RESEARCHMonitorWATCHLIST
Harnessing LLMs as Agents: What Does It Cost?
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers propose the Language Model Agent Machine framework to quantify harness-level computational and execution costs for AI agents.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 October 2026
- Collected by OneBench
- 6 Oct 2026, 03:02 UK
- Original headline
- Harnessing LLMs as Agents: What Does It Cost? ↗
Stored source excerpt
arXiv:2610.02488v1 Announce Type: new Abstract: Language-model agents increasingly rely on harnesses that manage bounded context, persistent memory, tools, verification, and repeated execution, yet existing notions…
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