AIBullisharXiv – CS AI · Mar 46/106
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SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning
SuperLocalMemory is a new privacy-preserving memory system for multi-agent AI that defends against memory poisoning attacks through local-first architecture and Bayesian trust scoring. The open-source system eliminates cloud dependencies while providing personalized retrieval through adaptive learning-to-rank, demonstrating strong performance metrics including 10.6ms search latency and 72% trust degradation for sleeper attacks.