Draft:Agent runtime
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Submission declined on 2 September 2025 by Pythoncoder (talk).
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| Submission declined on 1 September 2025 by Pythoncoder (talk). Your draft shows signs of having been generated by a large language model, such as ChatGPT. Their outputs usually have multiple issues that prevent them from meeting our guidelines on writing articles. These include: Declined by Pythoncoder 20 days ago.
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An agent runtime is a software execution environment that supports the operation of autonomous AI agents, described in technology publications as a managed layer providing functions like orchestration and security.[1]
History and reception
[edit]The term appeared in academic research in the early 2020s, with preprints describing runtime modules for agent memory, scheduling, and tool use.[2] Industry analysts have noted that the practical reliability of AI agents often falls short of their promised capabilities.[3]
Security and governance
[edit]Computer security research has proposed using the agent runtime for security enforcement, for example by analyzing an agent's runtime trace to detect attacks and apply safety policies.[4]
See also
[edit]References
[edit]- ^ "AWS looks to supercharge AI agents with Bedrock AgentCore". TechRadar Pro. 17 June 2025. Archived from the original on 4 August 2025. Retrieved 1 September 2025.
- ^ Mei, Kai; Zhu, Xi; Xu, Wujiang; Hua, Wenyue; Jin, Mingyu; Li, Zelong; Xu, Shuyuan; Ye, Ruosong; Ge, Yingqiang; Zhang, Yongfeng (25 March 2024). "AIOS: LLM Agent Operating System". arXiv preprint. arXiv:2403.16971.
- ^ Vincent, James (28 April 2025). "AI Agents Promise a Jarvis-Like Future — Here's What They Can Really Do Today". The Verge. Archived from the original on 31 August 2025. Retrieved 1 September 2025.
- ^ Wang, Peiran; Liu, Yang; Lu, Yunfei; Cai, Yifeng; Chen, Hongbo; Yang, Qingyou; Zhang, Jie; Hong, Jue; Wu, Ye (2 August 2025). "AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Detect LLM Agent Attacks". arXiv preprint. arXiv:2508.01249.
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