NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
AWS made the AgentCore harness generally available, turning agent plumbing into a managed service and the operational layer ...
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a ...
Microsoft takes a defense-in-depth approach to protect AI memory spanning every layer of the stack: storage, retrieval, model ...
Imagine interacting with an AI assistant that not only remembers your preferences but also learns from past conversations to improve its responses over time. Whether it’s recalling your favorite ...
Imagine an AI assistant that doesn’t just follow instructions but learns from you—adapting to your preferences, refining its responses, and becoming better with every interaction. Sounds like a dream, ...
Amazon Web Services has introduced AgentCore, a managed platform specifically designed to bridge the challenging transition from AI agent prototypes to production-ready enterprise applications. The ...
A research team from Zhejiang University and Alibaba Group has introduced Memp, a framework that gives large language model (LLM) agents a form of procedural memory designed to make them more ...
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