Andrew Ng(@AndrewYNg)

OpenWorker -- an open source agent that doesn't just chat but completes tasks on your laptop -- just...

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TL;DR · AI 摘要

OpenWorker 是一个开源的 AI 代理，新增了网络安全功能，支持本地运行和多种模型集成，适用于代码漏洞扫描和云安全配置检查。

核心要点

  • OpenWorker 新增代码漏洞扫描、依赖项供应链注入检测和云安全配置检查功能
  • 支持本地运行模型或集成 ChatGPT/Ox Alpha 等模型，确保敏感数据不外泄
  • 开源的 harness 允许安全团队审计，防止后门风险

结构提纲

按章节快速跳转。

  1. §引言

    介绍 OpenWorker 新版本的发布及其在网络安全领域的应用价值

  2. ·核心功能

    新增三个网络安全代理功能：代码漏洞扫描、依赖项检测、云配置检查

  3. ›安全性保障

    开源 harness 允许审计，防止数据泄露和后门风险

  4. ·模型选择

    支持本地模型运行或集成 ChatGPT/Ox Alpha 等外部模型

  5. ›社区贡献

    感谢开源贡献者并提供 GitHub 项目链接

思维导图

用一张图看清主题之间的关系。

查看大纲文本（无障碍 / 无 JS 友好）
  • OpenWorker
    • 核心功能
      • 代码漏洞扫描
      • 供应链注入检测
      • 云配置检查
    • 安全性
      • 开源 harness 审计
      • 数据本地化存储
    • 模型集成
      • 本地模型
      • ChatGPT
      • Ox Alpha

金句 / Highlights

值得收藏与分享的关键句。

#OpenWorker#开源#网络安全#AI代理
打开原文

Andrew Ng on X: "OpenWorker -- an open source agent that doesn't just chat but completes tasks on your laptop -- just released a new version with many features for security workflows. After our initial release, many users found it especially useful for cybersecurity. Attackers are already using" / X

Andrew Ng

@AndrewYNg

OpenWorker -- an open source agent that doesn't just chat but completes tasks on your laptop -- just released a new version with many features for security workflows. After our initial release, many users found it especially useful for cybersecurity. Attackers are already using AI; OpenWorker is committed to giving defenders the same leverage. Running an agent requires both (i) A model and (ii) A harness (the software around the model). Because the OpenWorker harness is fully open source, security teams can audit it to make sure we haven't built any backdoors that exfiltrate your code and data to some company or even a foreign adversary. OpenWorker now comes with built-in cybersecurity agents for (i) Scanning your code for vulnerabilities. (ii) Scanning dependencies for supply chain injections. (iii) Checking your cloud security configuration for attack surfaces. This enables developers to do much more security work before deployment (part of what's called the "shift left" movement). You choose the model: you can run open weight models fully locally so sensitive code never leaves your machine. This helps with legitimate security work (like reproducing a known exploit to defend against it) that can trigger refusals in leading closed models. Or use your ChatGPT subscription, or stealth preview models like Ox Alpha, or any model via API key. Thanks also to all the open source contributors! Join work with

@

rohitcprasad

so please follow him too to get more frequent updates. Try it out:

openworker.com

Code:

github.com/andrewyng/open…

6:16 PM · Aug 25, 2026

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