Langgraph Framework
Langgraph is an open-source framework designed to build stateful, multi-step agents and agentic systems. It extends the LangChain ecosystem by providing structured infrastructure for managing complex agent workflows. The framework enables developers to create agents that require decision-making, state persistence, and sequential reasoning across multiple steps.
Core Functionality
Langgraph represents agent logic as explicit, directed graphs where nodes correspond to computational steps and edges define transitions between them. This graph-based architecture allows developers to model complex workflows with clear control flow and decision points. The framework handles state management across steps, enabling agents to maintain context and build on previous computations as they progress through a workflow.
Use Cases
The framework is particularly suited for building highly configurable agents that require sophisticated orchestration. Notable applications include research agents that perform iterative information gathering and analysis, as well as multi-turn agents that maintain conversational state. By providing programmatic control over agent execution, Langgraph enables use cases that would be difficult to implement with simpler, linear agent patterns.
Source Notes
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