graph). This structure allows you to build complex, multi-step workflows with absolute precision.
State Management
The "State" is the memory of your graph. As nodes execute, they can update the state, and edges can use the state to decide which node to visit next. This persistent data flow is what allows LangGraph agents to remember context and handle complex, multi-turn reasoning tasks.
Conclusion
Structure drives intelligence. By mastering the core concepts of LangGraph, you gain the ability to design sophisticated and resilient AI workflows that can handle the most complex data and reasoning challenges.