AI RESEARCH
MemCog: From Memory-as-Tool to Memory-as-Cognition in Conversational Agents
arXiv CS.AI
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ArXi:2605.28046v1 Announce Type: new Existing agent memory systems universally follow what we term a Memory-as-Tool paradigm where a single query triggers one-shot retrieval of flat passage lists, suffering from passive invocation, reasoning-retrieval decoupling, and structural mismatch between retrieved fragments and the agent's navigational needs. We propose MemCog, a Memory-as-Cognition system that makes memory access an integral part of the reasoning process.