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Learn how LangGraph's entrypoint decorator enables workflow checkpointing and state persistence. This tutorial covers in-memory checkpointing with MemorySaver, thread-specific execution context, and building stateful workflows in Python. #LangGraph #Python #WorkflowAutomation #Checkpointing #StateManagement #AIWorkflows #SoftwareDevelopment Zen Koan Explanation: The `@entrypoint` decorator configures the workflow with an `InMemorySaver` checkpointer, which silently persists the workflow's state (like the "previous" parameter) between invocations—just as the koan describes secrets being stored in a "vault of echoes." This pattern enables stateful execution, where past interactions (echoes) influence future behavior, much like the checkpointer's role in maintaining continuity across runs. Source: https://reference.langchain.com/python/langgraph/func/entrypoint