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ONGOING
NBChat: Year-Long Prototype for Long-Term Memory
Overview
NBChat serves as a longitudinal study platform for investigating how AI systems can develop and maintain a coherent understanding of a user over extended periods. It focuses on the architectural challenges of episodic memory consolidation and retrieval in conversational interfaces.
Details
ARCHITECTURE
- FastAPI backend for asynchronous inference
- MongoDB for hybrid semantic/lexical search
- React Native mobile client
TRANSITION REFLECTION
Bridged the gap between theoretical memory models and practical engineering constraints for real-time interaction.