Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
Microsoft Research introduced Memora, a memory representation for agents that separates storage from retrieval to improve long-context task efficiency.
Excerpt
<p>AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what’s stored from how it's retrieved.</p>
<p>The post <a href="https://www.microsoft.com/en-us/research/blog/memora-a-harmonic-memory-representation-balancing-abstraction-and-specificity/">Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity</a> appeared first on <a href="https://www.microsoft.com/en-us/research">Microsoft Research</a>.</p>
Read at source: https://www.microsoft.com/en-us/research/blog/memora-a-harmonic-memory-representation-balancing-abstraction-and-specificity/