LangGraph
Definition
LangGraph controls stateful, multi-step workflows for agents and language model applications.
LangGraph is a framework and runtime for long-running, stateful agent workflows. The documentation cites persistent execution, streaming, human interventions, and stored state as core features.
Simply explained
Like a flowchart with bookmarks and breakpoints. It remembers technical states but does not itself make the professionally correct decision.
Why it matters in practice
Before a LangGraph workflow, states, transitions, abort conditions, and steps requiring human approval should be modeled.
Example from business
Possible example: An internal process pauses before an external action and waits in LangGraph for confirmed approval.
Limits and pitfalls
- LangGraph is neither a finished agent nor a model. It orchestrates the steps and state transitions defined by the development team.
Origin & history
The LangGraph documentation describes a low-level orchestration for persistent execution, stored state, and human interventions.
Use in mid-sized companies
- Potential application areas are multi-step verification workflows and long-running assistance processes with clear breakpoints.
Frequently asked questions
Is LangGraph a language model?
No, it orchestrates workflows into which models can be integrated.
Can a workflow be resumed after a pause?
Yes, stored state is a described core feature.
Sources
- LangGraph overview · LangChain (o. J.): LangGraph overview
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