Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents

Excerpt

arXiv:2607.13591v2 Announce Type: replace-cross Abstract: Large Language Model (LLM) agents increasingly rely on external memory systems to accumulate experience across tasks. Yet nearly all existing approaches, from graph-structured memories to reflective insight stores, access memory through fixed, hand-designed heuristics. We argue that this static view of memory is a core bottleneck for agentic learning because optimal memory behavior is fundamentally context-dependent. The early stages of t