E-mem uses a heterogeneous multi-agent setup for episodic context reconstruction in LLM agents, reaching over 54% F1 on LoCoMo while cutting token cost by over 70% compared to prior methods like GAM.
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E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory
E-mem uses a heterogeneous multi-agent setup for episodic context reconstruction in LLM agents, reaching over 54% F1 on LoCoMo while cutting token cost by over 70% compared to prior methods like GAM.