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The article reviews 16 Agent Memory papers from the past two weeks, pointing out that the trend has shifted from static GraphRAG retrieval to self-evolving, multi-signal routing, cognitive models, and low-cost memory systems, with per-paper overviews and links included.
A critical observation about recent industry AI papers lacking novelty, citing examples like SkillOpt that treat natural-language skills as trainable external parameters.