AI Trends Hub

LangGraph

Category: Agentic Harnesses · Official site · Status: Mature / widely adopted

What it is

LangGraph is a graph-based framework for building stateful, multi-actor LLM applications. You define agents as nodes and edges, with explicit state and conditional branching — closer to a workflow engine than a black-box agent loop.

Why people use it

  • Explicit control over agent state and transitions (good for complex, auditable flows).
  • Strong LangChain ecosystem integration.
  • Checkpointing and human-in-the-loop built in.

Watch-outs

  • More boilerplate than lighter harnesses; the graph mental model has a learning curve.
  • Tight coupling to the LangChain stack can be a plus or a lock-in depending on your view.

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