[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fD95647zpMPspJL7xZQpdudW9GEawHmHGgePLb3chVmU":3,"tool-rea-reverse-engineer":16},{"siteName":4,"siteDescription":5,"siteUrl":6,"contactEmail":7,"socialLinks":8,"analyticsCode":10,"seo":11},"AllAI App","Call 500+ AI models through one compliant API KEY. Discover 35,000+ AI tools across 21 categories. Compare, test all ai app in one platform.","https:\u002F\u002Fallaiapp.com","contact@allaiapp.com",{"twitter":9,"github":9,"discord":9,"linkedin":9,"youtube":9},"","\u003C!-- Google tag (gtag.js) -->\n\u003Cscript async src=\"https:\u002F\u002Fwww.googletagmanager.com\u002Fgtag\u002Fjs?id=G-3NJE4SY4LE\">\u003C\u002Fscript>\n\u003Cscript>\n  window.dataLayer = window.dataLayer || [];\n  function gtag(){dataLayer.push(arguments);}\n  gtag('js', new Date());\n\n  gtag('config', 'G-3NJE4SY4LE');\n\u003C\u002Fscript>\n\u003C!-- Baidu Tongji (hm.js) -->\n\u003Cscript>\nvar _hmt = _hmt || [];\n(function() {\n  var hm = document.createElement(\"script\");\n  hm.src = \"https:\u002F\u002Fhm.baidu.com\u002Fhm.js?ee51358c8d4491dea1125cfc1d47a169\";\n  var s = document.getElementsByTagName(\"script\")[0];\n  s.parentNode.insertBefore(hm, s);\n})();\n\u003C\u002Fscript>",{"titleTemplate":12,"metaKeywords":13,"ogImage":14,"twitterSite":9,"defaultRobots":15,"googleVerify":9,"bingVerify":9,"baiduVerify":9,"organizationLogo":14},"%s | AllAI App","AI KEY,AI API KEY,Deepseek Key,Chatgpt Key,OpenAi Key,AI tools, AI directory, AI API gateway, AI models, artificial intelligence,","https:\u002F\u002Fallaiapp.com\u002Fog-image.png","index, follow",{"tool":17,"related":193},{"slug":18,"name":19,"cnName":19,"cn_name":19,"url":20,"github":21,"pricingUrl":20,"category":22,"subcategory":23,"categories":24,"pricing":26,"priceFrom":27,"accent":28,"platforms":29,"inputs":36,"outputs":41,"languages":44,"tags":46,"capabilities":60,"rating":66,"votes":27,"reviewCount":27,"saves":27,"foundedYear":67,"founded":67,"developer":68,"verified":69,"editorPick":69,"featured":69,"status":70,"addedAt":71,"lastUpdated":71,"updatedAt":71,"en":72,"zh":133},"rea-reverse-engineer","REA","https:\u002F\u002Frea.tools","https:\u002F\u002Fgithub.com\u002Fmorluto\u002Frea","code","dev-platforms",[22,25],"research","free",0,"#F59E0B",[30,31,32,33,34,35],"CLI","MCP","Claude Code","Codex","Cursor","Gemini CLI",[37,38,39,40],"file","binary","app","url",[22,42,43],"analysis","report",[45],"en",[47,48,49,31,50,51,52,53,54,55,56,57,58,59],"reverse engineering","decompiler","disassembler","binary analysis","static analysis","Ghidra","Hopper","IDA","CTF","security research","open source","developer tools","agent skills",[61,62,63,64,65],"reverse-engineering","binary-analysis","decompilation","app-inspection","code-reconstruction",4.8,2026,"morluto",false,"active","2026-10-11",{"tagline":73,"description":74,"features":75,"pros":84,"cons":90,"useCases":95,"pricingTiers":101,"faq":117},"Reverse engineer anything with agents — from app behavior down to native binaries.","REA (Reverse Engineer Anything) is a free, open-source (MIT) MCP server that lets AI agents inspect applications without their source code. It connects Claude Code, Codex, Cursor, Gemini CLI and other agents to tools for analyzing native binaries, JavaScript and Electron apps, .NET assemblies, Android APKs, websites, firmware and more — returning pseudocode, assembly, modules, imports, evidence and limitations behind each conclusion. Ask your agent to understand how a feature in any app works, show the evidence, and build a similar version for your own project. Deep native analysis uses Hopper, Ghidra or IDA; static JavaScript and .NET inspection work without a native engine. All analysis runs locally (nothing is uploaded) and the same tools are available from the terminal via the rea CLI. 65.2K GitHub stars. Setup: npx rea-agents setup; CLI: npm install --global rea-agents.",[76,77,78,79,80,81,82,83],"One MCP server for reverse engineering across binaries, apps and runtime behavior","Inspect native binaries with pseudocode, assembly, strings, symbols and call graphs (Hopper, Ghidra or IDA)","Analyze JavaScript and Electron apps: modules, imports, source maps, routes, IPC and native add-on relationships","Static .NET assembly inspection: metadata, CIL instructions, native dependencies and build comparisons","Android support: APK decompilation (JADX), device\u002Fprocess dumps, resources and manifests","Websites, HAR\u002Fnetwork captures, firmware, EVM bytecode, ELF layout and recorded crash analysis","Run the same workflows from the terminal with the rea CLI (npx rea-agents \u002F npm i -g rea-agents)","Fully local analysis — targets and results never leave your machine",[85,86,87,88,89],"Understand how any app feature works down to the binary level without source code","Supports an unusually wide range of targets (binaries, Electron, .NET, Android, web, firmware)","Evidence-backed results with clearly stated limitations","Free and open source under MIT with an active community (65.2K stars)","Works with all major coding agents via MCP and from the terminal",[91,92,93,94],"Deep native analysis requires a paid tool (Hopper, Ghidra or IDA) as a provider","Requires Node.js 22+\u002F24+\u002F26+ and npm for setup","Best experience assumes familiarity with CLI and agent workflows","Results quality depends on the target, provider and the model doing the reconstruction",[96,97,98,99,100],"Understand how a feature in any desktop or mobile app works and rebuild it in your own project","Security research, vulnerability analysis and CTF reverse engineering","Inspect a suspicious binary or Electron app before running it","Recover algorithms from legacy binaries (e.g. DOS games) and port them to modern code","Trace web app behavior and network flows for interoperability or compliance review",[102,110],{"name":103,"price":104,"period":105,"features":106},"Open Source (MIT)","0","forever",[107,108,109],"MCP server + rea CLI free","All analysis targets","Local, no upload",{"name":111,"price":112,"period":113,"features":114},"Native analysis engines","paid \u002F BYO","third-party",[115,116],"Hopper, Ghidra or IDA used for deep native analysis","Static JS\u002F.NET analysis needs no engine",[118,121,124,127,130],{"q":119,"a":120},"Is REA free?","Yes. REA is open source under the MIT license; the MCP server and CLI are free. Deep native analysis optionally uses third-party tools (Hopper, Ghidra or IDA) you already have.",{"q":122,"a":123},"Which agents can use REA?","Any agent that supports local MCP servers. Setup configures Claude Code, Codex, Cursor, Gemini CLI, Grok Build and others; other clients can use manual MCP registration.",{"q":125,"a":126},"Does REA upload my app?","No. Analysis runs locally and your agent receives the tool results; the model provider's own data policy applies to the conversation.",{"q":128,"a":129},"What do I get from a native binary?","Pseudocode, assembly, strings, symbols, calls and references; for JavaScript\u002FElectron you get modules, imports, routes, IPC and native add-on relationships.",{"q":131,"a":132},"How do I install it?","Run npx rea-agents setup, choose your agents and approve the changes; restart your agent afterwards. For the CLI: npm install --global rea-agents.",{"tagline":134,"description":135,"features":136,"pros":145,"cons":151,"useCases":156,"pricingTiers":162,"faq":177},"用 Agent 逆向一切——从应用行为到原生二进制。","REA（Reverse Engineer Anything）是一个免费开源的（MIT）MCP 服务器，让 AI 代理在没有源代码的情况下检查应用程序。它把 Claude Code、Codex、Cursor、Gemini CLI 等代理连接到分析工具，可分析原生二进制、JavaScript 和 Electron 应用、.NET 程序集、Android APK、网站、固件等，并返回伪代码、汇编、模块、导入关系以及每条结论的证据和局限。你可以让代理理解任何应用中的某个功能是如何工作的、展示证据，并为自己的项目重建类似功能。深度原生分析使用 Hopper、Ghidra 或 IDA；静态 JavaScript 和 .NET 检查无需原生引擎。所有分析都在本地进行（不上传任何内容），同样的工具也可通过 rea CLI 在终端使用。GitHub 65.2K stars。安装：npx rea-agents setup；CLI：npm install --global rea-agents。",[137,138,139,140,141,142,143,144],"一个 MCP 服务器，跨二进制、应用和运行时行为做逆向工程","原生二进制分析：伪代码、汇编、字符串、符号和调用图（Hopper、Ghidra 或 IDA）","JavaScript\u002FElectron 应用分析：模块、导入、source map、路由、IPC 和原生插件关系",".NET 程序集静态检查：元数据、CIL 指令、原生依赖和构建对比","Android 支持：APK 反编译（JADX）、设备\u002F进程转储、资源和 manifest","网页、HAR\u002F网络抓包、固件、EVM 字节码、ELF 布局和崩溃记录分析","同一套工作流也可通过 rea CLI 在终端使用（npx rea-agents \u002F npm i -g rea-agents）","完全本地分析——目标和结果不会离开你的机器",[146,147,148,149,150],"没有源代码也能理解任何应用功能，细到二进制层面","支持目标极广（二进制、Electron、.NET、Android、网页、固件）","结论带证据，并明确标注局限性","MIT 免费开源，社区活跃（65.2K stars）","通过 MCP 兼容所有主流编码 Agent，也可在终端使用",[152,153,154,155],"深度原生分析需要第三方付费工具（Hopper、Ghidra 或 IDA）作为引擎","安装需要 Node.js 22+\u002F24+\u002F26+ 和 npm","最佳体验要求熟悉 CLI 和 Agent 工作流","结果质量取决于目标、引擎和重建时所用模型",[157,158,159,160,161],"理解任何桌面\u002F移动应用某功能原理，并在自己的项目里重建","安全研究、漏洞分析和 CTF 逆向","运行前检查可疑的二进制或 Electron 应用","从老旧二进制（如 DOS 游戏）恢复算法并移植到现代代码","追踪网页应用行为和网络流程，用于互操作或合规审查",[163,170],{"name":164,"price":104,"period":165,"features":166},"开源版（MIT）","永久",[167,168,169],"MCP 服务器 + rea CLI 免费","支持全部分析目标","本地分析，不上传",{"name":171,"price":172,"period":173,"features":174},"原生分析引擎","自带\u002F付费","第三方",[175,176],"深度原生分析使用 Hopper、Ghidra 或 IDA","静态 JS\u002F.NET 分析无需引擎",[178,181,184,187,190],{"q":179,"a":180},"REA 免费吗？","免费。REA 基于 MIT 协议开源，MCP 服务器和 CLI 都免费；深度原生分析可选用你已经有的第三方工具（Hopper、Ghidra 或 IDA）。",{"q":182,"a":183},"哪些 Agent 可以用 REA？","任何支持本地 MCP 服务器的 Agent。安装向导可配置 Claude Code、Codex、Cursor、Gemini CLI、Grok Build 等，其他客户端可手动注册 MCP。",{"q":185,"a":186},"REA 会上传我的应用吗？","不会。分析在本地进行，Agent 接收工具结果；对话内容的隐私按模型提供方的数据政策处理。",{"q":188,"a":189},"原生二进制能得到什么？","伪代码、汇编、字符串、符号、调用和引用；JavaScript\u002FElectron 则返回模块、导入、路由、IPC 和原生插件关系。",{"q":191,"a":192},"如何安装？","运行 npx rea-agents setup，选择你的 Agent 并批准改动，然后重启 Agent；CLI 用 npm install --global rea-agents。",[194,230,253,274,294,315,335,358,382,403,425,447],{"slug":195,"name":196,"category":22,"categories":197,"subcategory":23,"pricing":26,"url":198,"logo":9,"accent":199,"tags":200,"rating":203,"saves":204,"editorPick":69,"priceFrom":205,"reviewCount":27,"updatedAt":9,"platforms":206,"monthlyVisits":9,"inputs":213,"outputs":216,"siteHealth":217,"en":223,"zh":226,"similarity":229},"github-32","PGVector",[],"https:\u002F\u002Fgithub.com\u002Fpgvector\u002Fpgvector","#9C27B0",[201,202],"AI Code","Developer Tools",4.1,9918,"Free",[207,208,209,210,211,212],"Web","Windows","Mac","Linux","iOS","Android",[214,215],"Text","Code",[215,214],{"status":218,"http":219,"latencyMs":220,"finalUrl":198,"checkedAt":221,"title":222,"lang":45},"alive",200,664,"2026-09-29T09:45:15Z","GitHub - pgvector\u002Fpgvector: Open-source vector similarity search for Postgres",{"tagline":224,"description":225},"Postgres vector extension.","Open-source vector similarity search for Postgres. Contribute to pgvector\u002Fpgvector development by creating an account on GitHub.",{"tagline":227,"description":228},"AI驱动的code工具","PGVector 是一个 PostgreSQL 扩展，用于存储和查询向量数据。它支持精确和近似最近邻搜索，并集成了多种索引类型，如 HNSW 和 IVFFlat。该扩展易于安装，无需额外服务，可直接在现有 PostgreSQL 数据库中使用。适用于推荐系统、图像检索和自然语言处理等场景。",73,{"slug":231,"name":232,"category":22,"categories":233,"subcategory":23,"pricing":26,"url":234,"logo":9,"accent":235,"tags":236,"rating":66,"saves":238,"editorPick":69,"priceFrom":205,"reviewCount":27,"updatedAt":9,"platforms":239,"monthlyVisits":9,"inputs":241,"outputs":242,"siteHealth":243,"en":249,"zh":251,"similarity":229},"learn","Semantic Kernel",[],"https:\u002F\u002Flearn.microsoft.com\u002Fsemantic-kernel","#2196F3",[201,202,237],"Editor's Pick",9722,[207,240],"API",[214,215],[215,214],{"status":218,"http":219,"latencyMs":244,"finalUrl":245,"checkedAt":246,"title":247,"lang":248},223,"https:\u002F\u002Flearn.microsoft.com\u002Fen-us\u002Fsemantic-kernel\u002F","2026-10-09T09:39:17Z","Semantic Kernel documentation","en-us",{"tagline":250,"description":250},"Microsoft's AI orchestration SDK.",{"tagline":227,"description":252},"Semantic Kernel 是微软推出的 AI 编排 SDK，旨在帮助开发者将大型语言模型集成到应用程序中。它支持多种编程语言，如 Python、JavaScript 和 TypeScript，并提供代码补全、错误检测和代码解释等功能，以提升开发效率。作为免费的开源工具，它适合希望在项目中引入 AI 能力的开发者。",{"slug":254,"name":255,"category":22,"categories":256,"subcategory":23,"pricing":26,"url":257,"logo":9,"accent":258,"tags":259,"rating":66,"saves":260,"editorPick":69,"priceFrom":205,"reviewCount":27,"updatedAt":9,"platforms":261,"monthlyVisits":262,"inputs":263,"outputs":264,"siteHealth":265,"en":270,"zh":272,"similarity":229},"warp","Warp",[],"https:\u002F\u002Fwww.warp.dev","#E040FB",[201,202],9719,[207,208,209,210],902504,[214,215],[215,214],{"status":218,"http":219,"latencyMs":266,"finalUrl":267,"checkedAt":268,"title":269,"lang":45},515,"https:\u002F\u002Fwww.warp.dev\u002F","2026-10-02T15:45:05Z","Warp — The Open Platform for Automating Development",{"tagline":271,"description":271},"Warp Terminal -AI编程工具：AI命令补全+错误智能诊断：Warp Terminal是一款用Rust编写的现代化、AI驱动的终端模拟器，提供AI命令补全、自然语言解释错误、块级编辑与团队协作，帮助开发者提升命令行效率。",{"tagline":227,"description":273},"Warp Code 是 Warp 团队最新推出的AI编程工具，构建从 Prompt 到生产环境的完整 AI 辅助编程闭环，具备顶级编码 Agent、代码审查、代码编辑和项目管理等功能，让开发者能在 Warp 内高效完成从编写 Prompt 到代码生成、审查、修改直至发布的全流程，显著提升开发效率和代码质量",{"slug":275,"name":276,"category":22,"categories":277,"subcategory":23,"pricing":26,"url":278,"logo":9,"accent":279,"tags":280,"rating":203,"saves":281,"editorPick":69,"priceFrom":205,"reviewCount":27,"updatedAt":9,"platforms":282,"monthlyVisits":9,"inputs":283,"outputs":284,"siteHealth":285,"en":289,"zh":292,"similarity":229},"github-30","TensorRT-LLM",[],"https:\u002F\u002Fgithub.com\u002FNVIDIA\u002FTensorRT-LLM","#4CAF50",[201,202],9646,[207,208,209,210,211,212],[214,215],[215,214],{"status":218,"http":219,"latencyMs":286,"finalUrl":278,"checkedAt":287,"title":288,"lang":45},620,"2026-09-29T10:45:12Z","GitHub - NVIDIA\u002FTensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models",{"tagline":290,"description":291},"NVIDIA's LLM inference optimizer.","TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. Tensor...",{"tagline":227,"description":293},"TensorRT-LLM 是 NVIDIA 推出的 LLM 推理优化工具，专注于提升大型语言模型的推理性能。它通过先进的优化技术，加速模型在 NVIDIA GPU 上的运行，降低延迟并提高吞吐量。该工具适用于多种编程语言，提供代码补全、实时错误检测和代码解释等功能，帮助开发者更高效地编写和调试代码。TensorRT-LLM 完全免费，是开发者优化 LLM 推理的理想选择。",{"slug":295,"name":296,"category":22,"categories":297,"subcategory":23,"pricing":26,"url":298,"logo":9,"accent":299,"tags":300,"rating":66,"saves":301,"editorPick":69,"priceFrom":205,"reviewCount":27,"updatedAt":9,"platforms":302,"monthlyVisits":9,"inputs":303,"outputs":304,"siteHealth":305,"en":310,"zh":313,"similarity":229},"sdk","Vercel AI SDK",[],"https:\u002F\u002Fsdk.vercel.ai","#F7931E",[201,202],9537,[207,240],[214,215],[215,214],{"status":218,"http":219,"latencyMs":306,"finalUrl":307,"checkedAt":308,"title":309,"lang":45},196,"https:\u002F\u002Fai-sdk.dev\u002F","2026-10-09T09:39:20Z","AI SDK",{"tagline":311,"description":312},"Open-source library for building AI-powered apps","A unified TypeScript SDK for building AI apps with modern streaming, fallbacks, and multi-model support—powered by Vercel.",{"tagline":227,"description":314},"Vercel AI SDK 是一个开源的库，用于构建由人工智能驱动的应用程序。它提供代码审查、上下文感知的代码补全以及集成主流开发环境的功能，帮助开发者提高编码效率和代码质量。该工具注重隐私保护，并提供良好的 IDE 集成体验。不过，部分高级功能需要订阅，且在处理大型代码库时，建议速度可能会变慢。",{"slug":316,"name":317,"category":22,"categories":318,"subcategory":23,"pricing":26,"url":319,"logo":9,"accent":199,"tags":320,"rating":322,"saves":323,"editorPick":69,"priceFrom":205,"reviewCount":27,"updatedAt":9,"platforms":324,"monthlyVisits":9,"inputs":325,"outputs":326,"siteHealth":327,"en":331,"zh":333,"similarity":229},"containers","Dev Containers",[],"https:\u002F\u002Fcontainers.dev",[201,202,321],"Trending",4.7,9528,[207,240],[214,215],[215,214],{"status":218,"http":219,"latencyMs":328,"finalUrl":329,"checkedAt":308,"title":330,"lang":45},140,"https:\u002F\u002Fcontainers.dev\u002F","Development containers",{"tagline":332,"description":332},"VS Code dev containers for reproducible envs.",{"tagline":227,"description":334},"Dev Containers 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