NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents

In three linesNeuSymMS is a hybrid neuro-symbolic memory system for LLM agents. It couples neural fact extraction from dialogue with a CLIPS-based expert system that classifies, deduplicates, and reconciles facts. Knowledge is stored as subject-relation-value triples in a relational database, with short/long-term memory and access-based promotion.

Summary generated by Claude — human-verified