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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📈 Аналитический обзор Telegram-канала Github Top Repositories

Канал Github Top Repositories (@githubre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 248 подписчиков, занимая 15 402 место в категории Образование и 32 619 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 248 подписчиков.

Согласно последним данным от 08 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 357, а за последние 24 часа — 10, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.16%. В первые 24 часа после публикации контент обычно набирает 0.75% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 153 просмотров. В течение первых суток публикация набирает 99 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как repository, fork, programming, statistic, description.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

Благодаря высокой частоте обновлений (последние данные получены 09 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

13 248

Подписчики

+1024 часа

+897 дней

+35730 день

153

Просмотры поста

~ 9924 часа

~ 11248 часов

1.16%

Коэффициент вовлеченности

~ 41

Постов в день

Ads index

beta

Архив постов

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💡 CloakHQ/CloakBrowser just hit the trending charts — here's why it matters. 🔗 https://github.com/CloakHQ/CloakBrowser 📝 Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed. ────────────────────────────── CloakBrowser is a stealthy Chromium browser that passes every bot detection test. It's a real Chromium binary with fingerprints modified at the C++ source level, making it undetectable by antibot systems. Key features include a drop-in Playwright/Puppeteer replacement, same API, and same code - just swap the import. It also features humanize=True for human-like mouse curves, keyboard timing, and scroll patterns. Technical highlights include: - 49 source-level C++ patches for canvas, WebGL, audio, fonts, GPU, screen, WebRTC, network timing, automation signals, and CDP input behavior - Passes Cloudflare Turnstile, FingerprintJS, BrowserScan, and 30+ detection sites - Auto-updating binary with background update checks - Free and open source with no subscriptions or usage limits Audience: CloakBrowser is suitable for developers, data scientists, and anyone who needs to automate browser interactions while avoiding bot detection. To get started, simply pip install cloakbrowser or npm install cloakbrowser and launch the browser with launch(). One-liner takeaway: CloakBrowser makes it easy to automate browser interactions without getting detected by antibot systems, giving you the freedom to scrape, automate, and test with confidence. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 supertone-inc/supertonic caught my eye on GitHub Trending today. 🔗 https://github.com/supertone-inc/supertonic 📝 Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX. ────────────────────────────── Supertonic is a cutting-edge, on-device text-to-speech system that boasts lightning-fast performance, accuracy, and flexibility. Its primary purpose is to deliver high-quality speech synthesis locally, eliminating the need for cloud services or API calls, thus ensuring complete privacy. Key features include support for 31 languages, compact ONNX assets for efficient local execution, and ready-to-use examples across multiple ecosystems, such as Python, JavaScript, and native runtimes. The system also supports expressive tags like , , and for more natural speech. To get started, users can install the Python SDK with pip install supertonic and generate speech immediately. The technical highlights of Supertonic include its use of ONNX Runtime for cross-platform inference, browser support via onnxruntime-web, and batch processing for improved throughput. Audience wise, Supertonic is designed for developers, researchers, and anyone looking for a fast, private, and flexible text-to-speech solution. In a nutshell, Supertonic is the future of text-to-speech: fast, private, and always available, making it perfect for anyone looking to add high-quality speech synthesis to their applications. With Supertonic, you can have your own personal voice assistant, e-book reader, or language learning tool, all running locally on your device. The possibilities are endless, and the best part is that you can try it out now with their interactive demo. So why wait? Give Supertonic a try today and experience the power of lightning-fast, on-device text-to-speech synthesis! Supertonic: Transforming text into speech, one device at a time, with blazing speed and absolute privacy. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔥 danielmiessler/Personal_AI_Infrastructure is trending — and it deserves your attention. 🔗 https://github.com/danielmiessler/Personal_AI_Infrastructure 📝 Agentic AI Infrastructure for magnifying HUMAN capabilities. ────────────────────────────── Personal AI Infrastructure (PAI) is a Life Operating System designed to help individuals and teams achieve their ideal state using AI. The system consists of three layers: PAI (the OS itself), Pulse (the Life Dashboard), and The DA (the Digital Assistant). The key features of PAI include a text-based memory system, a self-improvement loop, and a custom Algorithm that drives the current → ideal state transition. PAI also has a skill system biased toward deterministic code execution and a library of custom thinking skills. To get started with PAI, you can use the one-line install command:

curl -sSL https://ourpai.ai/install.sh | bash

. PAI is designed to be operated by AI, so it's recommended to use your AI to install and run the system. PAI is built on top of Claude, TypeScript, and Bun, and has a strong focus on community and contributions. The system is constantly evolving, with a strong emphasis on privacy and security. In short, PAI is an innovative Life Operating System that empowers individuals and teams to achieve their goals using AI - and the best part is, your AI can install and run it for you. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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📌 Spotted on GitHub Trending: K-Dense-AI/scientific-agent-skills — let's break it down. 🔗 https://github.com/K-Dense-AI/scientific-agent-skills 📝 A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing. ────────────────────────────── The Scientific Agent Skills repository provides a comprehensive collection of 135 ready-to-use scientific and research skills for AI agents, covering domains such as bioinformatics, cheminformatics, and more. These skills enable AI agents to work with specialized libraries, databases, and tools, making them stronger and more reliable for complex workflows. With Scientific Agent Skills, you can transform your AI coding agent into an 'AI scientist' capable of executing multi-step scientific workflows. The repository includes 100+ scientific databases, 70+ optimized Python package skills, and 9 scientific integration skills, among others. To get started, simply install the skills using npx skills add K-Dense-AI/scientific-agent-skills or the GitHub CLI. With Scientific Agent Skills, you can accelerate your research, skip API documentation research, and execute complex pipelines with a single prompt. Unlock the full potential of your AI agent and revolutionize your scientific workflows! Takeaway: Turn your AI agent into a superpowered research assistant with Scientific Agent Skills! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 millionco/react-doctor caught my eye on GitHub Trending today. 🔗 https://github.com/millionco/react-doctor 📝 Your agent writes bad React. This catches it ────────────────────────────── The millionco/react-doctor repo is a diagnostic tool designed to help developers identify and fix issues in their React applications. Its primary purpose is to provide a simple way to detect common problems, such as missing or unnecessary dependencies, and offer suggestions for improvement. To use react-doctor, you can run a command in your terminal, and it will scan your project, checking for potential issues. The tool is built with ease of use in mind, making it accessible to developers of all levels. Some technical highlights of react-doctor include its ability to analyze your project's dependencies and provide recommendations for optimization. The target audience for this tool is React developers who want to ensure their applications are running smoothly and efficiently. In short, react-doctor is a must-have tool for any React developer looking to streamline their workflow and write better code. Debug your React app like a pro with react-doctor - it's just what the doctor ordered! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 influxdata/telegraf caught my eye on GitHub Trending today. 🔗 https://github.com/influxdata/telegraf 📝 Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data. ────────────────────────────── Telegraf is an agent for collecting, processing, and writing metrics, logs, and other data. It offers over 300 plugins for various functionalities, including system monitoring, cloud services, and message passing. With user-defined code integration and a standalone static binary, Telegraf ensures efficient data collection and transmission. It utilizes TOML for configuration, providing a user-friendly setup experience. The plugins cover a wide range of topics, such as devices, logs, messaging, monitoring, and system monitoring. To get started, users define a TOML configuration and pass it to Telegraf. The agent then collects data from inputs and sends it to outputs at each interval. With a community of over 1,200 contributors, Telegraf is a powerful tool for data collection and processing. So, what are you waiting for? Streamline your data collection with Telegraf - one agent to rule them all! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 yikart/AiToEarn landed on trending. Worth a proper look. 🔗 https://github.com/yikart/AiToEarn 📝 Let's use AI to Earn! ────────────────────────────── AiToEarn is a one-stop platform that helps individuals, creators, and businesses build, distribute, and monetize content on multiple global platforms. It achieves this through AI Agent automation, providing four key features: Monetize, Publish, Engage, and Create. The platform supports various channels, including Douyin, XiaoHongShu, Kuaishou, Bilibili, WeChat, TikTok, YouTube, Facebook, Instagram, and Twitter. Users can access AiToEarn through five methods: website, OpenClaw, Claude or other AI assistants, Docker deployment, or source code development. Technical highlights include automatic content generation and publishing, AI-powered engagement, and content creation Agents. The platform also offers a content trading market and supports MCP protocol for compatibility with other AI tools. Audience includes individuals, creators, and businesses seeking to monetize their content on multiple platforms. With AiToEarn, users can create, publish, engage, and monetize their content efficiently. In summary, AiToEarn is a powerful platform that empowers creators to earn money by streamlining content creation, publication, engagement, and monetization across various platforms. Automate your content journey with AiToEarn. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 obra/superpowers landed on trending. Worth a proper look. 🔗 https://github.com/obra/superpowers 📝 An agentic skills framework & software development methodology that works. ────────────────────────────── Superpowers is a software development methodology that gives your coding agents a set of composable skills to improve their performance. The key features include test-driven development, systematic debugging, and collaboration tools. To use Superpowers, you can install it on various coding agents like Claude Code, Codex CLI, or GitHub Copilot CLI by following the installation instructions in the README. The technical highlights of Superpowers include its emphasis on red/green TDD, YAGNI, and DRY principles. The methodology is designed to work with multiple coding agents, making it a versatile tool for developers. The target audience for Superpowers appears to be developers who want to improve their coding agents' performance and work more efficiently.

/plugin install superpowers@claude-plugins-official

Overall, Superpowers is a powerful tool that can help you take your coding agents to the next level. With its robust set of features and ease of use, it's a must-try for any serious developer: give your coding agent Superpowers and watch it become a super-coder. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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⚡ rohitg00/agentmemory is making waves. Here's the full picture. 🔗 https://github.com/rohitg00/agentmemory 📝 #1 Persistent memory for AI coding agents based on real-world benchmarks ────────────────────────────── Agentmemory is a persistent memory solution for AI coding agents, allowing them to recall previous conversations and maintain context. The key features include auto-capture of agent interactions, searchable memory, and injecting context into new sessions. To use agentmemory, simply run npx @agentmemory/agentmemory and it will start capturing your agent's interactions. It supports a wide range of agents, including Claude Code, Cursor, Gemini CLI, and many more, through MCP, REST API, or hooks. The technical highlights of agentmemory include its high retrieval accuracy of 95.2% R@5, significant token savings, and seamless integration with various agents. Agentmemory is designed for developers and users of AI coding agents who want to improve their productivity and efficiency by reducing the need for re-explaining and re-discovering information. In a nutshell, agentmemory revolutionizes the way AI coding agents interact with users, and its impact can be summarized as: Your agent will never forget what you told it again. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into tinyhumansai/openhuman — fresh off the trending list. 🔗 https://github.com/tinyhumansai/openhuman 📝 Your Personal AI super intelligence. Private, Simple and extremely powerful. ────────────────────────────── OpenHuman is an open-source, AI-powered assistant that simplifies daily life by integrating with various tools and services. It's designed to be simple, UI-first, and human-centric, allowing users to get started quickly without requiring terminal access. Key features include: - 118+ third-party integrations with one-click OAuth - Auto-fetch for pulling fresh data into the Memory Tree - A local-first knowledge base built from user data and activity - Batteries included: web search, web-fetch scraper, coder toolset, and native voice Usage involves downloading and installing OpenHuman, then connecting accounts to enable auto-fetch and Memory Tree. The project is open-source and free, with a GNU license. Technical highlights include: - TokenJuice for smart token compression, reducing cost and latency - Model routing for sending tasks to the right LLM - Local AI via Ollama for on-device workloads The target audience is anyone looking for a private, simple, and powerful AI assistant. Start your OpenHuman journey today and experience the future of AI-powered assistance! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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Owner 1win 1win Do you know the secret to 1win's success? Its a a simple rule: if a player wins — they pay him quickly. It doesn’t matter if it’s $100 or $20 million — payouts are processed instantly. This is how companies trusted by millions of players operate. If you’re curious how a crypto casino really works, check out the 1win owner’s channel. Ad. 18+

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🎯 HKUDS/AI-Trader landed on trending. Worth a proper look. 🔗 https://github.com/HKUDS/AI-Trader 📝 "AI-Trader: 100% Fully-Automated Agent-Native Trading" ────────────────────────────── Introduction to AI-Trader: The AI-Trader platform is designed to be an agent-native trading platform, allowing AI agents to exchange ideas and sharpen their trading skills. This platform supports all major AI agents and enables them to join in seconds by sending a simple message. Key Features: The platform offers instant agent integration, collective intelligence trading, cross-platform signal sync, one-click copy trading, universal market access, and a reward system for publishing signals and gaining followers. Usage: There are two ways to join the platform - for agent traders and human traders. Agent traders can connect instantly by sending a message, while human traders can join directly in three simple steps. Technical Highlights: The platform uses a modular architecture, with a FastAPI web service and a React frontend. It also has a comprehensive documentation set, including an agent integration guide, user guide, and API specifications. Audience: The platform is designed for both AI agents and human traders, providing a unique opportunity for collaboration and knowledge sharing. Punchy One-Liner: With AI-Trader, unleash the power of collective intelligence in trading and take your investments to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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Most “auto bots” fail at one step: risk throttling in hour 3. 🛡️ See Armorbot’s Stop button logic + setup. Classroom | Support #ad 📢 InsideAd

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⚡ yikart/AiToEarn is making waves. Here's the full picture. 🔗 https://github.com/yikart/AiToEarn 📝 Let's use AI to Earn! ────────────────────────────── AiToEarn is an AI-powered content marketing platform designed for solo entrepreneurs, creators, and businesses to build, distribute, and monetize content on multiple global platforms. The platform supports 12 major channels, including TikTok, YouTube, Facebook, and Instagram. Key features include: - Monetize: helps creators earn money through content sales and promotions - Publish: one-click content distribution across multiple platforms - Engage: automates content interaction and operations - Create: AI-powered content creation for videos, images, and more Usage is straightforward, with five methods to get started: 1. Directly using the website 2. Through OpenClaw 3. With Claude or other AI assistants 4. Docker one-click deployment 5. Source code development Technical highlights include support for Node.js 20.18.x and a MIT license. The platform is suitable for creators, entrepreneurs, and businesses looking to streamline their content marketing efforts. In a nutshell, AiToEarn is your one-stop-shop for content creation, distribution, and monetization – making content marketing easier and more efficient than ever. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🌟 datawhalechina/hello-agents caught my eye on GitHub Trending today. 🔗 https://github.com/datawhalechina/hello-agents 📝 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程 ────────────────────────────── Hello-Agents 是一个开源项目，旨在从基础理论到实际应用，全面掌握智能体系统的设计与实现。该项目包含五大部分，包括智能体与语言模型基础、构建大语言模型智能体、高级知识扩展、综合案例进阶和毕业设计及未来展望。通过这个项目，读者可以系统性地学习智能体的概念、历史、经典范式、应用和构建，从而成为一名智能体系统的构建者。 主要特点： - 开源免费 - 理论与实践并重 - 适合 AI 开发者、软件工程师、在校学生和自学者 - 包含配套代码和视频课程 贡献： - 报告 Bug - 提出建议 - 完善内容 - 分享实践致谢： - 核心贡献者 - Extra-Chapter 贡献者 - 特别感谢如果这个项目对你有帮助，请给我们一个 Star！

print("Hello-Agents: Your journey to mastering intelligent agents starts here!")

总结: Hello-Agents 是一个帮助你从零开始构建智能体系统的项目，加入我们，一起探索智能体的奇妙世界！ ────────────────────────────── 🧠 Channel: https://t.me/GithubRe