The chatbot's memory upgrade involved implementing LangGraph for improved state management, allowing it to remember user information such as names and birthdays. The setup included enabling state persistence with a MemorySaver checkpointer to ensure continuity across interactions. The development server facilitated live testing and adjustments to the chatbot's workflow. The enhancement aimed to create a more user-friendly experience by preventing the bot from forgetting key details during conversations, which is crucial for an engaging interaction.
The first step involved launching the chatbot server with a MemorySaver checkpointer to persist the bot's state between interactions, allowing it to remember user details.
I utilized LangGraph's development server to interactively test the chatbot's flow, making changes live to build a stateful and graph-based workflow.
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