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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.
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 13 241 підписників, посідаючи 15 402 місце в категорії Освіта та 32 619 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 13 241 підписників.
За останніми даними від 08 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 357, а за останні 24 години на 10, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 1.16%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.75% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 153 переглядів. Протягом першої доби публікація в середньому набирає 99 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 09 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.
13 241
Підписники
+1024 години
+897 днів
+35730 день
Архів дописів
13 241
⚡ rtk-ai/rtk is making waves. Here's the full picture.
🔗 https://github.com/rtk-ai/rtk
📝 CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
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Introducing rtk-ai/rtk, a high-performance CLI proxy that reduces LLM token consumption by 60-90%. This single Rust binary supports over 100 commands and has an overhead of less than 10ms. Key features include smart filtering, grouping, truncation, and deduplication, which are applied per command type to minimize token usage.
To
get started, users can install rtk using Homebrew, a quick install script, Cargo, or pre-built binaries. The installation process is straightforward, and the rtk --version command can be used to verify the installation.
Technical highlights of rtk include its ability to filter and compress command outputs before they reach the LLM context. This is achieved through a hook-based system that rewrites Bash commands to their rtk equivalents before execution. The result is a significant reduction in token consumption, making it an ideal solution for developers, data scientists, and anyone working with large language models.
Audience for rtk includes anyone looking to optimize their LLM workflow and reduce token consumption. Whether you're working with Claude Code, Copilot, or other AI tools, rtk can help you achieve your goals.
In summary, rtk-ai/rtk is a powerful tool for reducing LLM token consumption, and its ease of use, flexibility, and high-performance capabilities make it a must-have for anyone working with large language models: rtk your way to token savings today!
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🧠 Channel: https://t.me/GithubRe13 241
https://t.me/mira?start=ref_148350890
،The best, almost free, and officially verified AI agent on Telegram
13 241
📌 Spotted on GitHub Trending: CloakHQ/CloakBrowser — let's break it down.
🔗 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.
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Meet CloakBrowser, a stealthy Chromium browser that passes every bot detection test. It's not a patched config or JS injection, but a real Chromium binary with fingerprints modified at the C++ source level. Antibot systems score it as a normal browser — because it is a normal browser.
Key features include
humanize=True for human-like mouse curves, keyboard timing, and scroll patterns, and auto-updating binary with background update checks. It's also free and open source, with no subscriptions or usage limits.
Usage is simple: just pip install cloakbrowser or npm install cloakbrowser, and you're ready to go. The launch() function starts the browser, and you can use the standard Playwright or Puppeteer API.
Technical highlights include 49 source-level C++ patches, covering canvas, WebGL, audio, and more. The binary is verified with SHA-256 checksums to ensure integrity.
CloakBrowser is perfect for data scientists, web scrapers, and automation teams who need to bypass bot detection. With its ease of use and powerful features, it's a game-changer for anyone who needs to interact with websites programmatically.
One-liner takeaway: CloakBrowser makes bot detection disappear, so you can focus on what matters — getting the data you need.
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🧠 Channel: https://t.me/GithubRe13 241
🌟 rohitg00/agentmemory caught my eye on GitHub Trending today.
🔗 https://github.com/rohitg00/agentmemory
📝 #1 Persistent memory for AI coding agents based on real-world benchmarks
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AgentMemory is a persistent memory solution for AI coding agents, allowing them to recall previous conversations and maintain context. It supports a wide range of agents, including Claude Code, Codex CLI, and Gemini CLI, and provides features like confidence scoring, lifecycle management, and hybrid search. Key benefits include improved retrieval accuracy, reduced token usage, and increased efficiency.
npm install -g @agentmemory/agentmemory to get started. The solution is built on the iii engine and provides a demo command to seed sample sessions and test recall. With agentmemory, you can say goodbye to re-explaining things to your AI coding agent - it just remembers.
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🧠 Channel: https://t.me/GithubRe
13 241
🔍 Deep-diving into anthropics/claude-plugins-official — fresh off the trending list.
🔗 https://github.com/anthropics/claude-plugins-official
📝 Official, Anthropic-managed directory of high quality Claude Code Plugins.
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The anthropics/claude-plugins-official GitHub repository is a treasure trove for developers, offering a curated directory of high-quality plugins for Claude Code. With two main directories, /plugins for internal plugins developed by Anthropic and /external_plugins for third-party plugins from partners and the community, users can easily find and install plugins that suit their needs.
To get started, plugins can be installed directly from the marketplace via Claude Code's plugin system using the command
/plugin install {plugin-name}@claude-plugins-official. For contributors, the repository provides a clear structure for developing and submitting new plugins, with guidelines for internal and external plugins.
Each plugin follows a standard structure, including a plugin.json file for metadata, and optional configurations for MCP servers, slash commands, agents, and skills.
The takeaway: With its vast array of plugins and straightforward installation process, the anthropics/claude-plugins-official repository is a game-changer for anyone looking to supercharge their Claude Code experience!
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🧠 Channel: https://t.me/GithubRe13 241
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13 241
🔍 Deep-diving into obra/superpowers — fresh off the trending list.
🔗 https://github.com/obra/superpowers
📝 An agentic skills framework & software development methodology that works.
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Superpowers is a software development methodology that gives your coding agents a set of composable skills to build and create with ease. The key features of Superpowers include a step-by-step approach to coding, starting with
brainstorming and ending with test-driven-development. The workflow is divided into six main stages: brainstorming, using-git-worktrees, writing-plans, subagent-driven-development, test-driven-development, and requesting-code-review.
To use Superpowers, you can install it via various coding agent marketplaces such as Claude Code, Codex CLI, and Gemini CLI. The technical highlights of Superpowers include a Skills Library with various skills such as testing, debugging, and collaboration.
Superpowers is designed for developers and coders who want to streamline their coding process and create high-quality code. With its systematic approach and emphasis on testing, Superpowers is perfect for those who want to take their coding to the next level.
The one-liner takeaway is: Superpowers gives your coding agents the skills they need to build and create with ease and precision.
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🧠 Channel: https://t.me/GithubRe13 241
🔥 Imbad0202/academic-research-skills is trending — and it deserves your attention.
🔗 https://github.com/Imbad0202/academic-research-skills
📝 Academic Research Skills for Claude Code: research → write → review → revise → finalize
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The Academic Research Skills repository on GitHub, created by Imbad0202, is a comprehensive suite of tools designed to facilitate academic research and paper writing. The primary purpose of this project is to provide a human-in-the-loop approach, where AI assists researchers in handling mundane tasks, allowing them to focus on high-level thinking and writing.
Key features of the repository include Deep Research, Academic Paper, and Academic Paper Reviewer modes, which cover various aspects of research, from literature reviews to paper writing and peer review. The
ars-plan command enables users to engage in a Socratic dialogue to map out their paper structure.
To use the repository, users can install the plugin using the /plugin marketplace add Imbad0202/academic-research-skills and /plugin install academic-research-skills commands. The repository is suitable for academic researchers, students, and anyone looking to streamline their research and writing process.
The project's technical highlights include its integration with Claude Code, a 13-agent research team, and various quality gates to ensure the accuracy and validity of research findings. The repository also provides a README13 241
🌟 HKUDS/CLI-Anything caught my eye on GitHub Trending today.
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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The CLI-Anything project is a game-changer for making software agent-native. Its purpose is to bridge the gap between AI agents and the world's software by creating a universal interface that allows agents to interact with any application. The key features include a CLI-Hub where you can browse, install, and manage community-built CLIs, as well as a
pip install cli-anything-hub command to get started.
To use CLI-Anything, simply pip install cli-anything-hub and then cli-hub install <name> to install your desired CLI. You can also contribute your own CLI by opening a PR, and the hub will update instantly. The project has a strong focus on technical highlights such as structured and composable text commands, lightweight and universal design, and self-describing interfaces.
The project is perfect for developers and AI enthusiasts who want to make their software agent-native. With CLI-Anything, you can create a universal interface for your application, making it accessible to a wide range of AI agents. The project has a lot of potential for growth, with a strong community of contributors and a wide range of supported applications.
In summary, CLI-Anything is a powerful tool for making software agent-native, with a strong focus on community contribution and technical highlights. As the project says, "One command line to rule them all" - and with CLI-Anything, you can make any software agent-ready with just one command line. The takeaway: Make any software agent-native with one simple command line.
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🧠 Channel: https://t.me/GithubRe
13 241
🔥 tinyhumansai/openhuman is trending — and it deserves your attention.
🔗 https://github.com/tinyhumansai/openhuman
📝 Your Personal AI super intelligence. Private, Simple and extremely powerful.
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OpenHuman is your personal AI super intelligence, designed to integrate with you in your daily life. It's private, simple, and extremely powerful. With a clean desktop experience and short onboarding paths, you can get started in just a few clicks.
Key features include:
- 118+ third-party integrations with one-click OAuth
- A Memory Tree and Obsidian Wiki for a local-first knowledge base
- Batteries included: web search, web-fetch scraper, coder toolset, and native voice
- Smart token compression (TokenJuice) to reduce cost and latency
Technical highlights:
- Built with Rust, Node.js, and pnpm
- Uses Tauri and CEF for the desktop shell
- Includes
git submodule update --init --recursive for vendored sources
The target audience is anyone looking for a personal AI assistant that's easy to use and integrates with their daily life.
In short, OpenHuman is the ultimate AI sidekick that gets to know you in minutes, not weeks - star the repo and experience the future of AI today!
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🧠 Channel: https://t.me/GithubRe
13 241
🔥 plausible/analytics is trending — and it deserves your attention.
🔗 https://github.com/plausible/analytics
📝 Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
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Plausible Analytics is a privacy-first web analytics tool that's lightweight and cookie-free. It offers a simple, fast dashboard and is GDPR, CCPA, PECR compliant. You can use it as a managed cloud service or self-host it. The project is open source and independent, funded by subscribers.
Key features include:
-
Real-time insights
- Search insights integrated with Google Search Console
- API and integrations for custom workflows
- Define key goals and track conversions
Technical highlights:
Backend: Elixir + Phoenix
Databases: PostgreSQL, ClickHouse
Frontend: React + TailwindCSS13 241
💡 ZhuLinsen/daily_stock_analysis just hit the trending charts — here's why it matters.
🔗 https://github.com/ZhuLinsen/daily_stock_analysis
📝 LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
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The Daily Stock Analysis system is an AI-powered stock analysis platform that provides automated daily analysis and decision-making dashboards for A-share, Hong Kong share, and US share markets.
Key features include:
- AI decision reports with core conclusions, scores, trends, and risk alerts
- Multi-market data aggregation for stocks, ETFs, and market news
- Web and desktop workstations for manual analysis and configuration management
- Agent strategy inquiry for multi-round questioning and strategy validation
The system supports various
AI models and data sources, including Anspire, AIHubMix, and SerpAPI.
To get started, users can fork the repository and configure secrets for AI models, notification channels, and stock lists. Then, they can enable GitHub Actions for automated daily analysis or run the system locally using Docker.
The target audience includes individual investors, researchers, and financial institutions seeking to leverage AI for stock market analysis.
In a nutshell, Daily Stock Analysis is your one-stop-shop for AI-driven stock market insights, automating the tedious process of data collection and analysis, so you can focus on making informed investment decisions.
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🧠 Channel: https://t.me/GithubRe
13 241
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13 241
⚡ microsoft/ai-agents-for-beginners is making waves. Here's the full picture.
🔗 https://github.com/microsoft/ai-agents-for-beginners
📝 12 Lessons to Get Started Building AI Agents
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The AI Agents for Beginners course on GitHub is designed to introduce you to the world of building AI Agents. With 50+ language translations available, this course is accessible to a wide range of learners. The course covers the
fundamentals of building AI Agents, including lessons on AI Agentic Frameworks, AI Agentic Design Patterns, and Building Trustworthy AI Agents.
To get started, you can fork this repo and run the code examples, which utilize Microsoft Agent Framework with Azure AI Foundry Agent Service V2. You can also join the Microsoft Foundry Discord channel to meet other learners and get your questions answered.
This course is perfect for beginners and experienced learners alike, with each lesson including a written lesson, a short video, and Python code samples. Whether you're looking to build AI Agents for personal projects or professional applications, this course provides the foundation you need to get started.
Takeaway: Dive into the world of AI Agents with this beginner-friendly course and start building your own AI Agents today!
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🧠 Channel: https://t.me/GithubRe
13 241
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