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Github Top Repositories

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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

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📈 Аналітичний огляд Telegram-каналу Github Top Repositories

Канал Github Top Repositories (@githubre) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 13 411 підписників, посідаючи 15 141 місце в категорії Освіта та 31 438 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 13 411 підписників.

За останніми даними від 23 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 411, а за останні 24 години на 17, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 1.04%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.65% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 139 переглядів. Протягом першої доби публікація в середньому набирає 87 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 1.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як repository, fork, programming, statistic, description.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

Завдяки високій частоті оновлень (останні дані отримано 24 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

13 411
Підписники
+1724 години
+567 днів
+41130 день

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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

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🌟 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
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💡 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
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🎯 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
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🚀 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
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🔍 Deep-diving into JCodesMore/ai-website-cloner-template — fresh off the trending list. 🔗 https://github.com/JCodesMore/ai-website-cloner-template 📝 Clone any website with one command using AI coding agents ────────────────────────────── Ai Website Cloner Template is an innovative, open-source project that enables you to reverse-engineer any website into a clean, modern Next.js codebase using AI coding agents. This template is designed to work with a variety of AI agents, with Claude Code being the recommended choice for the best results. To get started, simply create a copy of the template repository, install the dependencies, start your AI agent, and run the /clone-website skill with the target URL. The template will then inspect the site, extract design tokens and assets, write component specs, and dispatch parallel builders to reconstruct every section. The project features a multi-phase pipeline that includes reconnaissance, foundation, component specs, parallel build, and assembly & QA. It supports various AI coding agents, including Claude Code, Codex CLI, and GitHub Copilot, among others. The template is ideal for platform migration, lost source code, and learning purposes. However, it is not intended for phishing or impersonation, passing off someone's design as your own, or violating terms of service. In terms of technical highlights, the project uses Next.js 16, React 19, and TypeScript strict, along with shadcn/ui and Tailwind CSS v4 for styling. Overall, the Ai Website Cloner Template is a powerful tool that can help you create a modern, clean codebase for any website, and its potential impact on the web development community is significant. You can clone any website with just one command: /clone-website - the future of web development just got a whole lot easier. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe
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⚡ interviewstreet/hiring-agent is making waves. Here's the full picture. 🔗 https://github.com/interviewstreet/hiring-agent 📝 AI agent to evaluate and score resumes. ────────────────────────────── The Hiring Agent is a Resume-to-Score pipeline that extracts structured data from PDFs, enriches it with GitHub signals, and outputs a fair, explainable evaluation. It's designed to be used by recruiters, hiring managers, or anyone looking to streamline their candidate evaluation process. The pipeline works by first converting a resume PDF to Markdown-like text using pymupdf_rag.py and pdf.py. It then uses a local or hosted Large Language Model (LLM) to extract sectioned JSON data. The data is further enriched with GitHub profile and repository signals using github.py. The evaluation process involves running a strict-scored evaluation with fairness constraints using evaluator.py. The final output includes category scores, evidence, bonus points, and deductions. To use the Hiring Agent, you'll need to install the required dependencies using pip install -r requirements.txt and set up your environment variables. You can choose to use either the Ollama or Gemini LLM provider. One of the key technical highlights of the Hiring Agent is its use of Pydantic schemas and LLM provider interfaces in models.py. The pipeline also includes a set of Jinja templates for extraction and scoring, which can be found in the prompts/ directory. Overall, the Hiring Agent is a powerful tool for anyone looking to automate their candidate evaluation process. With its flexible architecture and easy-to-use interface, it's an ideal solution for recruiters and hiring managers alike. So, what are you waiting for? Automate your hiring process with the Hiring Agent and start finding the best candidates for your team! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe
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