The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

Sometimes, we search for information in long-term memory and find it—a name, a movie title, or a vivid example to support a general conclusion. Other times, we're unable to recall what we believe we ...

Past neuroscience research has pinpointed many of the neural processes through which the human brain forms, stores and retrieves important information, such as domain-specific knowledge and memories.

Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is targeting now has the same structure but is harder to solve: production AI agents ...