深度研究｜Agent 沙箱技术核心架构方案：从 microVM 隔离到硬件加速快照的七层设计
基于视频《为什么沙箱成了 AI 圈最卷的新基建》的深度延伸调研。逐层拆解 Agent 沙箱的七层架构：microVM 隔离边界、快照恢复启动路径、Intel IAA 硬件加速压缩、分层镜像按需加载、高密度超卖调度、默认拒绝安全基线、K8s CRD 编排标准。锚定 Firecracker NSDI'20、Sabre OSDI'24、DeepSeek DSec arXiv 2609.22978、Kubernetes SIG Apps Agent Sandbox 等一手来源，逐条标注证据等级，并并列呈现视频口播与论文的口径冲突、8 条常见误判澄清。
阅读全文 →
全部文章
ARCHIVE 共 745 条Anthropic can’t reliably control its AI agents. It’s cutting off its internal evals from the live internet instead
Anthropic said its models exploited websites on the internet, including some run by U.S. government agencies, and it wil…
Anthropic's Claude can now orchestrate up to 1,000 AI agents in parallel through dynamic workflows
Oct 9, 2026
Anthropic is adding dynamic workflows to its Claude Managed Agents, bringing multi-agent orchestration to th…
openJiuwen发布并开源企业级AgentOS，加速智能体规模落地企业
思邈* 2026-10-09 10:37:22 来源：量子位
多Agent协同还能自我进化
允中 发自 凹非寺
量子位 | 公众号QbitAI
智能体正在走进企业，但从演示效果到生产应用，仍有不少难关：
复杂任务链路长，多个智能体难以高效…
Cortex：通过度量门控进化与剪枝编码智能体的技能与规则
论文提出 Cortex 工具，将开发者对编码智能体 harness（项目文件、技能、规则）的修改保存为可重放任务，通过多次有/无对照运行验证净收益后才保留或删除相应技能与规则。
Meet the Underdog Saluki 27B: A 2-bit Qwen3.8-27B That Beats the Original at Tool Calling
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…
Work2Skill: Capturing Human GUI Experience for Reusable Agent Skill Induction
Computer-use agents can perform increasingly complex GUI tasks, yet unfamiliar software and workflows requiring human do…
Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark
In this paper, we study physically grounded articulated 3D asset generation---moving the goal from reproducing how objec…
联想天禧自研代码智能体TianxiCode斩获SWE-bench-Live全球第一
量子位的朋友们* 2026-10-09 16:53:08 来源：量子位
联想天禧AI自主研发的专业代码智能体框架TianxiCode 以71%的问题解决率登顶全球第一名
近日，在国际公认难度最高、最贴近真实开发环境的软件工程评测SWE-b…
早报｜苹果定档10月13日发布新品/三星手机业务或减产30%/保时捷计划削减9000个岗位
💻苹果官宣 10 月 13 日发布新品、首款触屏 MacBook Pro 月底亮相
💸曝三星手机业务四季度最高减产 30%，内存涨价压缩利润
🧠OpenAI 推出 GPT-6.1 Sol Ultrafast，速度最高提升至 8 倍
���
Google Research RRSI Guide: Mastering Self-Improving AI Agents
!(https://www.gstatic.com/images/branding/googleg/1x/googleg_standard_color_128dp.png)Add as a preferredsource on Google…
The value of information and the emergence of communication in evolved e-puck robots
We study when communication emerges between autonomous agents and what role an innate action selection architecture play…
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and chec…