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## Stateful Graphs
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The "state" concept in `pydantic-graph` provides an optional way to access and mutate an object (often a `dataclass` or Pydantic model) as nodes run in a graph. If you think of Graphs as a production line, then you state is the engine being passed along the line and built up by each node as the graph is run.
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The "state" concept in `pydantic-graph` provides an optional way to access and mutate an object (often a `dataclass` or Pydantic model) as nodes run in a graph. If you think of Graphs as a production line, then your state is the engine being passed along the line and built up by each node as the graph is run.
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In the future, we intend to extend `pydantic-graph` to provide state persistence with the state recorded after each node is run, see [#695](https://github.com/pydantic/pydantic-ai/issues/695).
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