Did You Check the Right Pocket? Cost-Sensitive Store Routing for Memory-Augmented Agents
#cost-sensitive routing #memory-augmented agents #store routing #AI optimization #computational efficiency
📌 Key Takeaways
- The article introduces a cost-sensitive store routing method for memory-augmented agents.
- It addresses efficiency in accessing memory stores by optimizing routing decisions based on cost.
- The approach aims to reduce computational or time costs in agent operations.
- It highlights applications in AI systems where memory management impacts performance.
📖 Full Retelling
arXiv:2603.15658v1 Announce Type: new
Abstract: Memory-augmented agents maintain multiple specialized stores, yet most systems retrieve from all stores for every query, increasing cost and introducing irrelevant context. We formulate memory retrieval as a store-routing problem and evaluate it using coverage, exact match, and token efficiency metrics. On downstream question answering, an oracle router achieves higher accuracy while using substantially fewer context tokens compared to uniform ret
🏷️ Themes
AI Efficiency, Memory Management
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Original Source
arXiv:2603.15658v1 Announce Type: new
Abstract: Memory-augmented agents maintain multiple specialized stores, yet most systems retrieve from all stores for every query, increasing cost and introducing irrelevant context. We formulate memory retrieval as a store-routing problem and evaluate it using coverage, exact match, and token efficiency metrics. On downstream question answering, an oracle router achieves higher accuracy while using substantially fewer context tokens compared to uniform ret
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