Briefing: Did You Check the Right Pocket? Cost-Sensitive Store Routing for Memory-Augmented Agents

Memory-augmented agents are designed to utilize multiple specialized stores for data retrieval. However, existing systems often query all stores for each request.

This universal retrieval method leads to increased operational costs and the introduction of irrelevant context in responses, which can degrade performance.

The newly proposed formulation aims to optimize memory retrieval by implementing a cost-sensitive routing strategy, potentially enhancing both efficiency and relevance.