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Microsoft unveils Memora to tackle AI agents’ memory problem
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based retrieval instead of raw conversation history.
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venturebeat.com
AI agent memory: MRAgent cuts token use up to 27x | VentureBeat
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
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microsoft.com
Memora scales agent memory to boost long-horizon productivity
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…
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computerworld.com
Microsoft unveils Memora to tackle AI agents’ memory problem
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based retrieval instead of raw conversation history.
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infoworld.com
How to improve the memory of AI agents
Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three important ways.