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This paper introduces MemStrata, a retrieval memory system that maintains temporal validity to eliminate stale-fact errors in AI agents over evolving knowledge. It outperforms RAG on evolving benchmarks while preserving static recall, using a deterministic supersession layer without LLM calls.