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Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads

A paper characterizing agent memory systems for long-horizon tasks.

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Agent Memory: Characterization and System Implications of Stateful Long-Horizon Workloads

By Yasmine Omri, Ziyu Gan, Zachary Broveak, Robin Geens, Zexue He, Alex Pentland, Marian Verhelst, Tsachy WeissmanarXiv
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The authors present a system-oriented taxonomy of agent memory systems, profiling harness, and characterization of ten representative systems. They uncover design choices' impact on cost across write and read paths and derive system recommendations.

Abstract

The authors present a system-oriented taxonomy of agent memory systems, profiling harness, and characterization of ten representative systems. They uncover design choices' impact on cost across write and read paths and derive system recommendations.

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agent memorylong-horizon taskssystem characterizationtaxonomyprofiling harnesscost analysisAgent MemoryAI AgentsLarge Language ModelsContent Engineering
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