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Memory Tax: Dissecting the Net Value of Agent Memory

150 upvotes · 25 OCT 2026 · Xuan He, Sining Zhoubian, Ruozhen Yang et al.

This paper investigates the net value of agent memory in long-horizon agents, finding that dedicated memory systems often underperform without memory in many cases. Practitioners may care because understanding the net value of memory can help design more reliable and effective memory systems.

continual learningagent architecturememory-augmented modelsevaluation benchmarksreinforcement learning