mrbaeksang/deepcloak

🛡️ 深斗篷

本地优先研究，明确执行取物决策和证据。

一个围绕本地深度研究和 CloakBrowser 的 CLI 和 MCP 包装程序。它会在浏览器中重试选择失败的取用并记录结果。成功取决于源代码及其访问控制。

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快速入门 ·工作原理 ·代理（MCP）的使用情况 ·我们为何构建它 ·更新日志

▶ 现场演示 — deepcloak.vercel.app ·▶在YouTube观看

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问题所在

你问一个研究工具一个问题。最好的一半资料都藏在机器人墙后面——Cloudflare、Datadome、Turnstile、reCAPTCHA。其他工具都有一个403]，默默地丢掉那些页面，然后给你一份更薄的报告。你甚至永远不知道它漏掉了什么。

深斗风所做的事

当一个普通的取物触发机器人墙时，DeepCloak会升级将该URL升级为隐秘取物并绕过墙——恢复其他特工遗弃的内容。然后它会在每份报告底部告诉你它突破了多少堵墙。

它是一个薄弱的、以本地为先的编排器，覆盖在两个伟大的项目上：local-deep-research（研究循环）和CloakBrowser（隐形浏览器）。

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The problem

You ask a research tool a question. Half the best sources sit behind a Bot Wall — Cloudflare, Datadome, a Turnstile, a reCAPTCHA. Every other tool gets a 403, silently drops those pages, and hands you a thinner report. You never even learn what it missed.

What DeepCloak does

When a plain fetch hits a Bot Wall, DeepCloak Escalates that one URL to a Stealth Fetch and Bypasses the wall — recovering the content other agents abandon. Then it tells you, at the bottom of every report, exactly how many walls it broke through.

It’s a thin, local-first orchestrator over two great projects: local-deep-research (the research loop) and CloakBrowser (the stealth browser). Use it as a CLI, an MCP server, or a Claude skill. MIT.

🌑 Why we built this

The open web is quietly closing. More of the best writing now sits behind a bot check, and AI research agents — the tools we increasingly trust to read the web for us — go blind at exactly those doors, without ever saying so. A report that silently skips every walled source isn’t neutral; it’s wrong in a way you can’t see.