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Cache Engineering for Agents
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
An arXiv paper introduces cache engineering techniques to manage KV cache I/O, storage costs, and context limits for long-trajectory LLM agents.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 21 October 2026
- Collected by OneBench
- 22 Oct 2026, 03:01 UK
- Original headline
- Cache Engineering for Agents ↗
Stored source excerpt
arXiv:2610.28577v1 Announce Type: new Abstract: Large Language Model (LLM) agents can handle increasingly complex tasks, navigating long trajectories of observations and actions. As these trajectories…
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