Github Top Repositories

💡 JCodesMore/ai-website-cloner-template just hit the trending charts — here's why it matters. 🔗 https://github.com/JCodesMore/ai-website-cloner-template 📝 Clone any website with one command using AI coding agents ────────────────────────────── AI Website Cloner Template is a reusable template for reverse-engineering any website into a clean, modern Next.js codebase using AI coding agents. The template allows you to point it at a URL, run the /clone-website command, and your AI agent will inspect the site, extract design tokens and assets, write component specs, and dispatch parallel builders to reconstruct every section. The template is designed to work with a variety of AI coding agents, including Claude Code, Codex CLI, and GitHub Copilot. It features a multi-phase pipeline that includes reconnaissance, foundation, component specs, parallel build, and assembly & QA. To get started, you can create your own repository from the template, install dependencies, start your AI agent, and run the /clone-website skill. The template also includes a AGENTS.md file that provides instructions for using different AI coding agents. The template is built using Next.js 16, shadcn/ui, and Tailwind CSS v4, and includes a range of features such as design token extraction, asset downloading, and component spec writing. Key Takeaway: With the AI Website Cloner Template, you can easily reverse-engineer any website into a modern Next.js codebase using AI coding agents, making it a powerful tool for platform migration, lost source code recovery, and learning. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 apple/container caught my eye on GitHub Trending today. 🔗 https://github.com/apple/container 📝 A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon. ────────────────────────────── The apple/container GitHub repository offers a powerful tool for creating and running Linux containers on Macs with Apple silicon. Written in Swift, it's optimized for performance and compatibility with OCI-compatible container images. You can easily pull and run images from standard container registries, and push your custom images for use in other OCI-compatible applications. To get started, simply download and install the latest signed installer package, then start the system service with a container system start command. The tool is supported on macOS 26 and later, and you can upgrade or downgrade versions using the provided scripts. Some key features include: - Consuming and producing OCI-compatible container images - Support for Apple silicon - Low-level container, image, and process management using the Containerization Swift package The repository provides extensive documentation, including a guided tour, technical overview, and full command reference, making it easy to learn and use the tool. Whether you're a developer or just getting started with containerization, apple/container is a great resource. The project is under active development, with contributions welcome and encouraged. So why wait? Dive in and explore the world of containerization with apple/container - it's the perfect tool to containerize your workflow! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 mauriceboe/TREK caught my eye on GitHub Trending today. 🔗 https://github.com/mauriceboe/TREK 📝 A self-hosted travel/trip planner with real-time collaboration, interactive maps, PWA support, SSO, budgets, packing lists, and more. ────────────────────────────── TREK is a self-hosted, real-time collaborative travel planner with maps, budgets, packing lists, a journal, and AI built in. It offers key features like trip planning, travel management, collaboration, and mobile support. docker run can be used to get started in 30 seconds. The tech stack includes Node.js, NestJS, SQLite, React, Vite, TypeScript, Tailwind, Leaflet, and Docker. The target audience includes travelers and adventure seekers who want to plan and manage their trips collaboratively. TREK is available as a Docker image and can be installed as a PWA. With its real-time sync and multi-user support, TREK is the perfect tool for planning your next trip - Plan your next adventure with TREK today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

⚡ xbtlin/ai-berkshire is making waves. Here's the full picture. 🔗 https://github.com/xbtlin/ai-berkshire 📝 AI 时代的伯克希尔：基于 Claude Code 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built on Claude Code. 4 masters' methodologies + multi-agent adversarial analysis. ────────────────────────────── Introduction to AI Berkshire: AI Berkshire is an investment research framework that leverages Claude Code to systematize and structure the methodologies of four value investing masters: Warren Buffett, Charlie Munger, Simon Shou, and Li Lu. This framework provides professional-level investment research, aiming to redefine the depth and efficiency of investment research using AI. Key Features: - Comprehensive investment research framework - Based on the methodologies of four value investing masters - Utilizes Claude Code for professional-level research - Provides a structured approach to investment research - Offers various skills for different aspects of investment research, including deep company research, earnings review, and portfolio management Technical Highlights: - Utilizes Claude Code for investment research - Employs a structured approach to research, including data collection, analysis, and decision-making - Incorporates multiple skills for different aspects of investment research - Provides a comprehensive framework for investment research, covering various aspects, including company research, earnings analysis, and portfolio management Audience: AI Berkshire is designed for investors, researchers, and financial professionals seeking to leverage AI in their investment research. The framework is suitable for those looking for a comprehensive and structured approach to investment research, utilizing the methodologies of renowned value investing masters. Usage: - Install Claude Code and the AI Berkshire skills - Use the various skills, such as `/investment-research`, `/earnings-review`, and `/portfolio-management`, to conduct investment research - Leverage the framework to gain insights into companies, industries, and portfolios, and make informed investment decisions Takeaway: AI Berkshire offers a unique investment research framework that combines the methodologies of four value investing masters with the power of AI, providing a comprehensive and structured approach to investment research. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 calesthio/OpenMontage landed on trending. Worth a proper look. 🔗 https://github.com/calesthio/OpenMontage 📝 World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio. ────────────────────────────── Meet OpenMontage, the first open-source, agentic video production system. This innovative tool allows you to create stunning videos by simply describing what you want in plain language. The agent handles everything from research and scripting to asset generation, editing, and final composition. With OpenMontage, you can produce high-quality videos without manual editing or video generation. The system uses a combination of AI-powered tools and free/open resources to create engaging videos. You can start from a reference video, and the agent will analyze it to create a production plan. The system supports various pipelines and tools, including Remotion, HyperFrames, and FFmpeg. You can also add API keys to unlock more features and tools. However, even with zero API keys, you can still create impressive videos using free tools like Piper TTS, Archive.org, and Pexels. Key features include: * Agentic video production * AI-powered research and scripting * Asset generation and editing * Support for various pipelines and tools * Free and open resources OpenMontage is perfect for anyone looking to create high-quality videos without extensive video production experience. Whether you're a content creator, marketer, or educator, this tool can help you produce engaging videos quickly and efficiently. In short, OpenMontage is a game-changer for video production, and its potential is immense: turn your words into stunning videos, no experience required. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 google-labs-code/design.md caught my eye on GitHub Trending today. 🔗 https://github.com/google-labs-code/design.md 📝 A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system. ────────────────────────────── The DESIGN.md format is a specification for describing visual identities to coding agents. It combines machine-readable design tokens (YAML front matter) with human-readable design rationale (markdown prose). The tokens provide exact values, while the prose explains why those values exist and how to apply them. The format has several key features, including a version field, name and description fields, and various token types such as Color, Dimension, and Typography. The components section maps a name to a group of sub-token properties. To get started, you can validate a DESIGN.md file against the spec using the

npx @google/design.md lint DESIGN.md

command. You can also compare two versions of a design system to detect token-level and prose regressions using the

npx @google/design.md diff DESIGN.md DESIGN-v2.md

command. The DESIGN.md format is designed for developers, designers, and devops teams who want to create a consistent visual identity across their applications. With DESIGN.md, you can codify your design and ensure that your applications look and feel consistent, no matter where they're deployed. Takeaway: DESIGN.md is the secret to codifying your design and creating a consistent visual identity across your applications - give it a try and supercharge your design workflow! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 NousResearch/hermes-agent landed on trending. Worth a proper look. 🔗 https://github.com/NousResearch/hermes-agent 📝 The agent that grows with you ────────────────────────────── Hermes Agent is a self-improving AI agent built by Nous Research. It has a built-in learning loop, allowing it to create skills from experience, improve them during use, and search its own past conversations. You can run it on various platforms, including a $5 VPS, a GPU cluster, or serverless infrastructure. The agent supports multiple models, such as Nous Portal, OpenRouter, and Hugging Face, and can be controlled via Telegram, Discord, or the command line. Key Features: - Real terminal interface with multiline editing and conversation history - Cross-platform conversation continuity - Closed learning loop with autonomous skill creation and self-improvement - Scheduled automations and built-in cron scheduler - Runs anywhere, including local, Docker, SSH, Singularity, Modal, and Daytona Technical Highlights: - Python 3.11 and Node.js support - uv and ripgrep for package management and searching - ffmpeg for multimedia processing Audience: - Developers and researchers looking for a flexible and self-improving AI agent - Individuals who want to automate tasks and improve their productivity To get started, simply run curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash on Linux/macOS or iex (irm https://hermes-agent.nousresearch.com/install.ps1) on Windows. With Hermes Agent, you can create a personalized AI assistant that learns and adapts to your needs. The takeaway: Hermes Agent is the AI sidekick you never knew you needed, making automation and productivity a whole lot smarter. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 kunchenguid/no-mistakes caught my eye on GitHub Trending today. 🔗 https://github.com/kunchenguid/no-mistakes 📝 git push no-mistakes ────────────────────────────── no-mistakes is a revolutionary tool that helps you create clean pull requests with ease. By putting a local Git proxy in front of your remote repository, it runs an AI-driven validation pipeline that checks your code for errors and inconsistencies before allowing you to push your changes. The pipeline is non-blocking, meaning it won't disrupt your work, and is agent-agnostic, supporting various coding agents. The key features of no-mistakes include: * git push no-mistakes to trigger the validation pipeline * no-mistakes to review and act on findings * /no-mistakes to gate existing committed work or have your coding agent drive the flow headlessly * Automatic fixes for safe issues and escalation of issues that require human review Technical highlights include:

curl -fsSL https://raw.githubusercontent.com/kunchenguid/no-mistakes/main/docs/install.sh | sh

to install, and

no-mistakes init

to initialize the gate. The target audience for no-mistakes is developers who want to ensure their code is clean and error-free before pushing it to the remote repository. With no-mistakes, you can say goodbye to sloppy code and hello to clean pull requests - git push no-mistakes and let the tool do the rest! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 Flowseal/zapret-discord-youtube just hit the trending charts — here's why it matters. 🔗 https://github.com/Flowseal/zapret-discord-youtube 📝 No description. ────────────────────────────── The zapret-discord-youtube GitHub repository offers a solution for bypassing restrictions on Discord, YouTube, and other online services. The repository provides a set of batch files and executables that utilize the WinDivert tool to intercept and filter traffic. To use this solution, you need to download the latest release, extract the archive to a folder without special characters, and run the desired batch file. The repository also includes a service.bat file for installing and managing the service. Some key features of this repository include: - Bypassing restrictions on Discord, YouTube, and other online services - Utilizing the WinDivert tool for traffic interception and filtering - Providing a set of batch files for easy execution - Including a service.bat file for service management Technical highlights include: - Utilization of the WinDivert tool - Support for Secure DNS - Compatibility with various operating systems, including Windows 11 This solution is intended for users who need to bypass restrictions on online services, such as Discord and YouTube. However, users should be aware that antiviruses may flag the WinDivert tool as a potential threat. Usage involves downloading and extracting the archive, running the desired batch file, and potentially installing the service using service.bat. One-liner takeaway: zapret-discord-youtube provides a WinDivert-based solution for bypassing online restrictions, but requires careful configuration and awareness of potential antivirus issues. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 google-labs-code/design.md caught my eye on GitHub Trending today. 🔗 https://github.com/google-labs-code/design.md 📝 A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system. ────────────────────────────── The DESIGN.md format is a specification for describing visual identities to coding agents. It combines machine-readable design tokens (YAML front matter) with human-readable design rationale (markdown prose). This format gives agents a persistent, structured understanding of a design system, allowing them to produce UI components with consistency and accuracy. Key features of DESIGN.md include: * Machine-readable design tokens for exact values * Human-readable design rationale for context and application guidance * Validation and linting to ensure structural correctness and detect errors * Comparison and diffing to detect token-level changes between design system versions * Export to other formats such as Tailwind config, CSS theme, and W3C Design Tokens Format To get started with DESIGN.md, you can validate a file against the spec using the npx @google/design.md lint DESIGN.md command. You can also compare two versions of a design system using npx @google/design.md diff DESIGN.md DESIGN-v2.md. The DESIGN.md format is suitable for designers, developers, and coding agents working on visual design systems. It provides a common language and structure for describing design elements, enabling collaboration and consistency across teams and projects. In summary, DESIGN.md is a powerful tool for creating and managing visual design systems, and its format and CLI provide a robust foundation for design token interoperability. With DESIGN.md, you can "design once, code anywhere" and ensure consistency and accuracy in your UI components. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 stablyai/orca landed on trending. Worth a proper look. 🔗 https://github.com/stablyai/orca 📝 Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop and mobile. ────────────────────────────── The Orca AI orchestrator is designed for 100x builders, allowing you to run multiple agents like Codex, ClaudeCode, and OpenCode in parallel worktrees. With Orca, you can monitor and control your agents from your phone using the mobile companion app, and utilize features like parallel worktrees, terminal splits, and design mode to streamline your workflow. The platform supports a wide range of agents, including Claude Code, Codex, and OpenCode, and offers a variety of tools like Orca CLI and GitHub & Linear integration. Whether you're a developer, researcher, or AI enthusiast, Orca provides a powerful and flexible platform for managing your AI workflows. Take your productivity to the next level with Orca - the ultimate AI orchestrator for builders. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet andreknieriem/headunit-revived: a gem from today's GitHub trending list. 🔗 https://github.com/andreknieriem/headunit-revived 📝 Headunit App for displaying Android Auto ────────────────────────────── The Headunit Revived project is an Android app that transforms your tablet or phone into an Android Auto receiver. It's a revived version of the original headunit project by Michael Reid. The app allows for wired USB connections and wireless connections via a companion app called Wireless Helper. To use the app, simply connect your phone to the tablet running Headunit Revived via USB or wirelessly using the Wireless Helper app. The app supports various connection methods, including USB, Wi-Fi Direct, and Bluetooth. Some key features include: - Customizable UI with settings for pixel density, audio focus, and more - Support for multiple languages, including English, Vietnamese, and Japanese - Wireless connection options, including Wi-Fi Direct and Bluetooth The app is suitable for power users who want to customize their Android Auto experience and for those who need a reliable wireless connection. One-liner takeaway: Turn your Android device into an Android Auto receiver with Headunit Revived, a customizable and feature-rich app that simplifies your in-car entertainment experience. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe