AIBullisharXiv – CS AI · 5h ago7/10
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E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory
Researchers propose E-mem, a new framework for LLM agent memory that reconstructs episodic context instead of compressing it, enabling more rigorous reasoning over extended tasks. The approach uses multiple assistant agents managing uncompressed memory while a master agent coordinates planning, achieving 54% F1 on benchmarks with 70% lower token costs than existing methods.