AI RESEARCH

Rethinking Memory as Continuously Evolving Connectivity

arXiv CS.AI

ArXi:2605.28773v1 Announce Type: cross Existing memory-augmented LLM agents often treat memory as a static repository with pre-defined representations and fixed retrieval pipelines, which is brittle in dynamic agentic environments where feedback, task variation, and heterogeneous signals continuously reshape what should be remembered and how it should be connected.