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cs.DB2026
MemDerive: A Diagnostic Benchmark for Agent Memory over Evolving Data
Sen Gao, Yongan Li, Han Chen +5
Long-running agents rely on memory of their past interactions for task state, such as what has been completed and which conditions still hold. Such state is usually a derived state…
cs.DB2026
MemForest: An Efficient Agent Memory System with Hierarchical Temporal Indexing
Han Chen, Zining Zhang, Wenqi Pei +6
Memory is a fundamental component for long-context LLM agents, supporting persistent state across interactions through a continuous serve-and-update lifecycle. Despite substantial…