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@lironezra you would need to enable persistence by passing a checkpointer to app = workflow.compile(checkpointer=checkpointer) see more here: https://langchain-ai.github.io/langgraph/how-tos/persistence/ |
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I am using this code from the documentation: https://github.com/langchain-ai/langgraph/blob/main/examples/agent_executor/base.ipynb
How can I add to this implementation memory for graph and also for the agent?
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