How one developer skipped a messages table to build a Claude-based chatbot

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Developer Néstor Daza published the second article in his series on building Claudius, a personal Claude-based chatbot using MongoDB and LangGraph. Rather than storing messages in a dedicated database table or array, Daza routes all conversation text through the LangGraph checkpointer, which also holds the AI agent's working state. This design choice reflects a document-modeling philosophy where schema structure follows application access patterns, not raw data relationships. To enforce data consistency without a relational engine, Claudius uses Zod schemas in code, which simultaneously provide runtime validation and TypeScript type definitions. The approach avoids the common drift problem that arises when type interfaces and validators are declared separately.

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