LangGraph
LangGraph is an open-source framework from LangChain for building stateful, multi-actor AI agent applications with precise control over agent workflows
About LangGraph
LangGraph is an open-source framework from LangChain for building stateful, multi-actor AI agent applications with precise control over agent workflows. It models agent logic as a directed graph where nodes represent computation steps and edges define the flow between them, enabling developers to build complex agents with loops, branches, and human-in-the-loop checkpoints. LangGraph supports persistence so agents can pause, resume, and maintain state across long-running tasks. It integrates natively with LangChain and LangSmith for observability and debugging. Companies use LangGraph to build production-grade customer service agents, coding assistants, and research agents that require reliable, controllable behavior.
Pros
- Fine-grained control over agent execution flow
- Built-in state persistence for long-running agents
- Strong observability via LangSmith integration
Cons
- Steeper learning curve than high-level agent frameworks
- Requires familiarity with LangChain ecosystem