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Graph-based, state-driven runtime; explicit nodes and edges, checkpointer-backed. Architecture: Graph- and state-driven; deep LangChain ecosystem integration (LangSmith). Best suited: Auditable, stateful graphs needing deterministic control and human-in-the-loop. Watch out: High boilerplate; strict state management is overkill for simple linear flows.
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Concrete cog in the system that works inside larger relationships.
LangGraph is the LangChain team's open-source framework for orchestrating stateful, multi-step agent workflows.
The LangChain team developed LangGraph from the need to make agent runs with explicit state, branching, and human intervention controllable. Its first public release appeared in 2024 as a graph-based addition to the LangChain ecosystem.
A LangGraph program is a state machine: nodes process shared state, edges choose the next step, and checkpoints allow a run to pause, be reviewed, and resume.
Shared data describing the workflow's current condition.
Runs one processing step and updates state.
Stores a resumable intermediate state.
LangGraph makes complex agent runs traceable and interruptible; state design, loops, and failure cases still require careful engineering.
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