---
format: "aidr-story-markdown/v1"
id: "03d047e1c63e7e2f9b0263df2075f566686409cfeb0b06d70f8b11daf7b4e9df"
canonical_url: "https://aidr.today/03d047e1?lang=en"
title: "Cache Engineering for Agents"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
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published_at: "2026-10-22T00:00:00.000Z"
category: "Research"
topics: ["agent"]
source_urls: ["https://huggingface.co/papers/2610.28577"]
summary: "Researchers propose cache engineering as a method for LLM agents to directly control their active KV cache without modifying the trajectory or re-prefilling retained context, using drop to exclude selected cache from future attention and repos to adjust retained keys' position encodings."
---

# Cache Engineering for Agents

> [Open the canonical story](<https://aidr.today/03d047e1?lang=en>)

**Published:** 2026-10-22T00:00:00.000Z
**Category:** Research
**Topics:** agent

## Summary

Researchers propose cache engineering as a method for LLM agents to directly control their active KV cache without modifying the trajectory or re\-prefilling retained context, using drop to exclude selected cache from future attention and repos to adjust retained keys' position encodings\.

## Sources

- [Story source](<https://huggingface.co/papers/2610.28577>)