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Personalize-then-Store: Benchmarking and Learning Personalized Memory for Long-horizon Agents

Hugging Face Daily Papers · 2026-05-25 Cached

This paper introduces PerMemBench, the first benchmark for evaluating personalized memory systems in LLM-based agents, and proposes a session-level storage gating framework that adapts memory policies to individual user contexts.

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