Artificial Intelligence — Technical Requirements for Agents (GB/Z 242-2026, national standardization guidance document)
Standardization Administration of China (SAC)
Standard body: GB/Z (not covered by the landscape yet)
Abstract
One of five AI-related national standardization guidance documents (GB/Z) whose release was reported by Xinhua on 30 September 2026 (report dateline 2026-09-30, standard release date not separately given; no public full text located at collection time, so scope is stated only as described by the official report). Verbatim from the report: the standard "围绕感知、规划、执行、记忆、工具调用等关键能力提出规范,为智能体自主任务执行提供技术指引" (specifies requirements around key capabilities such as perception, planning, execution, memory and tool invocation, providing technical guidance for autonomous task execution by agents). It was released alongside GB/Z 222-2026 (Artificial Intelligence — Model-as-a-Service (MaaS) performance specification), GB/Z 253-2026 and GB/Z 236-2026 (retrieval-augmented generation technical requirements and evaluation metrics) and GB/Z 228-2026 (home large-model technical requirements). The report notes the five documents provide unified technical specifications for large-model service evaluation, knowledge augmentation, agent capability building and smart-home applications.
Cite this entry
GB/T 7714-2015
Standardization Administration of China (SAC). Artificial Intelligence — Technical Requirements for Agents (GB/Z 242-2026, national standardization guidance document)[S/OL]. National standardization guidance document (GB/Z); release reported by Xinhua on 2026-09-30, 2026(2026-09-30)[2026-10-05]. https://www.zj.news.cn/20260930/9f1e73db776c4ddfa4857d997a4aacec/c.html.
BibTeX
@techreport{sac2026,
author = {Standardization Administration of China (SAC)},
title = {Artificial Intelligence — Technical Requirements for Agents (GB/Z 242-2026, national standardization guidance document)},
year = {2026},
organization = {National standardization guidance document (GB/Z); release reported by Xinhua on 2026-09-30},
howpublished = {\url{https://www.zj.news.cn/20260930/9f1e73db776c4ddfa4857d997a4aacec/c.html}},
} This entry is part of the AgentNet Observer library. Attribute with a link to this page when quoting.