Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

Microsoft Research · 2 weeks ago

Microsoft researchers developed Memora, a memory system for AI agents that separates what is stored (rich content) from how it is retrieved (lightweight abstractions and cue anchors) to balance detail preservation with efficient scaling. Memora achieved state-of-the-art performance on LoCoMo and LongMemEval benchmarks while reducing token consumption by up to 98% compared to full-context inference and halving the memory entries needed versus Mem0. The system enables AI agents to maintain detailed project histories and context over long-horizon tasks without repeatedly re-reading entire conversation histories.