AIBullisharXiv – CS AI · Mar 67/10
🧠
AMV-L: Lifecycle-Managed Agent Memory for Tail-Latency Control in Long-Running LLM Systems
Researchers introduce AMV-L, a new memory management framework for long-running LLM systems that uses utility-based lifecycle management instead of traditional time-based retention. The system improves throughput by 3.1x and reduces latency by up to 4.7x while maintaining retrieval quality by controlling memory working-set size rather than just retention time.