AI RESEARCH
Knowledge Access Beats Model Size: Memory Augmented Routing for Persistent AI Agents
arXiv CS.CL
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ArXi:2603.23013v1 Announce Type: new Production AI agents frequently receive user-specific queries that are highly repetitive, with up to 47\% being semantically similar to prior interactions, yet each query is typically processed with the same computational cost. We argue that this redundancy can be exploited through conversational memory, transforming repetition from a cost burden into an efficiency advantage.