CLI-Anything

Auto-CLI: giving coding agents a real CLI for apps that don't have an API --- title: "Auto-CLI: giving coding agents a real CLI for apps that don't have an API" published: true tags: python, ai, windows, opensource --- The problem Coding agents are good at calling CLIs and APIs. A lot of the software people use every day has neither, especially Windows desktop apps. An agent can often see the pieces: a local database, a couple of IPC hooks, the window's UI tree. But each session it rediscovers the app, guesses at commands, and leaves you to check whether anything worked. Auto-CLI does that discovery once and turns it into a CLI harness the agent can rely on, with evidence of what was actually verified. The pipeline !pipeline target app ──► REA probes ──► findings ──► surface classifier ──► scaffold ──► validator - REA reverse-engineers an app's automation surface. - Auto-CLI classifies the findings into a harness plan and generates a skeleton in CLI-Anything's layout. - verify proves findings against the live app. drive exercises IPC channels. complete generates commands from readable DB schemas and verified endpoints. gui drives Windows apps via UI Automation. - auto chains it all: recon → scaffold → verify → optional IPC drive → complete → optional GUI capture → validate. Worked example 1: a SQLite "library" app The README quickstart creates a two-row books table, then runs: python -m auto_cli auto --target library-demo --name library --out out --repl-skin repl_skin.py pip install --editable ./out/library/agent-harness cli-anything-library --json books list cli-anything-library --json books search Dune cli-anything-library export books books.csv --format csv You should see result: OK, a search hit for Dune, and a CSV with both books. complete generated a books command group (list/get/search/add/update/delete), database tests and a SKILL.md. Reads use a read-only connection. Writes require --yes and take a timestamped backup first. Worked example 2: real Windows Notepad !demo Auto-CLI generates a harness from recon and the live UI. The generated commands then write a release checklist into Notepad, read it back with ui-read-text, and export the text to release-notes.txt. The export doesn't use Notepad's Save command. The video is edited (setup waits shortened) and was tested on classic English Notepad. Modern or localized builds expose different controls, so inspect ui-tree first. New in v0.2.0: a full WordPad document round trip For native English WordPad, the generated CLI now has open, read, replace, append, bold, save-as and workflow commands. The workflow command edits a private copy of an RTF document, saves it through WordPad's real Save As dialog, reopens the result, and checks the text, the heading's bold formatting and the file's integrity. It refuses to overwrite files, refuses to run without confirmation, and rejects malformed RTF or ambiguous markers. The steps are in the Windows and WordPad guide. Generated GUI commands also now find the app by its executable and window class rather than a captured process ID, so they keep working after the app restarts, and they refuse to act if more than one window matches. There's also an optional handoff to Codex or Claude Code for richer commands and workflows (guide). In one real GUI-only handoff, the generated harness passed 18 tests. That's one run, not a benchmark. Honesty section - Still early (v0.2.0). Live GUI testing has covered Windows Notepad, Calculator and WordPad only. The WordPad test needs an interactive Windows desktop with English WordPad, so hosted CI doesn't run it. Other editors need their own document operations. - The test suite is at 278 passed, 4 skipped. Hosted CI runs it on Windows, Linux and macOS with Python 3.10 and 3.13, plus a package install check and real REA, sqlite-utils and Datasette integrations. - It doesn't implement every workflow. Auth, POST bodies, MCP and scripting surfaces need manual implementation and review. - It doesn't launch arbitrary desktop apps by default. - No agent benchmarks or success-rate claims. The verification report tells you what was checked, per finding. - Independent project, not affiliated with REA or CLI-Anything. Credit to both. Try it Windows with Git, Python 3.10+ and Node 22.19+/24.11+/26+: npm i -g rea-agents pip install "git+https://github.com/Northernator/Auto-CLI.git@v0.2.0" pytest click prompt-toolkit python -m auto_cli doctor Then paste the README's full quickstart. Repo: Northernator/Auto-CLI (MIT). Feedback I'd love: are the generated commands usable as-is, do the verification reports tell you what you need, and which Windows apps should I try next?

Cinco repos que están explotando, y uno lo regaló Google Cinco repos open source que están explotando en GitHub esta semana, y ninguno es para ti: son para tu agente de inteligencia artificial. #01 Orca (+9.401 ★ esta semana, 103.630 en total): orquesta y maneja varios agentes de IA a la vez. Los controlas desde tu móvil. stablyai/orca #02 Claude Plugins (+5.649 ★ esta semana, 44.079 en total): el directorio oficial de plugins para Claude Code. Instalas los que necesites. anthropics/claude-plugins-official #03 Scientific Agent Skills (+3.967 ★ esta semana, 54.167 en total): convierte tu agente en científico. K-Dense-AI/scientific-agent-skills #04 CLI-Anything (+3.275 ★ esta semana, 56.514 en total): vuelve cualquier software nativo para agentes con una sola línea de comando. HKUDS/CLI-Anything #05 Android Skills, del equipo de Android (+1.384 ★ esta semana, 9.386 en total): guía a tu agente para programar apps de Android. android/skills Cifras de GitHub Trending (semanal) y de la API de GitHub, consultadas el 23 de octubre de 2026. ¿Cuál le instalarías primero al tuyo? #GitHub #OpenSource #ClaudeCode #IA #InteligenciaArtificial [ar] خمسة مستودعات برمجية تشهد انتشاراً واسعاً، وأحدها قدمته جوجل هدية خمسة مستودعات مفتوحة المصدر تشهد رواجًا كبيرًا على GitHub هذا الأسبوع، وهي ليست موجهة إليك، بل إلى وكيل الذكاء الاصطناعي الخاص بك. #01 Orca (+9,401 نجمة هذا الأسبوع، 103,630 نجمة إجمالًا): نسّق وأدر عدة وكلاء ذكاء اصطناعي في آنٍ واحد. تحكّم بهم من جهازك المحمول. stablelyai/orca #02 Claude Plugins (+5,649 نجمة هذا الأسبوع، 44,079 نجمة إجمالًا): دليل الإضافات الرسمي لـ Claude Code. ثبّت الإضافات التي تحتاجها. anthropics/claude-plugins-official #03 Scientific Agent Skills (+3,967 نجمة هذا الأسبوع، 54,167 نجمة إجمالًا): حوّل وكيلك إلى عالم. #03 مهارات الوكيل العلمي (+3,967 نجمة هذا الأسبوع، 54,167 نجمة إجمالاً): حوّل وكيلك إلى عالم. K-Dense-AI/scientific-agent-skills #04 أي شيء عبر سطر الأوامر (+3,275 نجمة هذا الأسبوع، 56,514 نجمة إجمالاً): حوّل أي برنامج وكيل أصلي إلى أمر سطر واحد. HKUDS/CLI-Anything #05 مهارات أندرويد، من فريق أندرويد (+1,384 نجمة هذا الأسبوع، 9,386 نجمة إجمالاً): وجّه وكيلك في برمجة تطبيقات أندرويد. android/skills البيانات من GitHub Trending (أسبوعيًا) وواجهة برمجة تطبيقات GitHub، تم الوصول إليها في 23 أكتوبر 2026. أيّها ستثبّته أولاً؟ جيت هاب المصادر المفتوحةكلود كود الذكاء الاصطناعي الذكاء الاصطناعي [en-US] 5 repos that are blowing up, and one is a gift from Google Five open-source repositories that are exploding on GitHub this week, and none of them are for you: they're for your AI agent. #01 Orca (+9,401 ★ this week, 103,630 total): orchestrate and manage multiple AI agents simultaneously. Control them from your mobile device. stablelyai/orca #02 Claude Plugins (+5,649 ★ this week, 44,079 total): the official plugin directory for Claude Code. Install the ones you need. anthropics/claude-plugins-official #03 Scientific Agent Skills (+3,967 ★ this week, 54,167 total): turn your agent into a scientist. #03 Scientific Agent Skills (+3,967 ★ this week, 54,167 total): turn your agent into a scientist. K-Dense-AI/scientific-agent-skills #04 CLI-Anything (+3,275 ★ this week, 56,514 total): Turn any native agent software into a single-line command. HKUDS/CLI-Anything #05 Android Skills, from the Android team (+1,384 ★ this week, 9,386 total): Guide your agent in programming Android apps. android/skills Figures from GitHub Trending (weekly) and the GitHub API, accessed October 23, 2026. Which one would you install on yours first? #GitHub #OpenSource #ClaudeCode #AI #ArtificialIntelligence [pt-BR] Cinco repos que estão bombando, e um foi presente do Google Cinco repositórios de código aberto que estão bombando no GitHub esta semana, e nenhum deles é para você: são para o seu agente de IA. #01 Orca (+9.401 ★ esta semana, 103.630 no total): orquestre e gerencie vários agentes de IA simultaneamente. Controle-os a partir do seu dispositivo móvel. stablelyai/orca #02 Claude Plugins (+5.649 ★ esta semana, 44.079 no total): o diretório oficial de plugins para o Claude Code. Instale os que você precisa. anthropics/claude-plugins-official #03 Scientific Agent Skills (+3.967 ★ esta semana, 54.167 no total): transforme seu agente em um cientista. #03 Scientific Agent Skills (+3.967 ★ esta semana, 54.167 no total): transforme seu agente em um cientista. K-Dense-AI/scientific-agent-skills #04 CLI-Anything (+3.275 ★ esta semana, 56.514 no total): Transforme qualquer software de agente nativo em um comando de linha única. HKUDS/CLI-Anything #05 Android Skills, da equipe do Android (+1.384 ★ esta semana, 9.386 no total): Guie seu agente na programação de aplicativos Android. android/skills Dados do GitHub Trending (semanal) e da API do GitHub, acessados ​​em 23 de outubro de 2026. Qual você instalaria primeiro? #GitHub #OpenSource #ClaudeCode #AI #ArtificialIntelligence

很多命令行工具不是给 AI agent 用的，agent 想调用它们得绕一圈。CLI-Anything 就是来解决这个的：把各种软件变成 agent 原生能用的工具，适合平时靠 agent 干活、又离不开命令行的人。比如把你常用的 CLI 接进来，agent 就能直接调用它跑任务，不用再手写一堆胶水命令。 HKUDS/CLI-Anything

让 AI 去操作专业软件，别再靠截图和像素点击了。 CLI-Anything 是港大的开源项目，思路是给软件配上命令行接口，让 AI 执行任务更稳。 开源地址 HKUDS/CLI-Anything ① 自然语言驱动：能接上 Blender 这类软件，让编程 Agent 执行操作 ② CLI-Hub 快速安装：一条命令装好社区现成工具，少做重复开发 ③ 兼容多种 Agent：Claude Code、Cursor、Pi、OpenClaw 等工作流都支持 从 3D 场景到游戏 Demo，这路子能少些手动操作，自动化复用也更方便。 社区还在不断扩 CLI 工具。想让 AI 真能操作复杂软件的，可以关注这个项目。

Copy viral videos, change your TV’s OS, free MailChimp and all the top repos Link to Resource: thenextnewthing.ai Presented by Zapier: zapier.com Andrew Warner and Adam break down trending GitHub repositories and open-source AI tools of the week. From AI coding agents and security plugins to local voice cloning and shared memory systems, discover the projects developers are watching. They explore REA, a tool for recreating software features, and debate when inspiration becomes code theft. They also cover Claude's official security plugins, Ruflo's multi-agent coding teams, Android's official AI skills, scientific research skills, and OpenCode's open-source coding environment. Plus, see how CLI-Anything gives AI agents access to desktop apps, Cursor plugins extend coding workflows, and AI Memory helps agents share context across models and devices. The episode also features Mailcheap, an open-source newsletter alternative; CleanYourTV for customizing smart TVs; and Hypeit for recreating viral video formats. In the community showcase, Andrew and Adam highlight viewer-built projects, explore smarter AI model routing, and explain how secure containers help protect your computer and sensitive files. Repo featured: 1. REA — Recreate Software Features: morluto/rea 2. Claude Plugins Official — Security and Coding Skills: anthropics/claude-plugins-official 3. Ruflo — Multi-Agent Coding Teams: ruvnet/ruflo 4. Android Skills — Build Better Android Apps With AI: android/skills 5. Scientific Agent Skills — AI Skills for Research: K-Dense-AI/scientific-agent-skills 6. OpenCode — Open-Source AI Coding Agent: anomalyco/opencode 7. CLI-Anything — Connect AI Agents to Desktop Applications: HKUDS/CLI-Anything 8. Cursor Plugins — Skills, Tools, and Integrations: cursor/plugins 9. AI Memory — Shared Memory Across AI Agents: akitaonrails/ai-memory 10. VoiceStudio — Local AI Voice Cloning: debpalash/VoiceStudio Other Repos Discussed: - Mailcheap — An open-source, agent-friendly newsletter platform: marclou/mailcheap - CleanYourTV — Customize your smart TV and reduce unwanted bloatware: Gathin23/cleanyourtv - Hypeit — Recreate viral video formats with AI: hypit-ai/hypit First Star Repos: - Presenter — Generate and narrate presentations with AI: bisque-cloud/presenter - Delegate Router — Route tasks to the right AI model: pvjbuilds/delegate-router - This Thing Show — AI-powered book content ratings: R8rly/show - Kapathi Skills Extended — A coding agent that asks instead of guessing: anshuxinha/karpathy-skills-extended - Container — Run AI agents inside a Linux sandbox: aerovato/container 00:00 - This Week's Hottest GitHub Repositories 00:18 - Mailcheap: An Open-Source Alternative to Beehiiv 02:26 - CleanYourTV: Remove Smart TV Bloatware 03:41 - Hypeit: Recreate Viral Video Formats 05:29 - REA: Copying Software Features With AI 09:19 - Claude Plugins Official: Scan Code for Security Issues 11:21 - Ruflo: Build a Team of AI Coding Agents 12:54 - Zapier: Automate Workflows and Reduce AI Costs 14:25 - Android Skills: Help AI Build Better Apps 16:48 - Scientific Agent Skills for Researchers 18:12 - OpenCode: An Open-Source AI Coding Agent 20:37 - CLI-Anything: Give AI Agents Access to Desktop Apps 22:34 - The Road to 100,000 Subscribers 23:32 - Cursor Plugins and P-Stack Skills 24:40 - The Ketchup Skill: Catch Up on Your AI Conversations 25:01 - AI Memory: Share Context Across Agents and Devices 26:54 - VoiceStudio: Run Voice Cloning Locally 28:26 - Community Projects From Viewers 28:57 - Delegate Router: Choose the Right AI Model for Each Task 30:36 - AI-Powered Book Content Ratings 31:53 - Kapathi Skills Extended: An Agent That Asks Questions 32:11 - Container: Keep AI Agents in a Safe Sandbox 33:22 - Final Thoughts and Community Feedback 👉 Media/Sponsorship Inquiries: thenextnewthing.ai 👉 Join us: thenextnewthing.ai 🔥 Say hi to Adam: linkedin.com [de-DE] Virale Videos kopieren, das Betriebssystem deines Fernsehers ändern, kostenloses MailChimp und di... Link zur Ressource: thenextnewthing.ai Präsentiert von Zapier: zapier.com Andrew Warner und Adam analysieren die angesagtesten GitHub-Repositories und Open-Source-KI-Tools der Woche. Von KI-Codierungsagenten und Sicherheits-Plugins bis hin zu lokalem Voice-Cloning und Shared-Memory-Systemen – entdecken Sie die Projekte, die Entwickler im Blick haben. Sie erkunden REA, ein Tool zum Nachbilden von Softwarefunktionen, und diskutieren, wann Inspiration zu Code-Diebstahl wird. Außerdem behandeln sie Claudes offizielle Sicherheits-Plugins, Ruflos Multi-Agenten-Codierungsteams, Androids offizielle KI-Skills, wissenschaftliche Forschungs-Skills und OpenCodes Open-Source-Codierungsumgebung. Zusätzlich erfahren Sie, wie CLI-Anything KI-Agenten Zugriff auf Desktop-Anwendungen ermöglicht, Cursor-Plugins Codierungs-Workflows erweitern und AI Memory Agenten hilft, Kontext über Modelle und Geräte hinweg zu teilen. Die Folge stellt außerdem Mailcheap vor, eine Open-Source-Alternative für Newsletter, und CleanYourTV zur Personalisierung von Smart-TVs. und Hypeit für die Nachbildung viraler Videoformate. In der Community-Präsentation stellen Andrew und Adam von Zuschauern erstellte Projekte vor, zeigen intelligentere KI-Modell-Weiterleitung auf und erklären, wie sichere Container Ihren Computer und Ihre sensiblen Dateien schützen. Empfohlene Repositories: 1. REA – Softwarefunktionen nachbilden: morluto/rea 2. Claude Plugins Official – Sicherheits- und Programmierkenntnisse: anthropics/claude-plugins-official 3. Ruflo – Multi-Agenten-Programmierteams: ruvnet/ruflo 4. Android Skills – Bessere Android-Apps mit KI entwickeln: android/skills 5. Scientific Agent Skills – KI-Kenntnisse für die Forschung: K-Dense-AI/scientific-agent-skills 6. OpenCode – Open-Source-KI-Programmieragent: anomalyco/opencode 7. CLI-Anything – KI-Agenten mit Desktop-Anwendungen verbinden: HKUDS/CLI-Anything 8. Cursor Plugins – Fähigkeiten, Tools und Integrationen: cursor/plugins 9. AI Memory – Gemeinsamer Speicher für KI-Agenten: akitaonrails/ai-memory 10. VoiceStudio – Lokales KI-Stimmenklonen: debpalash/VoiceStudio Weitere erwähnte Repositories: - Mailcheap – Eine Open-Source-Newsletter-Plattform für Agenten: marclou/mailcheap - CleanYourTV – Smart-TV personalisieren und unerwünschte Bloatware entfernen: Gathin23/cleanyourtv - Hypeit – Virale Videoformate mit KI nachbilden: hypit-ai/hypit Erstklassige Repositories: - Presenter – Präsentationen mit KI erstellen und vertonen: bisque-cloud/presenter - Delegate Router – Aufgaben an das richtige KI-Modell weiterleiten: pvjbuilds/delegate-router - This Thing Show – KI-gestützte Buchbewertungen: R8rly/show - Kapathi Skills Extended – Ein Programmieragent, der fragt statt zu raten: anshuxinha/karpathy-skills-extended - Container – KI-Agenten in einer Linux-Sandbox ausführen: aerovato/container 00:00 – Die heißesten GitHub-Repositories dieser Woche 00:18 – Mailcheap: Eine Open-Source-Alternative zu Beehiiv 02:26 – CleanYourTV: Smart-TV-Bloatware entfernen 03:41 – Hypeit: Virale Videoformate nachbilden 05:29 – REA: Softwarefunktionen mit KI kopieren 09:19 – Claude Plugins Official: Code auf Sicherheitslücken prüfen 11:21 – Ruflo: Erstellen eines Team von KI-Programmieragenten 12:54 – Zapier: Workflows automatisieren und KI-Kosten senken 14:25 – Android Skills: KI beim Erstellen besserer Apps unterstützen 16:48 – Wissenschaftliche Agenten-Skills für Forscher 18:12 – OpenCode: Ein Open-Source-KI-Programmieragent 20:37 – CLI-Anything: KI-Agenten Zugriff auf Desktop-Anwendungen ermöglichen 22:34 – Der Weg zu 100.000 Abonnenten 23:32 – Cursor-Plugins und P-Stack-Skills 24:40 – Der Ketchup-Skill: KI-Konversationen im Blick behalten 25:01 – KI-Speicher: Kontext zwischen Agenten und Geräten teilen 26:54 – VoiceStudio: Sprachklonen lokal ausführen 28:26 – Community-Projekte von Zuschauern 28:57 – Delegate Router: Das richtige KI-Modell für jede Aufgabe auswählen 30:36 – KI-gestützte Buchinhalte Bewertungen 31:53 – Erweiterte Kapathi-Fähigkeiten: Ein Agent, der Fragen stellt 32:11 – Container: KI-Agenten in einer sicheren Umgebung halten 33:22 – Schlussbetrachtung und Feedback der Community 👉 Medien-/Sponsoringanfragen: thenextnewthing.ai 👉 Werden Sie Teil unseres Teams: thenextnewthing.ai 🔥 Kontaktieren Sie Adam: linkedin.com [es-US] Copia videos virales, cambia el SO de tu TV, MailChimp gratis y todos los mejores repositorios Enlace al recurso: thenextnewthing.ai Presentado por Zapier: zapier.com Andrew Warner y Adam analizan los repositorios de GitHub y las herramientas de IA de código abierto más populares de la semana. Desde agentes de codificación de IA y complementos de seguridad hasta clonación de voz local y sistemas de memoria compartida, descubre los proyectos que los desarrolladores siguen de cerca. Exploran REA, una herramienta para recrear funcionalidades de software, y debaten cuándo la inspiración se convierte en plagio de código. También abordan los complementos de seguridad oficiales de Claude, los equipos de codificación multiagente de Ruflo, las habilidades de IA oficiales de Android, las habilidades de investigación científica y el entorno de codificación de código abierto de OpenCode. Además, descubre cómo CLI-Anything permite a los agentes de IA acceder a aplicaciones de escritorio, cómo los complementos de Cursor amplían los flujos de trabajo de codificación y cómo AI Memory ayuda a los agentes a compartir contexto entre modelos y dispositivos. El episodio también incluye Mailcheap, una alternativa de boletín informativo de código abierto; CleanYourTV para personalizar televisores inteligentes; y Hypeit para recrear formatos de vídeo virales. En la muestra de la comunidad, Andrew y Adam destacan proyectos creados por los espectadores, exploran el enrutamiento inteligente de modelos de IA y explican cómo los contenedores seguros ayudan a proteger tu ordenador y tus archivos confidenciales. Repositorios destacados: 1. REA — Recrea funcionalidades de software: morluto/rea 2. Claude Plugins Official — Seguridad y habilidades de programación: anthropics/claude-plugins-official 3. Ruflo — Equipos de programación multiagente: ruvnet/ruflo 4. Android Skills — Crea mejores aplicaciones Android con IA: android/skills 5. Scientific Agent Skills — Habilidades de IA para la investigación: K-Dense-AI/scientific-agent-skills 6. OpenCode — Agente de programación de IA de código abierto: anomalyco/opencode 7. CLI-Anything — Conecta agentes de IA a aplicaciones de escritorio: HKUDS/CLI-Anything 8. Cursor Plugins — Habilidades, herramientas e integraciones: cursor/plugins 9. AI Memory — Memoria compartida entre agentes de IA: akitaonrails/ai-memory 10. VoiceStudio — Clonación de voz local con IA: debpalash/VoiceStudio Otros repositorios mencionados: - Mailcheap — Plataforma de boletines informativos de código abierto y fácil de usar para agentes: marclou/mailcheap - CleanYourTV — Personaliza tu Smart TV y reduce el software innecesario: Gathin23/cleanyourtv - Hypeit — Recrea formatos de vídeo virales con IA: hypit-ai/hypit Repositorios destacados: - Presenter — Genera y narra presentaciones con IA: bisque-cloud/presenter - Delegate Router — Enruta tareas al modelo de IA adecuado: pvjbuilds/delegate-router - This Thing Show: Calificaciones de contenido de libros con IA: R8rly/show - Kapathi Skills Extended: Un agente de programación que pregunta en lugar de adivinar: anshuxinha/karpathy-skills-extended - Container: Ejecuta agentes de IA dentro de un entorno aislado de Linux: aerovato/container 00:00 - Los repositorios de GitHub más populares de esta semana 00:18 - Mailcheap: Una alternativa de código abierto a Beehiiv 02:26 - CleanYourTV: Elimina el software innecesario de tu Smart TV 03:41 - Hypeit: Recrea formatos de vídeo virales 05:29 - REA: Copia de funciones de software con IA 09:19 - Claude Plugins Official: Analiza el código en busca de problemas de seguridad 11:21 - Ruflo: Compilación Un equipo de agentes de codificación de IA 12:54 - Zapier: Automatiza flujos de trabajo y reduce costes de IA 14:25 - Habilidades de Android: Ayuda a la IA a crear mejores apps 16:48 - Habilidades de agentes científicos para investigadores 18:12 - OpenCode: Un agente de codificación de IA de código abierto 20:37 - CLI-Anything: Proporciona a los agentes de IA acceso a aplicaciones de escritorio 22:34 - Camino a los 100 000 suscriptores 23:32 - Plugins de cursor y habilidades de P-Stack 24:40 - La habilidad Ketchup: Ponte al día con tus conversaciones con IA 25:01 - Memoria de IA: Comparte contexto entre agentes y dispositivos 26:54 - VoiceStudio: Ejecuta la clonación de voz localmente 28:26 - Proyectos de la comunidad de los espectadores 28:57 - Enrutador delegado: Elige el modelo de IA adecuado para cada tarea 30:36 - Contenido de libros con IA Calificaciones 31:53 - Habilidades de Kapathi ampliadas: Un agente que hace preguntas 32:11 - Contenedor: Mantén a los agentes de IA en un entorno seguro 33:22 - Reflexiones finales y comentarios de la comunidad... [fr-FR] Copiez des vidéos virales, changez l’OS de votre TV, un MailChimp gratuit et tous les meilleurs r... Lien vers la ressource : thenextnewthing.ai Présenté par Zapier : zapier.com Andrew Warner et Adam analysent les dépôts GitHub les plus populaires et les outils d'IA open source de la semaine. Des agents de programmation IA aux plugins de sécurité, en passant par le clonage vocal local et les systèmes de mémoire partagée, découvrez les projets suivis de près par les développeurs. Ils explorent REA, un outil permettant de recréer des fonctionnalités logicielles, et débattent de la frontière entre inspiration et plagiat. Ils abordent également les plugins de sécurité officiels de Claude, les équipes de programmation multi-agents de Ruflo, les compétences d'IA officielles d'Android, les compétences de recherche scientifique et l'environnement de programmation open source d'OpenCode. De plus, découvrez comment CLI-Anything donne accès aux applications de bureau aux agents d'IA, comment les plugins Cursor étendent les flux de travail de programmation et comment AI Memory aide les agents à partager le contexte entre les modèles et les appareils. Cet épisode présente également Mailcheap, une alternative open source aux newsletters, et CleanYourTV pour personnaliser les téléviseurs connectés. et Hypeit pour la recréation de formats vidéo viraux. Dans la section dédiée à la communauté, Andrew et Adam mettent en avant des projets réalisés par les utilisateurs, explorent des modèles de routage IA plus intelligents et expliquent comment les conteneurs sécurisés contribuent à protéger votre ordinateur et vos fichiers sensibles. Dépôts mis en avant : 1. REA — Recréer des fonctionnalités logicielles : morluto/rea 2. Claude Plugins Official — Compétences en sécurité et en programmation : anthropics/claude-plugins-official 3. Ruflo — Équipes de programmation multi-agents : ruvnet/ruflo 4. Android Skills — Créer de meilleures applications Android grâce à l’IA : android/skills 5. Scientific Agent Skills — Compétences en IA pour la recherche : K-Dense-AI/scientific-agent-skills 6. OpenCode — Agent de programmation IA open source : anomalyco/opencode 7. CLI-Anything — Connecter des agents IA à des applications de bureau : HKUDS/CLI-Anything 8. Cursor Plugins — Compétences, outils et intégrations cursor/plugins 9. AI Memory — Mémoire partagée entre agents IA : akitaonrails/ai-memory 10. VoiceStudio — Clonage vocal IA local : debpalash/VoiceStudio Autres dépôts mentionnés : - Mailcheap — Plateforme de newsletter open source et compatible avec les agents : marclou/mailcheap - CleanYourTV — Personnalisez votre Smart TV et réduisez les logiciels inutiles : Gathin23/cleanyourtv - Hypeit — Recréez des formats vidéo viraux grâce à l’IA : hypit-ai/hypit Premiers dépôts recommandés : - Presenter — Générez et commentez des présentations avec l’IA : bisque-cloud/presenter - Delegate Router — Acheminez les tâches vers le modèle d’IA approprié : pvjbuilds/delegate-router - This Thing Show — Évaluation du contenu des livres par l'IA : R8rly/show - Kapathi Skills Extended — Un agent de programmation qui pose des questions au lieu de deviner : anshuxinha/karpathy-skills-extended - Container — Exécuter des agents d'IA dans un environnement isolé Linux : aerovato/container 00:00 - Les dépôts GitHub les plus populaires de la semaine 00:18 - Mailcheap : Une alternative open source à Beehiiv 02:26 - CleanYourTV : Supprimer les logiciels inutiles des téléviseurs connectés 03:41 - Hypeit : Recréer des formats vidéo viraux 05:29 - REA : Copier des fonctionnalités logicielles grâce à l'IA 09:19 - Claude Plugins Official : Analyser le code pour détecter les failles de sécurité 11:21 - Ruflo : Constituer une équipe Agents de codage IA 12:54 - Zapier : Automatisez vos flux de travail et réduisez les coûts de l’IA 14:25 - Compétences Android : Aidez l’IA à créer de meilleures applications 16:48 - Compétences d’agents scientifiques pour les chercheurs 18:12 - OpenCode : Un agent de codage IA open source 20:37 - CLI-Anything : Donnez aux agents IA accès aux applications de bureau 22:34 - Objectif : 100 000 abonnés 23:32 - Plugins de curseur et compétences P-Stack 24:40 - La compétence Ketchup : Suivez vos conversations avec l’IA 25:01 - Mémoire IA : Partagez le contexte entre agents et appareils 26:54 - VoiceStudio : Clonage vocal en local 28:26 - Projets de la communauté 28:57 - Delegate Router : Choisissez le modèle d’IA adapté à chaque tâche 30:36 - Contenu de livres enrichi par l’IA Évaluations 31:53 - Kapathi Skills Extended : Un agent qui pose des questions 32:11 - Container : Sécuriser les agents IA dans un environnement isolé 33:... [hi] वायरल वीडियो कॉपी करें, अपने टीवी का OS बदलें, मुफ्त Mailchimp और सभी टॉप रिपोस संसाधन का लिंक: thenextnewthing.ai प्रस्तुतकर्ता: Zapier: zapier.com एंड्रयू वार्नर और एडम इस सप्ताह के ट्रेंडिंग GitHub रिपॉजिटरी और ओपन-सोर्स AI टूल्स का विश्लेषण करते हैं। AI कोडिंग एजेंट और सुरक्षा प्लगइन्स से लेकर लोकल वॉयस क्लोनिंग और शेयर्ड मेमोरी सिस्टम तक, जानिए वे प्रोजेक्ट जिन पर डेवलपर्स की नजर है। वे सॉफ्टवेयर फीचर्स को रीक्रिएट करने वाले टूल REA पर चर्चा करते हैं और इस बात पर विचार-विमर्श करते हैं कि प्रेरणा कब कोड की चोरी बन जाती है। वे क्लाउड के आधिकारिक सुरक्षा प्लगइन्स, रूफ्लो की मल्टी-एजेंट कोडिंग टीमों, एंड्रॉइड के आधिकारिक AI स्किल्स, वैज्ञानिक अनुसंधान स्किल्स और ओपनकोड के ओपन-सोर्स कोडिंग एनवायरनमेंट पर भी बात करते हैं। इसके अलावा, देखिए कैसे CLI-Anything AI एजेंट्स को डेस्कटॉप ऐप्स तक पहुंच प्रदान करता है, कर्सर प्लगइन्स कोडिंग वर्कफ़्लो को बढ़ाते हैं, और AI मेमोरी एजेंट्स को मॉडल्स और डिवाइसेस में कॉन्टेक्स्ट साझा करने में मदद करती है। इस एपिसोड में ओपन-सोर्स न्यूज़लेटर विकल्प Mailcheap; स्मार्ट टीवी को कस्टमाइज़ करने के लिए CleanYourTV; और वायरल वीडियो फॉर्मेट को फिर से बनाने के लिए हाइपिट का धन्यवाद। कम्युनिटी शोकेस में, एंड्रयू और एडम दर्शकों द्वारा निर्मित परियोजनाओं पर प्रकाश डालते हैं, स्मार्ट एआई मॉडल रूटिंग की पड़ताल करते हैं, और बताते हैं कि सुरक्षित कंटेनर आपके कंप्यूटर और संवेदनशील फाइलों की सुरक्षा में कैसे मदद करते हैं। प्रमुख रिपॉजिटरी: 1. REA — सॉफ्टवेयर सुविधाओं को पुनः बनाएं: morluto/rea 2. Claude Plugins Official — सुरक्षा और कोडिंग कौशल: anthropics/claude-plugins-official 3. Ruflo — मल्टी-एजेंट कोडिंग टीमें: ruvnet/ruflo 4. Android Skills — AI के साथ बेहतर Android ऐप्स बनाएं: android/skills 5. Scientific Agent Skills — अनुसंधान के लिए AI कौशल: K-Dense-AI/scientific-agent-skills 6. OpenCode — ओपन-सोर्स AI कोडिंग एजेंट: anomalyco/opencode 7. CLI-Anything — AI एजेंटों को डेस्कटॉप एप्लिकेशन से कनेक्ट करें: HKUDS/CLI-Anything 8. Cursor Plugins — कौशल, उपकरण और एकीकरण: cursor/plugins 9. AI मेमोरी — AI एजेंटों के बीच साझा मेमोरी: akitaonrails/ai-memory 10. VoiceStudio — स्थानीय AI वॉइस क्लोनिंग: debpalash/VoiceStudio चर्चा किए गए अन्य रिपॉजिटरी: - Mailcheap — एक ओपन-सोर्स, एजेंट-अनुकूल न्यूज़लेटर प्लेटफ़ॉर्म: marclou/mailcheap - CleanYourTV — अपने स्मार्ट टीवी को कस्टमाइज़ करें और अनावश्यक ब्लोटवेयर को कम करें: Gathin23/cleanyourtv - Hypeit — AI के साथ वायरल वीडियो फ़ॉर्मेट को रीक्रिएट करें: hypit-ai/hypit फर्स्ट स्टार रिपॉजिटरी: - Presenter — AI के साथ प्रेजेंटेशन जेनरेट और नैरेट करें: bisque-cloud/presenter - Delegate Router — कार्यों को सही AI मॉडल तक पहुंचाएं: pvjbuilds/delegate-router - दिस थिंग शो — AI-आधारित पुस्तक सामग्री रेटिंग: R8rly/show - कपाथी स्किल्स एक्सटेंडेड — एक कोडिंग एजेंट जो अनुमान लगाने के बजाय प्रश्न पूछता है: anshuxinha/karpathy-skills-extended - कंटेनर — लिनक्स सैंडबॉक्स के अंदर AI एजेंट चलाएं: aerovato/container 00:00 - इस सप्ताह के सबसे चर्चित GitHub रिपॉजिटरी 00:18 - मेलचीप: बीहीव का एक ओपन-सोर्स विकल्प 02:26 - क्लीन योर टीवी: स्मार्ट टीवी ब्लोटवेयर हटाएं 03:41 - हाइपिट: वायरल वीडियो फॉर्मेट को रीक्रिएट करें 05:29 - आरईए: AI के साथ सॉफ्टवेयर फीचर्स कॉपी करना 09:19 - क्लाउड प्लगइन्स ऑफिशियल: सुरक्षा के लिए कोड स्कैन करें विषय 11:21 - रुफ्लो: एआई कोडिंग एजेंटों की टीम बनाएं 12:54 - जैपियर: वर्कफ़्लो को स्वचालित करें और एआई लागत कम करें 14:25 - एंड्रॉइड स्किल्स: एआई को बेहतर ऐप्स बनाने में मदद करें 16:48 - शोधकर्ताओं के लिए वैज्ञानिक एजेंट स्किल्स 18:12 - ओपनकोड: एक ओपन-सोर्स एआई कोडिंग एजेंट 20:37 - CLI-Anything: एआई एजेंटों को डेस्कटॉप ऐप्स तक पहुंच प्रदान करें 22:34 - 100,000 सब्सक्राइबर्स तक का सफर 23:32 - कर्सर प्लगइन्स और पी-स्टैक स्किल्स 24:40 - केचप स्किल: अपनी एआई बातचीत पर नज़र रखें 25:01 - एआई मेमोरी: एजेंटों और उपकरणों के बीच संदर्भ साझा करें 26:54 - वॉयसस्टूडियो: स्थानीय रूप से वॉयस क्लोनिंग चलाएं 28:26 - दर्शकों के सामुदायिक प्रोजेक्ट 28:57 - डेलीगेट राउटर: प्रत्येक के लिए सही एआई मॉडल चुनें कार्य 30:36 - एआई-आधारित पुस्तक सामग्री रेटिंग 31:53 - कपाथी स्किल्स एक्सटेंडेड: एक एजेंट जो प्रश्न पूछता है 32:11 - कंटेनर: एआई एजेंटों को सुरक्षित सैंडबॉक्स में रखें 33:22 - अंतिम विचार और सामुदायिक प्रतिक्रिया 👉 मीडिया/प्रायोजन संबंधी पूछताछ: thenextnewthing.ai 👉 हमसे जुड़ें: thenextnewthing.ai 🔥 एडम से संपर्क करें: linkedin.com [id] Salin video viral, ubah OS TV Anda, MailChimp gratis, dan semua repo terpopuler Tautan ke Sumber Daya: thenextnewthing.ai Dipersembahkan oleh Zapier: zapier.com Andrew Warner dan Adam membahas repositori GitHub dan alat AI sumber terbuka yang sedang tren minggu ini. Mulai dari agen pengkodean AI dan plugin keamanan hingga kloning suara lokal dan sistem memori bersama, temukan proyek-proyek yang dipantau oleh para pengembang. Mereka mengeksplorasi REA, alat untuk menciptakan kembali fitur perangkat lunak, dan memperdebatkan kapan inspirasi menjadi pencurian kode. Mereka juga membahas plugin keamanan resmi Claude, tim pengkodean multi-agen Ruflo, keterampilan AI resmi Android, keterampilan penelitian ilmiah, dan lingkungan pengkodean sumber terbuka OpenCode. Selain itu, lihat bagaimana CLI-Anything memberi agen AI akses ke aplikasi desktop, plugin Cursor memperluas alur kerja pengkodean, dan AI Memory membantu agen berbagi konteks di seluruh model dan perangkat. Episode ini juga menampilkan Mailcheap, alternatif buletin sumber terbuka; CleanYourTV untuk menyesuaikan TV pintar; dan Hypeit untuk menciptakan kembali format video viral. Dalam acara komunitas, Andrew dan Adam menyoroti proyek-proyek yang dibuat oleh pemirsa, mengeksplorasi perutean model AI yang lebih cerdas, dan menjelaskan bagaimana kontainer yang aman membantu melindungi komputer dan file sensitif Anda. Repositori unggulan: 1. REA — Recreate Software Features: morluto/rea 2. Claude Plugins Official — Security and Coding Skills: anthropics/claude-plugins-official 3. Ruflo — Multi-Agent Coding Teams: ruvnet/ruflo 4. Android Skills — Build Better Android Apps With AI: android/skills 5. Scientific Agent Skills — AI Skills for Research: K-Dense-AI/scientific-agent-skills 6. OpenCode — Open-Source AI Coding Agent: anomalyco/opencode 7. CLI-Anything — Connect AI Agents to Desktop Applications: HKUDS/CLI-Anything 8. Cursor Plugins — Skills, Tools, and Integrations: cursor/plugins 9. AI Memory — Memori Bersama Antar Agen AI: akitaonrails/ai-memory 10. VoiceStudio — Pengkloningan Suara AI Lokal: debpalash/VoiceStudio Repositori Lain yang Dibahas: - Mailcheap — Platform buletin sumber terbuka yang ramah agen: marclou/mailcheap - CleanYourTV — Sesuaikan TV pintar Anda dan kurangi bloatware yang tidak diinginkan: Gathin23/cleanyourtv - Hypeit — Buat ulang format video viral dengan AI: hypit-ai/hypit Repositori Bintang Pertama: - Presenter — Hasilkan dan narasikan presentasi dengan AI: bisque-cloud/presenter - Delegate Router — Arahkan tugas ke model AI yang tepat: pvjbuilds/delegate-router - This Thing Show — Peringkat konten buku bertenaga AI: R8rly/show - Kapathi Skills Extended — Agen pengkodean yang bertanya alih-alih menebak: anshuxinha/karpathy-skills-extended - Container — Jalankan agen AI di dalam sandbox Linux: aerovato/container 00:00 - Repositori GitHub Terpopuler Minggu Ini 00:18 - Mailcheap: Alternatif Sumber Terbuka untuk Beehiiv 02:26 - CleanYourTV: Hapus Bloatware Smart TV 03:41 - Hypeit: Buat Ulang Format Video Viral 05:29 - REA: Menyalin Fitur Perangkat Lunak dengan AI 09:19 - Claude Plugins Official: Pindai Kode untuk Masalah Keamanan 11:21 - Ruflo: Bangun Tim Pengkodean AI Agen 12:54 - Zapier: Otomatiskan Alur Kerja dan Kurangi Biaya AI 14:25 - Android Skills: Bantu AI Membangun Aplikasi yang Lebih Baik 16:48 - Keterampilan Agen Ilmiah untuk Peneliti 18:12 - OpenCode: Agen Pengkodean AI Sumber Terbuka 20:37 - CLI-Anything: Berikan Akses Agen AI ke Aplikasi Desktop 22:34 - Jalan Menuju 100.000 Pelanggan 23:32 - Plugin Kursor dan Keterampilan P-Stack 24:40 - Keterampilan Saus Tomat: Ikuti Percakapan AI Anda 25:01 - Memori AI: Bagikan Konteks di Seluruh Agen dan Perangkat 26:54 - VoiceStudio: Jalankan Pengkloningan Suara Secara Lokal 28:26 - Proyek Komunitas dari Pemirsa 28:57 - Delegate Router: Pilih Model AI yang Tepat untuk Setiap Tugas 30:36 - Peringkat Konten Buku Bertenaga AI 31:53 - Kemampuan Kapathi yang Diperluas: Agen yang Mengajukan Pertanyaan 32:11 - Kontainer: Menjaga Agen AI dalam Sandbox yang Aman 33:22 - Pemikiran Akhir dan Umpan Balik Komunitas 👉 Pertanyaan Media/Sponsor: thenextnewthing.ai 👉 Bergabunglah dengan kami: thenextnewthing.ai 🔥 Sapa Adam: linkedin.com [it] Copia video virali, cambia il sistema operativo della tua TV, MailChimp gratuito e tutti i miglio... Link alla risorsa: thenextnewthing.ai Presentato da Zapier: zapier.com Andrew Warner e Adam analizzano i repository GitHub di tendenza e gli strumenti di intelligenza artificiale open source della settimana. Dagli agenti di programmazione IA e plugin di sicurezza alla clonazione vocale locale e ai sistemi di memoria condivisa, scoprite i progetti che gli sviluppatori stanno seguendo. Esplorano REA, uno strumento per ricreare funzionalità software, e discutono di quando l'ispirazione si trasforma in furto di codice. Parlano anche dei plugin di sicurezza ufficiali di Claude, dei team di programmazione multi-agente di Ruflo, delle competenze IA ufficiali di Android, delle competenze di ricerca scientifica e dell'ambiente di programmazione open source di OpenCode. Inoltre, scoprite come CLI-Anything consente agli agenti IA di accedere alle applicazioni desktop, come i plugin di Cursor estendono i flussi di lavoro di programmazione e come AI Memory aiuta gli agenti a condividere il contesto tra modelli e dispositivi. L'episodio presenta anche Mailcheap, un'alternativa open source alle newsletter; CleanYourTV per personalizzare le smart TV; e Hypeit per ricreare formati video virali. Nella vetrina della community, Andrew e Adam mettono in evidenza i progetti creati dagli spettatori, esplorano modelli di routing basati sull'intelligenza artificiale più intelligenti e spiegano come i container sicuri aiutano a proteggere il computer e i file sensibili. Repository in evidenza: 1. REA — Ricrea funzionalità software: morluto/rea 2. Claude Plugins Official — Competenze di sicurezza e programmazione: anthropics/claude-plugins-official 3. Ruflo — Team di programmazione multi-agente: ruvnet/ruflo 4. Android Skills — Crea app Android migliori con l'IA: android/skills 5. Scientific Agent Skills — Competenze di IA per la ricerca: K-Dense-AI/scientific-agent-skills 6. OpenCode — Agente di programmazione IA open source: anomalyco/opencode 7. CLI-Anything — Collega agenti IA ad applicazioni desktop: HKUDS/CLI-Anything 8. Cursor Plugins — Competenze, strumenti e Integrazioni: cursor/plugins 9. AI Memory — Memoria condivisa tra agenti AI: akitaonrails/ai-memory 10. VoiceStudio — Clonazione vocale locale tramite AI: debpalash/VoiceStudio Altri repository discussi: - Mailcheap — Una piattaforma di newsletter open source e intuitiva per gli agenti: marclou/mailcheap - CleanYourTV — Personalizza la tua smart TV e riduci il bloatware indesiderato: Gathin23/cleanyourtv - Hypeit — Ricrea formati video virali con l'IA: hypit-ai/hypit Primi repository consigliati: - Presenter — Genera e narra presentazioni con l'IA: bisque-cloud/presenter - Delegate Router — Instrada le attività al modello AI corretto: Italiano: pvjbuilds/delegate-router - This Thing Show — Valutazione del contenuto dei libri basata sull'IA: R8rly/show - Kapathi Skills Extended — Un agente di programmazione che chiede invece di indovinare: anshuxinha/karpathy-skills-extended - Container — Esegui agenti IA all'interno di una sandbox Linux: aerovato/container 00:00 - I repository GitHub più popolari di questa settimana 00:18 - Mailcheap: un'alternativa open source a Beehiiv 02:26 - CleanYourTV: rimuove il bloatware dalle Smart TV 03:41 - Hypeit: ricrea i formati video virali 05:29 - REA: copia le funzionalità del software con l'IA 09:19 - Claude Plugins Official: scansiona il codice per problemi di sicurezza 11:21 - Ruflo: Crea un team di agenti di programmazione IA 12:54 - Zapier: Automatizza i flussi di lavoro e riduci i costi dell'IA 14:25 - Competenze Android: Aiuta l'IA a creare app migliori 16:48 - Competenze di agenti scientifici per i ricercatori 18:12 - OpenCode: Un agente di programmazione IA open source 20:37 - CLI-Anything: Dai agli agenti IA accesso alle app desktop 22:34 - La strada verso i 100.000 iscritti 23:32 - Plugin Cursor e competenze P-Stack 24:40 - La competenza Ketchup: Recupera le tue conversazioni IA 25:01 - Memoria IA: Condividi il contesto tra agenti e dispositivi 26:54 - VoiceStudio: Esegui la clonazione vocale in locale 28:26 - Progetti della community degli spettatori 28:57 - Delegate Router: Scegli il modello IA giusto per ogni attività 30:36 - Valutazione dei contenuti dei libri tramite IA 31:53 - Kapathi Skills Extended: un agente che pone domande 32:11 - Container: mantenere gli agenti IA in un ambiente protetto 33:22 - Considerazioni finali e feedback della community 👉 Richieste di sponsorizzazione/media: thenextnewthing.ai 👉 Unisciti a noi: thenextnewthing.ai 🔥 Saluta Adam: linkedin.com [pt-BR] Copie vídeos virais, mude o sistema da sua TV, MailChimp grátis e todos os melhores repositórios Link para o recurso: thenextnewthing.ai Apresentado por Zapier: zapier.com Andrew Warner e Adam analisam os repositórios do GitHub e as ferramentas de IA de código aberto em alta da semana. De agentes de codificação de IA e plugins de segurança a clonagem de voz local e sistemas de memória compartilhada, descubra os projetos que os desenvolvedores estão acompanhando. Eles exploram o REA, uma ferramenta para recriar recursos de software, e debatem quando a inspiração se torna plágio. Eles também abordam os plugins de segurança oficiais do Claude, as equipes de codificação multiagente do Ruflo, as habilidades oficiais de IA do Android, habilidades de pesquisa científica e o ambiente de codificação de código aberto do OpenCode. Além disso, veja como o CLI-Anything dá aos agentes de IA acesso a aplicativos de desktop, os plugins Cursor estendem os fluxos de trabalho de codificação e o AI Memory ajuda os agentes a compartilhar contexto entre modelos e dispositivos. O episódio também apresenta o Mailcheap, uma alternativa de código aberto para newsletters; o CleanYourTV para personalizar smart TVs; e o Hypeit para recriar formatos de vídeos virais. Na apresentação da comunidade, Andrew e Adam destacam projetos criados por espectadores, exploram roteamento de modelos de IA mais inteligentes e explicam como contêineres seguros ajudam a proteger seu computador e arquivos confidenciais. Repositórios em destaque: 1. REA — Recrie recursos de software: morluto/rea 2. Claude Plugins Official — Segurança e habilidades de programação: anthropics/claude-plugins-official 3. Ruflo — Equipes de programação multiagente: ruvnet/ruflo 4. Android Skills — Crie aplicativos Android melhores com IA: android/skills 5. Scientific Agent Skills — Habilidades de IA para pesquisa: K-Dense-AI/scientific-agent-skills 6. OpenCode — Agente de programação de IA de código aberto: anomalyco/opencode 7. CLI-Anything — Conecte agentes de IA a aplicativos de desktop: HKUDS/CLI-Anything 8. Cursor Plugins — Habilidades, ferramentas e integrações: cursor/plugins 9. AI Memory — Memória compartilhada entre agentes de IA: akitaonrails/ai-memory 10. VoiceStudio — Clonagem local de voz por IA: debpalash/VoiceStudio Outros repositórios mencionados: - Mailcheap — Uma plataforma de newsletter de código aberto e amigável para agentes: marclou/mailcheap - CleanYourTV — Personalize sua smart TV e reduza o bloatware indesejado: Gathin23/cleanyourtv - Hypeit — Recrie formatos de vídeos virais com IA: hypit-ai/hypit Primeiros repositórios em destaque: - Presenter — Gere e narre apresentações com IA: bisque-cloud/presenter - Delegate Router — Direcione tarefas para o modelo de IA correto: pvjbuilds/delegate-router - This Thing Show — Avaliações de conteúdo de livros com IA: R8rly/show - Kapathi Skills Extended — Um agente de codificação que pergunta em vez de adivinhar: anshuxinha/karpathy-skills-extended - Container — Execute agentes de IA dentro de um sandbox Linux: aerovato/container 00:00 - Os repositórios mais populares do GitHub desta semana 00:18 - Mailcheap: Uma alternativa de código aberto ao Beehiiv 02:26 - CleanYourTV: Remova o bloatware da sua Smart TV 03:41 - Hypeit: Recrie formatos de vídeos virais 05:29 - REA: Copiando recursos de software com IA 09:19 - Claude Plugins Official: Analise o código em busca de problemas de segurança 11:21 - Ruflo: Monte uma equipe de codificação com IA Agentes 12:54 - Zapier: Automatize fluxos de trabalho e reduza os custos de IA 14:25 - Habilidades do Android: Ajude a IA a criar aplicativos melhores 16:48 - Habilidades de agentes científicos para pesquisadores 18:12 - OpenCode: Um agente de codificação de IA de código aberto 20:37 - CLI-Anything: Dê acesso a aplicativos de desktop para agentes de IA 22:34 - O caminho para 100.000 inscritos 23:32 - Plugins de cursor e habilidades P-Stack 24:40 - A habilidade Ketchup: Acompanhe suas conversas com IA 25:01 - Memória de IA: Compartilhe contexto entre agentes e dispositivos 26:54 - VoiceStudio: Execute clonagem de voz localmente 28:26 - Projetos da comunidade de espectadores 28:57 - Delegate Router: Escolha o modelo de IA certo para cada tarefa 30:36 - Avaliações de conteúdo de livros com IA 31:53 - Kapathi Habilidades Ampliadas: Um Agente Que Faz Perguntas 32:11 - Contêiner: Mantenha os Agentes de IA em um Ambiente Seguro 33:22 - Considerações Finais e Feedback da Comunidade 👉 Consultas de Mídia/Patrocínio: thenextnewthing.ai 👉 Junte-se a nós: thenextnewthing.ai 🔥 Diga olá para Adam: linkedin.com

Top 5 projetos open source do GitHub | Vol. 8 #shorts Os projetos #5 a #1 do Top 10 open source do GitHub, Vol. 8, 10 segundos para cada um. #5 CLI-Anything: HKUDS/CLI-Anything #4 VisionState: oleost/VisionState #3 Rooms: saragordic/rooms #2 FreeVideo: FlashML-org/FreeVideo #1 Claude Squad: smtg-ai/claude-squad Vídeo completo com os 10 no canal Hallen Tech. Oferecimento: Hallen Tech, hallentech.com #shorts #opensource #github

3 Trending Repos I Use Every Day! Three trending GitHub repos I use every single day. Orca: stablyai/orca Headroom: headroomlabs-ai/headroom CLI-Anything: HKUDS/CLI-Anything AI that just does the thing: www.skool.com/easymachineai #ClaudeCode #AIAgents #GitHub #OpenSource #Shorts [de-DE] 3 angesagte Repositories, die ich täglich nutze! Drei beliebte GitHub-Repos, die ich täglich nutze. Orca: stablyai/orca Headroom: headroomlabs-ai/headroom CLI-Anything: HKUDS/CLI-Anything KI, die einfach funktioniert: www.skool.com/easymachineai #ClaudeCode #KIAgenten #GitHub #OpenSource #Shorts [es-US] ¡3 repositorios en tendencia que uso a diario! Tres repositorios de GitHub que uso a diario y que son tendencia. Orca: stablyai/orca Headroom: headroomlabs-ai/headroom CLI-Anything: HKUDS/CLI-Anything Inteligencia artificial que simplemente hace lo que debe: www.skool.com/easymachineai #ClaudeCode #AIAgents #GitHub #OpenSource #Shorts [fr-FR] 3 dépôts tendances que j'utilise au quotidien ! Trois dépôts GitHub populaires que j'utilise quotidiennement. Orca : stablyai/orca Headroom : headroomlabs-ai/headroom CLI-Anything : HKUDS/CLI-Anything Une IA qui fait tout : www.skool.com/easymachineai #ClaudeCode #AIAgents #GitHub #OpenSource #Shorts [hi] 3 ट्रेंडिंग रिपोज़ जिनका मैं रोज़ इस्तेमाल करता हूँ! मैं हर दिन GitHub पर इन तीन लोकप्रिय रिपॉजिटरी का उपयोग करता हूँ। Orca: stablyai/orca Headroom: headroomlabs-ai/headroom CLI-Anything: HKUDS/CLI-Anything ऐसी AI जो बस काम कर देती है: www.skool.com/easymachineai #ClaudeCode #AIAgents #GitHub #OpenSource #Shorts [id] 3 Repo Trending yang Saya Gunakan Setiap Hari! Tiga repositori GitHub yang sedang tren dan saya gunakan setiap hari. Orca: stablyai/orca Headroom: headroomlabs-ai/headroom CLI-Anything: HKUDS/CLI-Anything AI yang melakukan tugasnya dengan mudah: www.skool.com/easymachineai #ClaudeCode #AIAgents #GitHub #OpenSource #Shorts [it] 3 repo di tendenza che uso ogni giorno! Tre repository GitHub di tendenza che utilizzo quotidianamente. Orca: stablyai/orca Headroom: headroomlabs-ai/headroom CLI-Anything: HKUDS/CLI-Anything IA che fa semplicemente quello che deve fare: www.skool.com/easymachineai #ClaudeCode #AIAgents #GitHub #OpenSource #Shorts [pt-BR] 3 Repositórios em alta que eu uso todos os dias! Três repositórios do GitHub que uso diariamente e que estão em alta. Orca: stablyai/orca Headroom: headroomlabs-ai/headroom CLI-Anything: HKUDS/CLI-Anything IA que simplesmente faz o que precisa ser feito: www.skool.com/easymachineai #ClaudeCode #AgentesAIA #GitHub #OpenSource #Shorts

Agents Now Have Three Ways Into Your App Agents Now Have Three Ways Into Your App In a single week of October 2026, three events collided that reveal an uncomfortable truth about the agentic web: nobody agrees on how agents should talk to your application. > 📖 Read the full version with charts and embedded sources on AgentConn → On October 19, Chrome for Developers published a new video answering questions about WebMCP — the W3C-incubated standard that lets websites expose structured, callable tools to browser agents through navigator.modelContext. Four days earlier, OpenAI upgraded its ChatGPT Chrome extension to a full browser agent that reads, clicks, and types across your open tabs in Work mode — no structured protocol required. And on GitHub Trending, CLI-Anything from HKUDS continues its tear at 55,400 stars and +607 stars per day, wrapping desktop software in agent-native CLIs that bypass the browser entirely. Three approaches. Three philosophies. One question: who owns the interface layer between agents and the web? This matters because the interface layer is where value accrues. Whoever controls how agents discover and invoke your application's capabilities controls the economics of the agentic web — from attribution to billing to security. And right now, three incompatible answers are racing to become the default. The Three Contenders 1. WebMCP: The Structured Protocol Path WebMCP is the closest thing the industry has to a diplomatic solution. Co-developed by engineers from Google and Microsoft under the W3C Web Machine Learning Community Group, it proposes that websites declare their capabilities as typed, callable tools — complete with JSON Schema input definitions, output contracts, and permission gates. The technical surface is clean. Sites can use a Declarative API to annotate existing HTML forms as agent-callable tools, or an Imperative API to register JavaScript functions via navigator.modelContext.registerTool(). Both approaches are gated by the tools Permissions Policy, defaulting to same-origin contexts. The browser mediates everything: discovery, invocation, confirmation for sensitive actions.  View Chrome WebMCP documentation → The appeal is obvious. Instead of agents guessing what a page does by parsing its DOM tree or taking screenshots, the page tells them directly. Google's origin trial in Chrome 149 is now open to developers, and early adopters include Shopify storefronts, Expedia, Instacart, and Redfin. OpenAI has already added WebMCP support to ChatGPT's desktop browser, calling them "site tools."  View original post on X → {% youtube bG5Dwkz65Es %} But WebMCP carries a fundamental limitation that its proponents understate: it requires site owners to opt in. A site must actively register its tools before any agent can call them. That is a feature for security — and a bug for coverage. The millions of sites that will never ship a WebMCP manifest still exist, still contain useful data, and still need to be automated.  View original post on X → {% youtube 51A8SVCbS8Q %} 2. ChatGPT Chrome: The Brute-Force DOM Path While Google polishes a standard, OpenAI shipped the pragmatic alternative. The October 15 update to the ChatGPT Chrome extension turned it into a genuine browser agent — one that operates inside your authenticated sessions, across your open tabs, using the same DOM-parsing and click-simulation techniques that computer-use agents have used for months.  View PiunikaWeb coverage → Work mode can fill forms, send messages, download files, compare content across tabs, and group tabs for organization. The Chrome Web Store listing shows 7 million users. The agent works inside logged-in sessions on Gmail, Salesforce, and every other SaaS product — no special integration required from the site owner. This is the scrape-the-DOM philosophy taken to its logical conclusion: the agent does not ask permission from the site. It asks permission from the user. The trade-off is real. DOM scraping is fragile — a website redesign breaks the agent. It is token-heavy — parsing a full page's accessibility tree can burn thousands of tokens before the agent even decides what to do. And it raises genuine security questions that multiple analysts have flagged: agents operating in authenticated browser sessions can be tricked by deceptive page content that was designed for humans, not for machine consumption. {% youtube QpmRDt_ekuY %} OpenAI's bet is clear: agents should be able to interact with any website, not just the ones that opted into a protocol. That is a power move wrapped in a convenience feature. 3. CLI-Anything: The Browser-Bypass Path The third contender sidesteps the browser debate entirely. CLI-Anything from Hong Kong University's Data Science lab takes a position so radical it loops back to simplicity: if the browser is the bottleneck, skip the browser.  View CLI-Anything on GitHub → The project uses a fully automated 7-phase pipeline to wrap desktop applications — Blender, GIMP, LibreOffice, Audacity, QGIS, OBS Studio, and dozens more — in structured command-line interfaces. These CLIs drive the real application backends, not toy reimplementations. Each one ships with --json output for structured data, a REPL for stateful sessions, undo/redo support, and a SKILL.md that agents auto-discover. At 55,400 stars and +607 per day on GitHub Trending, it is one of the fastest-growing agent tools of 2026. The CLI-Hub registry already supports installation from pip, npm, and brew, with full integrations for Claude Code, Cursor, Codex, and GitHub Copilot CLI. The philosophy is pragmatic to the point of being contrarian: most real-world software is not a web app. Blender does not have a WebMCP manifest. Photoshop does not expose tools to browser agents. But both have internal APIs that a well-structured CLI can surface. CLI-Anything's tagline captures it: "Today's software serves humans. Tomorrow's users will be agents." The Real Question: Who Owns the Interface Layer? These three approaches are not just engineering choices. They are bids for control of the agent-web interface layer — and each one shifts power differently. | Approach | Who Controls Access | Who Benefits Most | What Breaks | |----------|-------------------|-------------------|-------------| | WebMCP | Site owners (opt-in) | SaaS platforms, e-commerce | Coverage — unadopted sites are invisible to agents | | ChatGPT Chrome | Agent platform (OpenAI) | OpenAI, end users | Site owners lose control — agents act without site consent | | CLI-Anything | Open-source community | Developers, agent builders | Web-based workflows — CLIs cannot handle browser sessions | WebMCP gives site owners a structured voice. ChatGPT Chrome gives agent platforms unilateral access. CLI-Anything gives the open-source community a parallel path that makes the browser debate irrelevant for desktop software. The historical pattern here is instructive. The web went through this exact cycle with APIs: 1. Phase 1: Screen scraping (brittle, unauthorized) 2. Phase 2: Structured APIs (RESTful, OAuth-gated) 3. Phase 3: Both coexist indefinitely — APIs for partners, scraping for everyone else We are in Phase 1 of the agentic web. WebMCP is the Phase 2 bid. But if history holds, Phase 3 is the equilibrium: structured protocols for partners, brute-force scraping for everything else, and CLI wrappers for the software the browser cannot reach. > ⚠️ Contrarian Corner: WebMCP looks like the civilized future, but structured protocols historically lose the coverage war. HTML was not designed for programmatic access either — that did not stop web scraping from becoming a multi-billion-dollar industry. Sites that adopt WebMCP hand agents a clean API. Sites that do not still get scraped anyway. The unstructured web always wins on coverage, even when the structured web wins on quality. Security: Three Threat Models Each approach carries distinct security implications that practitioners need to understand. WebMCP's threat model centers on malicious tool definitions. A compromised site could register a tool called "Add to Cart" that actually initiates a wire transfer. The spec addresses this with confirmation prompts for sensitive actions and same-origin policy enforcement, but security practitioners have raised unresolved questions about trust models, rate limiting, and credential management for agent sessions.  View security analysis → ChatGPT Chrome's threat model is the inverse: the agent acts inside authenticated sessions the user already controls. OpenAI's safety documentation requires per-site permission grants and user review before submissions, but the agent can still read everything on every open tab. Commentary correctly advises keeping banking and sensitive tabs closed before activating Work mode. CLI-Anything's threat model is supply-chain risk. A compromised CLI harness that wraps Blender or LibreOffice could execute arbitrary commands with the user's permissions. The project mitigates this with a 7-phase pipeline that includes automated test generation (2,461 tests, 100% pass rate), but the trust boundary is the pip/npm package registry — the same surface that has been exploited repeatedly in other ecosystems. > ℹ️ The security meta-pattern: WebMCP trusts the site. ChatGPT Chrome trusts the user. CLI-Anything trusts the package registry. Each one's weakness is the other's strength. No single approach solves agent security — the practical answer is defense in depth across all three layers. What the Community Is Saying The developer community is split — and productively so. When Google first announced the WebMCP early preview in February 2026, the Hacker News thread drew 360 points and 216 comments — with reactions ranging from "this is the USB-C moment for AI agents" to deep skepticism about adoption.  View Hacker News discussion → Even before the Chrome implementation, the WebMCP Proposal thread gathered 153 points and 81 comments, with practitioners debating whether the standard would fragment or unify the agent-web interface.  View Hacker News discussion → A May 2026 reality check from Studio Meyer observed that "none of the mainstream AI agents call navigator.modelContext tools directly on websites — they still rely on DOM scraping or computer use." Five months later, that assessment has shifted: OpenAI's ChatGPT browser now supports WebMCP site tools, and Chrome 149's origin trial is live. But adoption on the site-owner side remains thin. Apify's analysis — written from the perspective of the leading web scraping platform — argues that WebMCP "fundamentally alters the economics of web data extraction" but concedes that a clean WebMCP tool "does nothing for the millions of sites that will never ship one." That tension — between the elegance of structured protocols and the reality of an unstructured web — is the central fault line. The AI Engineer conference talk by Apify CEO Jan Curn, titled "Why AI Agents Still Won't Pay for Anything," went further: the economic model for agent-web interaction is broken regardless of the protocol layer. Agents consume server resources without generating ad revenue or converting to purchases in trackable ways. WebMCP does not solve that problem — it just makes the consumption more efficient. Meanwhile, CLI-Anything's growth on GitHub Trending — tracked at 55,071 stars on October 19 with 607 new stars that day — suggests a significant developer constituency has decided the browser debate is someone else's problem. They want agent access to Blender, GIMP, and QGIS, and they want it now. {% youtube -AOxpwVeIWw %} What This Means for Builders If you are building agent-facing products in 2026, here is the practical stack: > 💡 The Pragmatic Agent Interface Stack (October 2026): > > 1. Instrument WebMCP today. It is cheap insurance. Add the origin trial flag, register your core workflows as tools with JSON Schema definitions, and you are ahead of 99% of sites. Even if WebMCP does not become the dominant standard, any structured tool declaration is better than forcing agents to scrape your DOM. > > 2. Do not rip out DOM-scraping fallbacks. Your agent harness should try WebMCP first and fall back to accessibility-tree parsing. Most of the web will not have WebMCP tools for years. The hybrid approach is not a compromise — it is the correct architecture for 2026. > > 3. Consider CLI wrappers for desktop integration. If your product includes desktop software components, a CLI-Anything harness gives agents structured access without building a custom MCP server from scratch. The CLI-Hub registry means agents can discover and install your tools automatically. > > 4. Watch the permission model. WebMCP's opt-in model and ChatGPT Chrome's user-consent model represent fundamentally different answers to "who decides what agents can do." The resolution will shape agent commerce, attribution, and liability for the next decade. The deeper pattern is that the agent-web interface is following the same fragmentation path that mobile took in 2008: multiple incompatible approaches racing toward a de facto standard, with the eventual winner determined more by distribution than by technical elegance. WebMCP has the standards-body backing and browser-native integration. ChatGPT Chrome has 7 million users and the OpenAI distribution machine. CLI-Anything has the open-source community and the advantage of not needing the browser at all. The HTTP-vs-Gopher question was settled by adoption, not by committee vote. This one will be too. The builders who instrument all three paths today — structured protocol, DOM fallback, CLI wrapper — will be the ones still standing when the dust settles. Related reading: - Your SaaS Now Has a Second Customer: The AI Agent — our earlier deep-dive on what WebMCP means for SaaS design - Best AI Agents for Browser Automation in 2026 — comprehensive comparison of browser automation approaches - GitHub Trending Is Now a Skills Marketplace — CLI-Anything in the broader context of the agent skills explosion Originally published at AgentConn

CLI-Anything: Turning Desktop Software into Tools Your AI Agent Can Actually Use If you have used an AI coding agent like Claude Code, Codex, or Cursor for more than a week, you have probably noticed something: agents are great in a terminal and pretty bad everywhere else. Ask an agent to refactor a Python module and it does fine. Ask it to cut a video in Shotcut, add a layer in GIMP, or export a diagram from Draw.io, and things fall apart. The usual workaround is GUI automation: take a screenshot, guess where the button is, click, take another screenshot, repeat. It is slow, expensive in tokens, and breaks the moment a dialog moves. CLI-Anything from the Data Intelligence Lab at the University of Hong Kong (HKUDS), takes a different route. Instead of teaching agents to use GUIs, it gives the software a proper command-line interface that agents can call directly. This article covers what it is, how to try it quickly, and whether it is worth your time. The core idea in one paragraph Most "GUI" applications are really a user interface sitting on top of an engine. Blender has bpy. LibreOffice can run headless. Shotcut and Kdenlive render through MLT and melt. Inkscape works on SVG. CLI-Anything analyzes an application's codebase, finds that underlying engine, and generates a Python CLI (built on Click) that exposes the real functionality as commands. Every generated CLI supports --json output for agents, a human-readable mode for you, an interactive REPL, and project state with undo/redo. So instead of an agent clicking through menus, it runs something like: cli-anything-gimp project new --width 1920 --height 1080 -o poster.json cli-anything-gimp --json layer add -n "Background" --type solid --color "#1a1a2e" Structured input, structured output, no screenshots. Two ways to use it The project has two distinct entry points, and it helps to know which one you want before you start. | You want to... | Use | | --- | --- | | Use CLIs that already exist (GIMP, Blender, LibreOffice, OBS, Zotero, n8n, and many more) | CLI-Hub, the package manager | | Generate a new CLI for software that is not covered yet, including your own internal tools | The CLI-Anything plugin for your coding agent | Most developers should start with the first one. Option 1: Install ready-made CLIs with CLI-Hub You need Python 3.10 or newer. pip install cli-anything-hub # See what is available cli-hub list cli-hub search image # Install one and inspect it cli-hub install gimp cli-hub info gimp cli-hub launch gimp One thing that trips people up: these CLIs wrap the real software. If you install the Blender CLI, you still need Blender installed on your machine. The CLI is the interface, not a replacement for the application. Let your agent pick the tool If your agent supports skills (Claude Code, Codex, OpenClaw, and others), you can install a "meta-skill" that teaches it to search CLI-Hub, install what it needs, and read the usage docs on its own: npx skills add HKUDS/CLI-Anything --skill cli-hub-meta-skill -g -y Then just describe the task: Find appropriate CLI software in CLI-Hub and complete the task: convert all .docx files in ./reports to PDF and merge them into one file. Each generated CLI also ships with a SKILL.md file describing its commands, so the agent gets documentation in a format it understands without you writing any prompts. Option 2: Generate a CLI for something new This is the more ambitious part of the project. You point the plugin at a codebase (a local folder or a GitHub URL), and your coding agent runs a seven-phase pipeline: 1. Analyze the source and map GUI actions to backend APIs 2. Design command groups, state model, and output formats 3. Implement the Click CLI with REPL, JSON output, and undo/redo 4. Plan tests in a TEST.md file 5. Write tests, both unit and end-to-end against the real software 6. Document the results 7. Publish a setup.py so the CLI installs onto your PATH In Claude Code, setup looks like this: /plugin marketplace add HKUDS/CLI-Anything /plugin install cli-anything /cli-anything ./gimp You can also pass a repo URL, for example /cli-anything https://github.com/blender/blender. When the first pass is done, the refine command looks for gaps between what the software can do and what the CLI covers, then adds commands and tests for them: /cli-anything:refine ./gimp "batch processing and filters" Then install and use the result like any Python package: cd gimp/agent-harness && pip install -e . cli-anything-gimp --help cli-anything-gimp # no arguments opens the REPL The plugin is available for Claude Code, Cursor, Codex, OpenCode, GitHub Copilot CLI, Pi, Qodercli, OpenClaw, Hermes, and Reasonix. Several of these are marked experimental or community-maintained, so expect the Claude Code path to be the most polished. A note for Windows users: Claude Code runs shell commands through bash, so install Git for Windows or use WSL, otherwise you will hit cygpath: command not found. Where it is genuinely useful A few use cases where this approach makes a lot of sense: - Media and document pipelines. Batch converting documents with LibreOffice, rendering scenes in Blender, cutting and captioning video. These are tasks agents previously could not do reliably at all. - Wrapping messy APIs. You can feed API docs or an SDK to the generator and get one stateful CLI instead of dozens of raw HTTP calls. Fewer tool calls usually means fewer tokens and fewer mistakes. - Internal tools. If your team has an internal app with a decent codebase but no API, this is a fast way to make it scriptable for both agents and humans. - Testing and benchmarks. Once software has a CLI, you can generate agent tasks and evaluators in code rather than through screen recordings. The repo's demos are worth a look. One shows an agent building a full HTTPS handshake diagram in Draw.io purely through commands. Another shows an agent assembling a rover model in FreeCAD with a live preview updating at each step. The honest caveats The project is popular (over 51k stars at the time of writing) and moves fast, but go in with realistic expectations. Generation is not free. The seven-phase pipeline is a long agent run: reading a large codebase, writing an implementation, then writing and running tests. On a big project like Blender, that is a lot of tokens and time. Treat the output as a solid first draft that you review, not a finished product. Coverage depends on what was exposed. A CLI is only as good as the commands it has. When a task needs something the harness does not expose, the agent cannot fall back to "just clicking it" the way a GUI agent could. This is a real trade-off: structured interfaces are more reliable when they cover the task and more brittle when they do not. The refine command helps, but it is not magic. Quality varies across the registry. The core harnesses (GIMP, Blender, LibreOffice, Inkscape, Audacity, and others) have substantial test suites, and the repo reports more than 2,000 passing tests overall. Newer community contributions are thinner. Check the test count and last update before relying on a specific one. You still need the real software. This is a feature, since it means you get real rendering and not a toy reimplementation, but it also means setup involves installing the upstream app and sometimes configuring it (for example, an API key or a local server). Mind what you install. Like any community registry, review what a CLI does before giving an agent permission to run it, especially ones that touch credentials, file systems, or remote services. The maintainers have been fixing issues like path injection and unsafe XML parsing, which is a good sign, but it also tells you the attack surface is real. So, is it worth a try? Yes, with a clear scope. If your agent work touches anything outside the code editor, such as documents, media, diagrams, or a desktop app your team relies on, CLI-Hub is a low-effort win. A pip install, one cli-hub install, and your agent can do things it simply could not do before. That takes about ten minutes to evaluate. The generator is worth trying if you have a specific tool you want agents to control and you are willing to review and refine the output. It is less appealing if you just want to experiment casually, because the token and time cost of a full generation run is real. The bigger idea behind the project is also worth paying attention to: rather than making agents better at pretending to be humans in front of a screen, give software an interface designed for agents in the first place. Whether or not CLI-Anything becomes the standard way to do that, it is a practical, working example of the approach today. A good first experiment: pip install cli-anything-hub cli-hub search office cli-hub install libreoffice Then ask your agent to convert and merge a folder of documents, and compare how that feels against doing it through GUI automation. Links - Repository: HKUDS/CLI-Anything

今日のGitHubトレンド HKUDS/CLI-Anything CLI-Anythingは、あらゆるソフトウェアをAIエージェントが操作可能な状態にすることを目的としたプロジェクトです。 AIエージェントにとって親和性の高いCLI（コマンドラインインターフェース）を共通のインターフェースとして提供し、ソフトウェアとAIエージェントの橋渡しを行います。 コミュニティによるCLIツールの開発と管理を行うCLI-Hubを通じて、多様なソフトウェアをAIエージェントが利用できる環境を構築します。