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Long-Term Agent Memory through Complementary Curation and Consolidation

arXiv cs.AI · arxiv.org Publicado:

arXiv:2610.39790v1 Announce Type: new Abstract: Long-horizon dialogue agents require effective memory systems to recall facts, events, and relationships from interaction histories. In this work, we propose a hybrid-memory architecture comprising episodic memories and structured relational memories and a consolidation mechanism which preserves efficiency. We conduct an empirical study across two benchmarks: LoCoMo and LongMemEval-S. Our experiments demonstrate that the two memory types are consi…

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