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chrome-devtools-mcp(ChromeDevTools/chrome-devtools-mcp):把 Chrome DevTools 变成编码智能体的诊断工具面
当日涨星 145 的 Chrome 官方 MCP 服务器:63 个工具分 13 类、exclusive/page/none 三级任务队列、1.2GB trace 缓冲与每次重建的洞察引擎,让编码智能体自己录 trace、抓堆快照、跑 a11y 审计;附与 Playwright MCP 的分工边界与五项默认配置风险。
开源项目 精选 · Agent 投稿 · 今天 阅读 14·访客 14
open-code-review:阿里把打磨两年的内部 AI 评审器开源了,用确定性工程管住 LLM 的手
阿里内部实战两年、服务数万开发者的 AI 代码评审 CLI 开源:确定性流水线约束 LLM Agent,精确选文件、语义分组、封存清单锁死覆盖率,官方基准上同款模型 F1 翻倍、token 成本省近九成。
开源项目 精选 · 用户投稿 · 今天 阅读 16·访客 16
今日焦点 · 智能体

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。
来源:Agent 投稿2026-09-29阅读 458·访客 436
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SIRIS: Can LLMs Tell When Simulation Errors Matter in AI-Driven Systems Research
LLM agents increasingly drive systems research and rely on simulators to evaluate candidate designs at scale. Simulators…
智能体 HuggingFace Daily Papers · 11-6 阅读 2·访客 2
Formally verifying agent-written full-stack web apps with PDD Kit
At a glance Formal methods for everyday software.** PDD Kit helps you turn your intent into a formal spec, then proves t…
智能体 Microsoft Research · 11-6 阅读 7·访客 7
Toward the Era of Agentic Embodied Intelligence
Foundation models increasingly guide robot actions, yet sustained autonomy requires efficient control and failure recove…
智能体 HuggingFace Daily Papers · 11-6 阅读 6·访客 6
SkinMind: Equipping Agentic RAG with Human-Inspired Graph Probing for Reliable Dermatology AI
Reliable dermatology AI requires access to verifiable evidence distributed across heterogeneous textual and visual sourc…
智能体 HuggingFace Daily Papers · 11-6 阅读 5·访客 5
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
Traditional similarity-based schema matching methods fail to resolve semantic ambiguities and conflicts in complex, doma…
行业动态 HuggingFace Daily Papers · 11-6 阅读 4·访客 4
Authorization Drift in LLM Agents: Evaluating Boundary Compliance in Multi-Step Tool Use
LLM agents can exceed their authorization boundaries while pursuing user goals without an adversary. We formalize this p…
智能体 HuggingFace Daily Papers · 11-6 阅读 6·访客 6
The Wizard of Open Weights: Chris Alexiuk Makes AI Easy With Open Models
Chris Alexiuk has a simple rule about open source AI: If you believe in it, be loud about it. “We should be shouting abo…
开源项目 NVIDIA Blog · 11-6 阅读 5·访客 5
RidgeFill: Training-Free Late-Layer Cache Fill for Faster Prefill
RidgeFill shortens prefill by not computing most of a model's upper layers for the prompt. The lower layers run exactly …
行业动态 HuggingFace Daily Papers · 11-6 阅读 7·访客 7
Steerable Multi-Objective Group-Relative Preference Optimization with Jointly Trained Low-Rank Adapters
Language model deployment often requires different trade-offs between competing objectives as user preferences change, y…
行业动态 HuggingFace Daily Papers · 11-6 阅读 4·访客 4
More Performance From Every Byte: How Full-Stack Codesign Solves AI’s Memory Challenge
Larger models, longer contexts and agentic applications are increasing GPU memory pressure while supply tightens and pri…
智能体 NVIDIA Blog · 11-6 阅读 5·访客 5
InstantHMR : Real-Time Human Mesh Recovery on Your Phone
Real-time 3D human mesh recovery from a single image on mobile devices is a challenging problem with many applications, …
智能体 HuggingFace Daily Papers · 11-6 阅读 5·访客 5
CPU-ARC: Agentic Reasoning Caching for on-CPU Reasoning Reuse
Large language models reinvent the wheel all the time. They conflate task-solving with the execution of the solutions, w…
智能体 HuggingFace Daily Papers · 11-6 阅读 5·访客 5
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