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This paper introduces AdaMM, a framework that complements retrieval-based multimodal memory with analytic memory, enabling filtering, aggregation, ranking, and temporal comparison over accumulated observations. Experiments on MemEye and MemGallery benchmarks show improvements of up to 11.3% and 7.3% respectively.