AI RESEARCH
MemX: A Local-First Long-Term Memory System for AI Assistants
arXiv CS.AI
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ArXi:2603.16171v1 Announce Type: cross We present MemX, a local-first long-term memory system for AI assistants with stability-oriented retrieval design. MemX is implemented in Rust on top of libSQL and an OpenAI-compatible embedding API, providing persistent, searchable, and explainable memory for conversational agents. Its retrieval pipeline applies vector recall, keyword recall, Reciprocal Rank Fusion (RRF), four-factor re-ranking, and a low-confidence rejection rule that suppresses spurious recalls when no answer exists in the memory. We evaluate MemX on two axes.