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Github Top Repositories

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 15 212 підписників, посідаючи 13 433 місце в категорії Освіта та 26 115 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 15 212 підписників.

За останніми даними від 04 листопада, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 407, а за останні 24 години на 27, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 0.93%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.62% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 142 переглядів. Протягом першої доби публікація в середньому набирає 95 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 05 листопада, 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.

15 212
Підписники
+2724 години
+807 днів
+40730 днів
Архів дописів
🔥 crynta/terax-ai is trending — and it deserves your attention. 🔗 https://github.com/crynta/terax-ai 📝 Lightweight (7MB) Terminal-first AI-native dev workspace ────────────────────────────── Terax is a lightweight terminal-first AI-native dev workspace built with Tauri 2, Rust, and React 19. It features a native PTY backend, WebGL renderer, and an agentic AI side-panel that runs against your own keys or fully local models. The workspace includes a code editor, file explorer, source control with a git graph, and a web preview pane. Key features include: - xterm.js with WebGL renderer and multi-tab support - GPU-accelerated block-based terminal with editor-like command input - Inline AI autocomplete with local model support - AI edit diffs and accept or reject hunk by hunk - Custom themes and customization options To get started, you can install Terax from the Releases page. Configure your AI settings by opening Settings -> AI, picking a provider, and pasting your API key. Terax is perfect for developers who want a fast, lightweight, and feature-rich development environment. The takeaway: Terax is the ultimate terminal-first dev workspace that combines the power of AI with a lightning-fast interface. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 alirezarezvani/claude-skills caught my eye on GitHub Trending today. 🔗 https://github.com/alirezarezvani/claude-skills 📝 337 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 330+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills. ────────────────────────────── The alirezarezvani/claude-skills GitHub repository is a treasure trove of 354 production-ready Claude Code skills and plugins designed to enhance the capabilities of AI coding tools. This comprehensive library supports 13 AI coding platforms, including Claude Code, OpenAI Codex, Gemini CLI, and more. The repository is divided into 18 domains, covering a wide range of topics such as engineering, marketing, productivity, research, and finance. To get started, users can clone the repository and run setup scripts for their preferred platform. For example, to install on Gemini CLI, run ./scripts/gemini-install.sh. The repository also includes a convert.sh script to convert skills to other AI coding tools. The skills are designed to be modular and reusable, with each skill including a SKILL.md file with structured instructions, Python tools for execution, and reference documents for additional context. The repository is MIT-licensed and has gained significant traction with over 5,200 GitHub stars. Whether you're a developer, researcher, or business professional, the alirezarezvani/claude-skills repository has something to offer. So why wait? Dive in and start exploring the vast array of skills and plugins available. Supercharge your productivity with the power of AI coding tools and the alirezarezvani/claude-skills repository — Unlock the full potential of AI-assisted development today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet CoplayDev/unity-mcp: a gem from today's GitHub trending list. 🔗 https://github.com/CoplayDev/unity-mcp 📝 Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity. ────────────────────────────── MCP for Unity is a game-changer for Unity developers, enabling them to control the Unity Editor using natural language from any MCP client. The Model Context Protocol allows large language models (LLMs) like Claude, Codex, and VS Code to manage assets, control scenes, edit scripts, run tests, and automate workflows. To get started, simply install the package from the Unity Package Manager, configure the detected clients, and prompt the LLM to perform tasks. With 47 focused MCP tool entrypoints, you can create scenes, edit C# scripts, and more. The project is free and open-source under the MIT license, with a thriving community on Discord, GitHub Issues, and Discussions. Whether you're a seasoned developer or just starting out, MCP for Unity is a powerful tool to streamline your workflow. One-liner takeaway: MCP for Unity unlocks the full potential of LLMs in game development, making it a must-have tool for any Unity developer looking to boost productivity and creativity! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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💡 mattpocock/skills just hit the trending charts — here's why it matters. 🔗 https://github.com/mattpocock/skills 📝 Skills for Real Engineers. Straight from my .claude directory. ────────────────────────────── The mattpocock/skills GitHub repository is a collection of skills designed to help real engineers work effectively with coding agents. The skills are small, easy to adapt, and composable, allowing users to pick and choose the ones that best fit their needs. To get started, users can run the skills.sh installer and follow the quickstart guide. The skills are divided into two categories: engineering and productivity. The engineering skills include tools for tasks such as grilling, triage, and code review, while the productivity skills include tools for tasks such as handoffs and teaching. Some key features of the skills include the ability to grill-me and grill-with-docs, which help users align with the agent and build a shared language. The skills also include tools for debugging, such as diagnosing-bugs, and for improving codebase architecture, such as improve-codebase-architecture. The repository is designed for real engineers who want to work effectively with coding agents, and the skills are based on decades of engineering experience. In short, the mattpocock/skills repository is a powerful tool for anyone looking to improve their workflow and work more effectively with coding agents - and with these skills, you'll be coding like a pro in no time! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 chthollyphile/folia-major just hit the trending charts — here's why it matters. 🔗 https://github.com/chthollyphile/folia-major 📝 专注于绚丽的歌词动画效果的本地音乐/navidrome/第三方网易云播放器 ────────────────────────────── Folia is an immersive online music player that offers a unique listening experience with its full-screen lyrics display and AI-generated theme colors. The project supports various music sources, including NetEase Cloud Music, Navidrome, and local music libraries. Key features include intelligent lyrics matching, LRC file recognition, and multiple full-screen lyrics animations. To get started, users can choose from desktop or web versions, with options for one-click deployment to Vercel. The project is built using Node.js and offers a responsive layout that adapts to different window sizes. Folia is designed for music enthusiasts who want to elevate their listening experience. Whether you're a developer looking to contribute or a music lover seeking a new way to enjoy your favorite songs, Folia has something to offer. With its easy-to-use interface and customizable themes, Folia is the perfect choice for anyone looking to take their music experience to the next level. Get ready to immerse yourself in the world of music with Folia - where lyrics come alive! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into immich-app/immich — fresh off the trending list. 🔗 https://github.com/immich-app/immich 📝 High performance self-hosted photo and video management solution. ────────────────────────────── Introducing Immich, a high-performance, self-hosted photo and video management solution. Key features include uploading and viewing videos and photos, auto backup, selective album backup, and multi-user support. The app is available for both mobile and web platforms, with features like scrubbable scrollbar, metadata view, and search by metadata. Technical highlights include OAuth support, API keys, and virtual scroll. The app is designed for individuals and families who want to manage their photos and videos in a secure and private way. To get started, check out the official website for documentation and installation guides. Immich is built with contributors from all over the world, and you can join the community to contribute to the project. Take control of your photos and videos - host them yourself with Immich, because your memories are worth it! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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📌 Spotted on GitHub Trending: agentskills/agentskills — let's break it down. 🔗 https://github.com/agentskills/agentskills 📝 Specification and documentation for Agent Skills ────────────────────────────── The agentskills/agentskills repository provides a standardized way to extend AI agent capabilities with specialized knowledge and workflows. At its core, an Agent Skill is a folder containing a SKILL.md file with metadata and instructions that tell an agent how to perform a specific task. Key features of Agent Skills include: - Domain expertise: Capture specialized knowledge as reusable instructions and resources. - Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures. - Cross-product reuse: Build a skill once and use it across any skills-compatible agent. To use Agent Skills, agents load them through progressive disclosure in three stages: Discovery, Activation, and Execution. This approach allows agents to keep many skills on hand with only a small context footprint. The repository is suitable for developers and users of AI tools and agentic clients, with resources available for getting started, including documentation, specification, example skills, and a Discord community. Technical highlights of the repository include its open development, open standard, and permissive licensing under Apache 2.0 and CC-BY-4.0. Here's an example of what a skill directory might look like:
my-skill/
├── SKILL.md          # Required: metadata + instructions
├── scripts/          # Optional: executable code
├── references/       # Optional: documentation
├── assets/           # Optional: templates, resources
└── ...               # Any additional files or directories
One-liner takeaway: With Agent Skills, you can empower your AI agents with specialized knowledge and workflows, making them more capable and reliable in real-world applications. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 dotnet/skills is trending — and it deserves your attention. 🔗 https://github.com/dotnet/skills 📝 Repository for skills to assist AI coding agents with .NET and C# ────────────────────────────── The dotnet/skills GitHub repository is a treasure trove of curated skills and custom agents for coding agents, specifically designed for the .NET ecosystem. At its core, this repository provides a standardized framework for developers to leverage a wide range of .NET skills, from C# language server integration to Entity Framework and performance investigations. Key features include a range of plugins such as dotnet, dotnet-advanced, and dotnet-data, each catering to specific .NET development needs. To get started, users can install these plugins via the Copilot CLI or VS Code, and even explore them through the Cursor plugin marketplace or Codex CLI. From a technical standpoint, the repository supports the agentskills.io open standard, ensuring compatibility with OpenAI Codex and other platforms. The code is well-organized, with each plugin following a standardized structure, making it easier for developers to contribute and add new plugins. The primary audience for this repository includes .NET developers, architects, and anyone interested in leveraging AI and ML capabilities within their .NET projects. Whether you're looking to improve code quality, optimize performance, or explore new .NET features, the dotnet/skills repository has something for everyone. In a nutshell, the dotnet/skills repository is all about amplifying developer productivity with AI-driven .NET skills - supercharge your coding experience today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 ogulcancelik/herdr is trending — and it deserves your attention. 🔗 https://github.com/ogulcancelik/herdr 📝 agent multiplexer that lives in your terminal. ────────────────────────────── Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal window, giving you a clear overview of which agents are blocked, working, or done. With herdr, each agent gets its own real terminal, not an app's imitation, so even full-screen TUIs render correctly. You can click, drag, and split panes into workspaces and tabs, and watch each agent's status update in real-time. Key Features: - A real terminal per agent - Agent state at a glance - Workspaces, tabs, and panes - Nothing dies on detach, so you can close your laptop and reattach from another terminal or your phone over SSH - Runs anywhere, with a single ~10MB Rust binary Technical Highlights: - Built with Rust for performance and reliability - Works on Linux, macOS, and Windows (beta) - No dependencies or GUI required - Scriptable with a local socket API and CLI Audience: - Developers who work with multiple coding agents - Teams that need to collaborate on coding projects - Anyone looking for a lightweight, flexible, and powerful terminal-based tool To get started, simply run curl -fsSL https://herdr.dev/install.sh | sh to install, then type herdr to launch. With herdr, you can streamline your workflow and take your productivity to the next level: one terminal to rule them all. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 rommapp/romm just hit the trending charts — here's why it matters. 🔗 https://github.com/rommapp/romm 📝 A beautiful, powerful, self-hosted rom manager and player. ────────────────────────────── Romm is a self-hosted ROM manager and player that lets you scan, enrich, browse, and play your game collection with a clean interface. It supports multiple platforms, naming schemes, and custom tags. Key features include metadata fetching from IGDB, Screenscraper, and MobyGames, custom artwork from SteamGridDB, and achievements from Retroachievements. You can play games directly from the browser using EmulatorJS and RuffleRS, and share your library with friends. The rommapp/romm GitHub repository provides a Quick Start Guide for easy installation and troubleshooting steps. The project is open for contributions, and there's a community-driven Discord channel for discussions and support. For technical highlights, Romm uses a web-based interface and supports various platforms, including desktop and mobile devices. Audience for Romm includes gamers, collectors, and emulator enthusiasts who want to manage and play their game collections easily. With its extensive features and community support, Romm is a must-have for anyone who plays on emulators. Takeaway: Romm is the ultimate self-hosted ROM manager and player that simplifies your gaming experience! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into harvard-edge/cs249r_book — fresh off the trending list. 🔗 https://github.com/harvard-edge/cs249r_book 📝 Machine Learning Systems ────────────────────────────── The harvard-edge/cs249r_book GitHub repository is a comprehensive resource for learning machine learning systems engineering. Its purpose is to bridge the gap between building AI systems and engineering them to be efficient, reliable, safe, and robust. The key features include a two-volume textbook, TinyTorch for building ML frameworks from scratch, hardware kits for deploying ML to devices, and MLSys·im for simulating infrastructure. To use this resource, students can start by reading the textbook and trying out labs, then move on to building TinyTorch and using MLSys·im. Instructors can use the provided course map, slides, and assessment guides. The technical highlights include a curriculum map that connects all components and a growing community of contributors. The intended audience is students, self-learners, and instructors looking to master ML systems. By following the learning loop of Read → Explore → Build → Model → Deploy → Practice → Teach, learners will gain a deep understanding of machine learning and systems engineering. Ultimately, this repository teaches you to think at the intersection of machine learning and systems engineering, making you a proficient AI engineer - learn to build intelligent systems that work in the real world, not just in isolation. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into asgeirtj/system_prompts_leaks — fresh off the trending list. 🔗 https://github.com/asgeirtj/system_prompts_leaks 📝 Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly. ────────────────────────────── The asgeirtj/system_prompts_leaks GitHub repo is a treasure trove of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. Its purpose is to document these prompts, making them accessible to everyone. The repo features a wide range of key features, including system prompts for different models and variants, such as Claude Fable 5, GPT-5.5, and Gemini 3.5 Flash. To use the repo, simply navigate to the desired model or variant and click on the provided link to view its system prompt. The repo is constantly updated with new prompts, so be sure to check back regularly for the latest additions. From a technical standpoint, the repo is well-organized, with prompts categorized by model and variant, making it easy to find what you're looking for. This repo is aimed at developers, researchers, and AI enthusiasts who want to understand how AI chatbots work and how they can be used in various applications. Whether you're looking to build your own AI chatbot or simply want to learn more about the technology, this repo is an invaluable resource. In a nutshell, the asgeirtj/system_prompts_leaks repo is a must-visit destination for anyone interested in AI chatbots and their system prompts. So, dive in and start exploring – you never know what you might discover! Unleash the power of AI chatbots with system prompts at your fingertips! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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📌 Spotted on GitHub Trending: Zackriya-Solutions/meetily — let's break it down. 🔗 https://github.com/Zackriya-Solutions/meetily 📝 Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai -https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows. ────────────────────────────── Meetily is a privacy-first AI meeting assistant that runs entirely on your local machine, capturing and transcribing meetings in real-time without sending any data to the cloud. Its key features include local transcription, real-time transcription, and AI-powered summaries. Meetily supports multiple platforms, including macOS, Windows, and Linux, and is open-source and free to use. To get started, you can download and install Meetily from the releases page, or build from source using the provided guides. Meetily also offers a PRO version with enhanced accuracy and advanced features for serious users and teams. The system architecture is built with Tauri and uses a Rust-based backend and a Next.js frontend. Meetily is perfect for professionals and enterprises that need to maintain complete control over their sensitive information. In short, Meetily gives you complete data sovereignty and advanced meeting intelligence without compromising on privacy, compliance, or control - and that's a meeting assistant that truly meets your needs. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔥 ChromeDevTools/chrome-devtools-mcp is trending — and it deserves your attention. 🔗 https://github.com/ChromeDevTools/chrome-devtools-mcp 📝 Chrome DevTools for coding agents ────────────────────────────── The Chrome DevTools for agents repo, chrome-devtools-mcp, enables coding agents to control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, providing access to Chrome DevTools for reliable automation, debugging, and performance analysis. Key features include: - performance insights: record traces and extract actionable performance insights - advanced browser debugging: analyze network requests, take screenshots, and check browser console messages - reliable automation: automate actions in Chrome using puppeteer To get started, add the MCP server config to your agent, then install using the CLI or as a plugin, depending on your agent. The repo supports various agents, including Antigravity, Claude, and Copilot. The chrome-devtools-mcp server requires Node.js, Chrome, and npm. It officially supports Google Chrome and Chrome for Testing, with other Chromium-based browsers possibly working but not guaranteed. Audience: developers using coding agents, such as Antigravity, Claude, or Copilot, who want to leverage Chrome DevTools for automation, debugging, and performance analysis. One-liner takeaway: Supercharge your coding agent with chrome-devtools-mcp for unparalleled Chrome browser control and insights! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 usestrix/strix landed on trending. Worth a proper look. 🔗 https://github.com/usestrix/strix 📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities. ────────────────────────────── The Strix GitHub repository offers an open-source AI pentesting tool that utilizes autonomous AI hackers to find and fix vulnerabilities in applications. Key features include a full pentesting toolkit, multi-agent orchestration, real exploit validation, and a developer-first CLI. Usage involves installing Strix, configuring an LLM API key, and running a security assessment using the strix command. Technical highlights of Strix include its ability to integrate with CI/CD pipelines, perform rapid penetration testing, and automate bug bounty research. The tool is designed for developers and security teams who need fast and accurate security testing without the overhead of manual pentesting or the false positives of static analysis tools. To get started, simply install Strix, configure your AI provider, and run your first security assessment using the
strix --target ./app-directory
command. With Strix, you can automate security testing and focus on developing secure applications. Takeaway: Strix is the ultimate game-changer for autonomous AI pentesting, making security testing faster, more accurate, and more efficient than ever before! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe