MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging

RESUMO

Agent memory systems have demonstrated significant potential in long-term dialogue, personalized assistants, and video understanding, but continuously accumulated memory introduces substantial storage and retrieval costs. We propose MemForest, a general memory compression framework that partitions historical memory into event-centric units, constructs an EventTree per unit, and progressively merges redundant memory nodes. Under the Mem0 framework, MemForest retains 97.1% of original performance while compressing 50% of historical memory, achieving a 1.89x retrieval speedup.