MemFactory
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The curator’s take
MemFactory introduces the first unified, highly modular training and inference framework specifically designed for memory-augmented AI agents. It abstracts the memory lifecycle into atomic, plug-and-play components using a “Lego-like” architecture, natively integrating Group Relative Policy Optimization (GRPO) to fine-tune internal memory management strategies. The framework decomposes memory into mixable components that support recent approaches including Memory-R1, RMM, and MemAgent out of the box, achieving relative gains of up to 14.8% compared to baseline models.
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