Architecting Persistent Memory for Enterprise AI Assistants
Ok_Mud_2004 · reddit · 2026-08-12
A developer building an enterprise AI assistant ran into an issue where the model ignores persistent memory. The system stores business processes as memories and sends them as context to the Gemini API alongside user queries. However, as business logic grew complex, the model started losing or ignoring relevant information.
The author is looking for a proper architectural solution rather than a quick patch to handle memory, context, and complex workflows scalably. The project is being built with Claude Code, and the community is invited to share insights on RAG, memory management, and context optimization.
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