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arXiv 2610.28577 · cs.CL · 2026-10-20

Cache Engineering for Agents

Tianyu Fu, Ruoxi Wang, Zihan Min, Zhongqi Ren, Zhihao Li, Tengxuan Liu, Shengxu Mu, Hanling Zhang and 1 more

Tsinghua-NICS-EFC

In latest · #40 Added on 2026-10-23

One-line takeaway

Tsinghua researchers propose cache engineering: agents directly edit their KV cache (drop entries, reposition keys) instead of trimming or summarising history, avoiding re-prefill; with the co-designed AKV engine, a rolling-drop policy cuts average cost by 27.7% and adds 1.7 benchmark points vs summarisation.

清华团队提出“缓存工程”:让智能体直接操作自己的 KV Cache(drop 丢弃、repos 调整位置编码),而不是裁剪或总结历史,避免重新预填充;配套 AKV 推理引擎,相比阈值触发的摘要方案平均成本降 27.7%、基准分高 1.7 分。

159HF upvotes
100GitHub stars
0Citations (Semantic Scholar)
67.3Buzz score

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