Bulla, Francesco Ewelu, Stephanie Yalla Satya Praveen Kumar Reddy Description StudSar is a neural associative memory system inspired by human cognition, now enhanced with emotional tagging, usage-aware reinforcement, and an offline Dream Mode for long-term memory consolidation. By combining segmented semantic embeddings with real-time, similarity-based retrieval, StudSar enables precise and context-aware recall, even across large corpora. Unlike traditional vector databases, StudSar V2 supports: emotionally contextual markers, user-driven reputation updates, and dynamic memory re-encoding based on frequency of use. Its memory is persistent, expandable, and capable of evolving over time both during interaction and autonomously. With support for modular integration and future transformer-based segmentation, StudSar lays the foundation for scalable, interpretable, and self-organizing memory systems in artificial intelligence.