Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Показати більше📈 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 14 210 підписників, посідаючи 13 963 місце в категорії Освіта та 28 251 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 14 210 підписників.
За останніми даними від 31 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 287, а за останні 24 години на 19, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0.99%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.65% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 141 переглядів. Протягом першої доби публікація в середньому набирає 93 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 01 вересня, 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.
14 210
Підписники
+1924 години
+877 днів
+28730 день
Архів дописів
14 225
🎯 davila7/claude-code-templates landed on trending. Worth a proper look.
🔗 https://github.com/davila7/claude-code-templates
📝 CLI tool for configuring and monitoring Claude Code
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Claude Code Templates is a collection of ready-to-use configurations for Anthropic's Claude Code, designed to enhance your development workflow. The repository offers a wide range of
AI agents, custom commands, settings, hooks, and external integrations (MCPs) to streamline your development process.
The key features of Claude Code Templates include:
- 100+ agents, commands, settings, hooks, and MCPs to choose from
- Interactive web interface for browsing and installing components
- Quick installation using the command line
- Comprehensive documentation and guides
To get started, you can install the templates using the command line:
npx claude-code-templates@latest
14 225
🔥 TencentCloud/TencentDB-Agent-Memory is trending — and it deserves your attention.
🔗 https://github.com/TencentCloud/TencentDB-Agent-Memory
📝 TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
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The TencentCloud/TencentDB-Agent-Memory GitHub repository introduces a novel approach to artificial intelligence memory, empowering agents to learn and remember workflows, retain task context, and reuse past experiences. This layered memory system combines
symbolic short-term memory and layered long-term memory to improve task success rates and reduce token usage.
The repository highlights the key features of this system, including memory layering and symbolic memory. Memory layering allows for hierarchical storage and recall of information, while symbolic memory uses high-density Mermaid syntax to encode task state transitions.
To get started with the TencentDB Agent Memory, users can install the plugin for OpenClaw or Hermes agents. The plugin can be enabled with zero configuration, and users can optionally enable short-term compression for improved performance.
The target audience for this repository includes developers and researchers working with artificial intelligence and natural language processing. By leveraging the TencentDB Agent Memory, these individuals can create more efficient and effective AI systems that learn and adapt over time.
In a nutshell, TencentDB Agent Memory revolutionizes AI memory by letting agents remember what should be remembered, so people can focus on what truly matters – and that's the future of human-AI collaboration!
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🧠 Channel: https://t.me/GithubRe
14 225
💡 chriskohlhoff/asio just hit the trending charts — here's why it matters.
🔗 https://github.com/chriskohlhoff/asio
📝 Asio C++ Library
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The asio library is a cross-platform C++ framework for network and low-level I/O programming, enabling developers to write single-threaded, concurrent code using coroutines. It provides a high-level interface for TCP and UDP sockets, as well as support for SSL/TLS encryption and other features. To get started, visit the official website at
https://think-async.com/ or check out the tutorial in doc/index.html. With asio, you can write efficient and scalable networked applications. Take the leap and "build async, think async"!
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🧠 Channel: https://t.me/GithubRe14 225
🎯 catchorg/Catch2 landed on trending. Worth a proper look.
🔗 https://github.com/catchorg/Catch2
📝 A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
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Catch2 is a unit testing framework for C++ that also offers micro-benchmarking features and simple BDD macros. Its main advantage is that it's simple and natural to use, with test names that don't have to be valid identifiers and assertions that look like normal C++ boolean expressions.
To get started, you can use the framework by including the
Catch2 library and writing test cases with the TEST_CASE macro. For example:
TEST_CASE( "Factorials are computed", "[factorial]" ) {
REQUIRE( factorial( 1) == 1 );
REQUIRE( factorial( 2) == 2 );
REQUIRE( factorial( 3) == 6 );
REQUIRE( factorial(10) == 3'628'800 );
}14 225
🚀 Meet microsoft/TypeScript: a gem from today's GitHub trending list.
🔗 https://github.com/microsoft/TypeScript
📝 TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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The TypeScript project is all about taking JavaScript to the next level by adding optional types that make it perfect for large-scale applications. With compile-time checks, you can catch errors early and write more maintainable code. To get started, you can install the latest stable version using
npm install -D typescript or try out the latest features with npm install -D typescript@next.
The community is a big part of TypeScript, with many ways to contribute, from submitting bugs to helping others on StackOverflow or the TypeScript Community Discord. There's also a community page where you can find others who are using TypeScript.
Some key technical highlights include:
// Compile-time type checking
let name: string = 'John';
14 225
📌 Spotted on GitHub Trending: obra/superpowers — let's break it down.
🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a comprehensive software development methodology for coding agents, built on a set of composable skills and initial instructions. It enables agents to work autonomously, emphasizing test-driven development, systematic debugging, and collaboration.
Key features include:
-
brainstorming: Socratic design refinement
- test-driven-development: RED-GREEN-REFACTOR cycle
- subagent-driven-development: Fast iteration with two-stage review
Usage varies by coding agent, with installation available for Claude Code, Antigravity, Codex App, and more.
Technical highlights include a Skills Library with testing, debugging, and collaboration skills, as well as a writing-skills feature for creating new skills.
This tool is ideal for developers and teams seeking to streamline their development process and improve code quality.
Superpowers is built by Jesse Vincent and the Prime Radiant team, with a community-driven approach, including a Discord channel and GitHub Issues for support.
In a nutshell: Superpowers supercharges your coding agents with a robust set of skills to build better software, faster.
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🧠 Channel: https://t.me/GithubRe14 225
🔥 mattpocock/skills is trending — and it deserves your attention.
🔗 https://github.com/mattpocock/skills
📝 Skills for Real Engineers. Straight from my .claude directory.
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The mattpocock/skills GitHub repository is a collection of skills designed to help real engineers work effectively with coding agents. These skills are small, easy to adapt, and composable, allowing them to work with any model. The repository includes a range of skills, such as
/grill-me and /grill-with-docs, which help engineers align with the agent and think deeply about the changes they're making.
To get started, users can run the skills.sh installer and then pick the skills they want to install. The repository includes a range of technical highlights, such as a shared language and feedback loops, which help to improve the coding process. The skills are designed to be user-invoked or model-invoked, allowing engineers to orchestrate or invoke them as needed.
The repository is suitable for a range of audiences, including engineers, developers, and coding enthusiasts. Overall, the mattpocock/skills repository is a powerful tool for anyone looking to improve their coding skills and work more effectively with coding agents. With these skills, you'll be able to code like a pro and take your engineering skills to the next level - revolutionize your coding workflow!
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🧠 Channel: https://t.me/GithubRe14 225
🔥 jbeder/yaml-cpp is trending — and it deserves your attention.
🔗 https://github.com/jbeder/yaml-cpp
📝 A YAML parser and emitter in C++
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The yaml-cpp library is a C++ parser and emitter for YAML 1.2 data. It allows you to easily work with YAML files in your C++ projects.
Key features include parsing and emitting YAML data, with a focus on matching the YAML 1.2 specification. The library uses
CMake for cross-platform building and provides a simple way to integrate it into your projects.
To get started, you can follow the Tutorial and How to Emit YAML guides on the repository's wiki. For building, you'll need to create a build folder, run cmake, and then build the library using your chosen generator.
The library is well-suited for developers who need to work with YAML data in their C++ applications.
One-liner takeaway: yaml-cpp makes it easy to work with YAML data in C++ by providing a simple and efficient parser and emitter.
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🧠 Channel: https://t.me/GithubRe14 225
🚀 Meet addyosmani/agent-skills: a gem from today's GitHub trending list.
🔗 https://github.com/addyosmani/agent-skills
📝 Production-grade engineering skills for AI coding agents.
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Introduction to Agent Skills: The
addyosmani/agent-skills repository provides a set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices that senior engineers use when building software, ensuring AI agents follow them consistently across every development phase.
Key Features: The repository includes 24 skills that cover the entire development lifecycle, from defining what to build to shipping the final product. Each skill is a structured workflow with steps, verification gates, and anti-rationalization tables. The skills can be installed and used with various agents, including Claude Code, Cursor, Codex, and more.
Usage: To get started, users can install the skills using the skills CLI or by integrating them with their preferred agent. The repository provides detailed documentation and setup guides for each supported agent.
Technical Highlights: The skills are designed to be flexible and adaptable, allowing users to customize them to fit their specific needs. They also include features like automatic skill activation, slash commands, and support for multiple agents.
Audience: The addyosmani/agent-skills repository is suitable for developers, engineers, and teams looking to improve their software development workflow and ensure consistency in their coding practices.
In summary, the addyosmani/agent-skills repository offers a comprehensive set of skills for AI coding agents, covering the entire development lifecycle and providing a flexible and adaptable framework for improving software development workflows. Take your coding skills to the next level with agent skills!
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🧠 Channel: https://t.me/GithubRe14 225
🎯 abseil/abseil-cpp landed on trending. Worth a proper look.
🔗 https://github.com/abseil/abseil-cpp
📝 Abseil Common Libraries (C++)
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The Abseil C++ library is an open-source collection of C++ code that aims to augment the C++ standard library. It provides a wide range of utilities and components that can be used to build robust and efficient C++ applications.
The library includes
base, algorithm, container, debugging, and utility components, among others.
To get started with Abseil, you can follow the Quickstart guide which provides information on setting up your development environment, downloading the Abseil code, and running tests.
Abseil supports both Bazel and CMake build systems.
The library is designed to be compatible with a wide range of compilers, platforms, and build tools, and it follows Google's Foundational C++ Support Policy.
Abseil is not a replacement for the standard library, but rather a supplement that provides additional functionality and utilities.
The library is licensed under the Apache license, making it free to use and distribute.
In summary, Abseil is a powerful and flexible C++ library that can help you build better applications - and the best part is, you can use it today!
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🧠 Channel: https://t.me/GithubRe14 225
📌 Spotted on GitHub Trending: oven-sh/bun — let's break it down.
🔗 https://github.com/oven-sh/bun
📝 Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
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Bun is an all-in-one toolkit for JavaScript and TypeScript apps, designed as a fast and drop-in replacement for Node.js. At its core is the Bun runtime, written in Rust and powered by JavaScriptCore, reducing startup times and memory usage. The
bun command-line tool includes a test runner, script runner, and Node.js-compatible package manager. Key features include out-of-the-box support for TypeScript and JSX, fast package installation, and hot reloading.
To get started, you can install Bun using an install script, npm, Homebrew, or Docker. Bun supports Linux, macOS, and Windows, with minimal CPU requirements. The toolkit is suitable for developers looking for a faster and more efficient alternative to Node.js.
With Bun, you can bun run your scripts, bun test your code, and bun install packages. The toolkit also includes a bundler, package runner, and API for various tasks, such as HTTP serving, file I/O, and database interactions.
Overall, Bun is a powerful and flexible toolkit for building and running JavaScript and TypeScript applications. Swap Node.js for Bun and experience the speed difference.
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🧠 Channel: https://t.me/GithubRe14 225
💡 wonderwhy-er/DesktopCommanderMCP just hit the trending charts — here's why it matters.
🔗 https://github.com/wonderwhy-er/DesktopCommanderMCP
📝 This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities
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Desktop Commander MCP is a powerful tool that lets you search, update, manage files, and run terminal commands with AI. It offers a range of features, including remote AI control, file preview UI, enhanced terminal commands, and execute code in memory. The tool also supports various file formats, such as Excel, PDF, and DOCX, and allows you to interact with running processes and manage sessions.
The tool can be installed through various methods, including
npx, bash script installer, Smithery, and Docker installation. Each method has its own advantages and requirements, such as auto-updates and manual updates.
The key features of Desktop Commander MCP include:
- File preview UI with visual file previews and a built-in markdown editor
- Enhanced terminal commands with interactive process control and output streaming
- Execute code in memory without saving files
- Instant data analysis with support for CSV, JSON, and Excel files
- Native Excel file support with read, write, edit, and search capabilities
- PDF support with text extraction and creation capabilities
- DOCX support with read, create, edit, and search capabilities
The tool is designed for developers and power users who want to streamline their workflow and automate tasks. With its comprehensive audit logging and security hardening features, Desktop Commander MCP is a reliable and secure solution for managing files and running terminal commands with AI.
In summary, Desktop Commander MCP is a powerful tool that offers a range of features for managing files and running terminal commands with AI. With its various installation methods and comprehensive features, it is a great solution for developers and power users who want to streamline their workflow and automate tasks. Take your productivity to the next level with Desktop Commander MCP - your one-stop-shop for all AI development tools!
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🧠 Channel: https://t.me/GithubRe
14 225
🌟 asgeirtj/system_prompts_leaks caught my eye on GitHub Trending today.
🔗 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.
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The asgeirtj/system_prompts_leaks GitHub repository is a treasure trove of system prompts for various AI models, including Claude, ChatGPT, and Gemini. Its purpose is to document and share these prompts, allowing users to better understand how these AI models work and even use them to rewrite articles. The repository is constantly updated with new prompts and models, making it a valuable resource for anyone interested in AI.
Some of the key features of this repository include:
* A wide range of system prompts for different AI models
* Regular updates with new prompts and models
* A user-friendly interface making it easy to navigate and find specific prompts
To use this repository, simply browse through the different models and prompts, and click on the ones that interest you. You can also contribute to the repository by submitting new prompts or models.
From a technical standpoint, the repository is well-organized, with clear and concise documentation for each prompt. The use of
markdown and JSON files makes it easy to read and parse the data.
This repository is perfect for AI enthusiasts, developers, and researchers who want to gain a deeper understanding of AI models and their inner workings. So, if you're looking to unlock the secrets of AI, this repository is a great place to start.
The system_prompts_leaks repository is a game-changer for AI transparency - explore it now and unlock the full potential of AI!
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🧠 Channel: https://t.me/GithubRe
14 225
🚀 Meet kyutai-labs/pocket-tts: a gem from today's GitHub trending list.
🔗 https://github.com/kyutai-labs/pocket-tts
📝 A TTS that fits in your CPU (and pocket)
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The pocket-tts GitHub repository is home to a lightweight text-to-speech (TTS) application that runs efficiently on CPUs, eliminating the need for GPUs or web APIs. This project supports multiple languages, including English, French, German, Portuguese, Italian, and Spanish, and allows for voice cloning.
The key features of pocket-tts include:
- Small model size: 100M parameters
- Audio streaming
- Low latency: ~200ms to get the first audio chunk
- Faster than real-time: ~6x real-time on a CPU of MacBook Air M4
- Multi-language support
- Voice cloning
You can try out pocket-tts using the command line interface (CLI) with the
generate command or by running a local server with the serve command. Additionally, it can be used as a Python library to generate audio from text.
pocket-tts is suitable for developers and users looking for a lightweight, efficient, and easy-to-use TTS solution.
One-liner takeaway: With pocket-tts, generating high-quality speech from text is just a pip install and a function call away!
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🧠 Channel: https://t.me/GithubRe
