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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 13 260 підписників, посідаючи 15 384 місце в категорії Освіта та 32 523 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 13 260 підписників.

За останніми даними від 09 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 373, а за останні 24 години на 13, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 1.17%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.73% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 155 переглядів. Протягом першої доби публікація в середньому набирає 97 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 10 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.

13 260
Підписники
+1324 години
+737 днів
+37330 день
Архів дописів
🎯 ggml-org/llama.cpp landed on trending. Worth a proper look. 🔗 https://github.com/ggml-org/llama.cpp 📝 LLM inference in C/C++ ────────────────────────────── The ggml-org/llama.cpp GitHub repository is a C/C++ implementation of LLM inference, focused on delivering high-performance and minimal setup. The project supports various models, including LLaMA, Mistral, and more. Key features include plain C/C++ implementation, Apple silicon optimization, and support for multiple architectures like x86, RISC-V, and GPUs. Technical highlights include 1.5-bit to 8-bit integer quantization, custom CUDA kernels, and Vulkan and SYCL backend support. The project also offers CPU+GPU hybrid inference for models larger than the total VRAM capacity. llama.cpp has a wide range of supported models, from text-only to multimodal models like LLaVA and Obsidian. To get started, you can install llama.cpp using brew, nix, or winget, or run it with Docker. Once installed, you can use the llama-cli command to work with local models or download models directly from Hugging Face. The project also offers a REST API server and various bindings for languages like Python, Go, and Node.js. The target audience includes developers, researchers, and anyone interested in LLM inference. Whether you're looking to integrate LLMs into your project or simply want to explore the capabilities of llama.cpp, this repository provides a comprehensive and well-maintained solution. With its high-performance capabilities, minimal setup, and wide range of supported models, llama.cpp is an excellent choice for anyone looking to dive into LLM inference. So, get started with llama.cpp today and discover the power of LLMs for yourself - llama.cpp is the fast lane to LLM inference! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 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 ────────────────────────────── The agentmemory GitHub repository provides a solution for coding agents to retain persistent memory, eliminating the need for re-explaining previous interactions. This tool is built on the iii engine and supports various agents, including Claude Code, Codex CLI, and Gemini CLI. agentmemory silently captures an agent's actions, compresses them into searchable memory, and injects relevant context into subsequent sessions. To use agentmemory, simply install it via npm install -g @agentmemory/agentmemory and start the memory server with agentmemory. The tool works with any agent that supports hooks, MCP, or REST API, and shares memories across all connected agents. The repository highlights several key features, including 95.2% retrieval accuracy, 92% fewer tokens, and support for 53 MCP tools. It also includes a detailed table showcasing the agents it works with, such as Claude Code, Codex CLI, and OpenClaw. In terms of technical highlights, agentmemory has 0 external databases, 12 auto hooks, and over 950 passing tests. The repository provides a demo.gif to illustrate its functionality and includes a benchmarking section that compares its retrieval accuracy to a grep baseline. The target audience for this tool appears to be developers working with coding agents, particularly those using the iii engine. With agentmemory, they can streamline their workflow and reduce the need for repetitive explanations. In summary, agentmemory is a game-changer for coding agents, enabling them to learn from previous interactions and providing a more efficient workflow - say goodbye to re-explaining everything, every time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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📌 Spotted on GitHub Trending: zakirullin/files.md — let's break it down. 🔗 https://github.com/zakirullin/files.md 📝 🌱 Private, quiet space for thinking. A simple app for your .md files. ────────────────────────────── Files.md is a simple, private, and local-first app for storing your notes, documents, journal, habits, checklists, and tasks in plain .md files. This app is designed to be a quiet space for thinking, with a focus on local-first and privacy, meaning your data is never sent to a server. You can use Files.md to store your whole life, including notes, documents, journal records, and checklists. The app is free and open-source, with extremely simple code that can be understood and extended by a single person or an LLM. Key features include the ability to work offline, optional out-of-the-box synchronization, and a Telegram chatbot for on-the-go access to your files. To get started, simply open app.files.md in your browser, click "Install files.md," and open a local folder to persist changes. Files.md is perfect for individuals who want to take control of their data and think deeply about their notes and ideas. By using this app, you can connect ideas, let them compound, and think through your notes to gain a deeper understanding of the world. The app is suitable for anyone looking for a simple, private, and flexible note-taking solution, including writers, researchers, students, and individuals looking to improve their productivity and thinking skills. In short, Files.md is a powerful tool for anyone looking to take control of their data and think deeply about their ideas - own your data, own your thoughts. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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opentoonz/opentoonz is making waves. Here's the full picture. 🔗 https://github.com/opentoonz/opentoonz 📝 OpenToonz - An open-source full-featured 2D animation creation software ────────────────────────────── OpenToonz is a 2D animation software based on Toonz Studio Ghibli Version, which was originally developed by Digital Video, Inc. and customized by Studio Ghibli. Key features include a comprehensive set of tools for creating and editing 2D animations. To get started, you can download and install OpenToonz from the latest installer on the OpenToonz site. From a technical perspective, OpenToonz is built using a variety of technologies and is released under the Modified BSD License, allowing for free use and modification for business or personal purposes. The software has a strong community behind it, with a Google forum for users and a GitHub issues page for developers and bug reporters. The target audience for OpenToonz includes professional animators, students, and hobbyists looking for a powerful and customizable 2D animation tool. Overall, OpenToonz is a powerful and flexible 2D animation software that's free to use and modify. OpenToonz is a game-changer for animators - and it's completely free. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet truelockmc/streambert: a gem from today's GitHub trending list. 🔗 https://github.com/truelockmc/streambert 📝 A cross-platform Electron Desktop App to stream and download any Movie, TV Series or Anime in the World. Zero Ads and Tracking ────────────────────────────── Streambert is a cross-platform Electron Desktop App that lets you stream and download movies, TV series, and anime from around the world without any ads or tracking. The app offers customization options, a library feature to track what you've watched, and trending sections to discover new content. It also supports subtitles and multithreading for faster downloads. To use Streambert, you'll need to install Node.js and obtain a free TMDB API read access token. The app is available for Linux, Windows, and can be built from source using npm. Some key features include: - Streaming and downloading movies, TV series, and anime - Customizable interface and features - Library and trending sections - Subtitle support and multithreading for faster downloads - Completely ad-free and tracker-free The app is designed for anyone looking for a convenient and private way to stream and download their favorite movies, TV series, and anime. The developer emphasizes that the app is for educational and personal use only and does not host or distribute any copyrighted content. Here's a simple example of how to install the app on Linux:
sudo dpkg -i streambert_*.deb
Streambert is a powerful tool for streaming and downloading content, and its open-source nature makes it a great option for those who value privacy and customization. With its user-friendly interface and extensive features, Streambert is a great choice for anyone looking for a convenient and private way to enjoy their favorite movies, TV series, and anime. One-liner takeaway: Streambert is the ultimate ad-free streaming and downloading solution for movie and TV lovers. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🔍 Deep-diving into rmyndharis/OpenWA — fresh off the trending list. 🔗 https://github.com/rmyndharis/OpenWA 📝 Free, Open Source, Self-Hosted WhatsApp API Gateway ────────────────────────────── Check out OpenWA, a free and open-source WhatsApp API Gateway designed for developers who want full control over their messaging infrastructure. This project offers a pluggable architecture, allowing you to swap database engines, storage backends, and cache layers without changing your application code. Key features include a full dashboard for session, webhook, and API key management, multi-session support to run multiple WhatsApp sessions concurrently, and docker native for zero-configuration production readiness. To get started, you can use the docker option or set up local development environment. The project is built on top of NestJS 11.x, TypeScript 5.x, and Node.js 22 LTS, ensuring a robust and scalable architecture. Whether you're a developer looking for a customizable WhatsApp API solution or an enterprise seeking to integrate WhatsApp into your existing infrastructure, OpenWA is definitely worth exploring. Take control of your messaging infrastructure with OpenWA - the open-source WhatsApp API Gateway that's free, flexible, and powerful. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet msitarzewski/agency-agents: a gem from today's GitHub trending list. 🔗 https://github.com/msitarzewski/agency-agents 📝 A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. ────────────────────────────── Welcome to The Agency, a collection of specialized AI agents designed to transform your workflow. Each agent has a unique personality, process, and deliverables, making them a valuable addition to your team. The agency-agents repository offers a range of agents across various divisions, including engineering, design, paid media, and sales. You can use these agents in different ways, such as integrating them with tools like Claude Code or using them as a reference for your own projects. To get started, you can install all agents or manually copy the ones you need. The repository also provides technical highlights and code examples to help you understand how the agents work. The target audience for this repository includes developers, designers, and sales professionals looking to automate and improve their workflows. Whether you're building a web application or managing a paid media campaign, The Agency has an agent that can help. In short, The Agency is your dream team of AI specialists - they never sleep, never complain, and always deliver. Assemble your team and transform your workflow today. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 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. ────────────────────────────── The anthropics/claude-plugins-official GitHub repository is a curated directory of high-quality plugins for Claude Code, offering a range of tools to enhance user experience. With internal plugins developed by Anthropic and third-party plugins from partners and the community, users can explore and install plugins directly from the marketplace via Claude Code's plugin system. To install a plugin, simply run the command /plugin install {plugin-name}@claude-plugins-official or browse through the plugin directory. From a technical standpoint, each plugin follows a standard structure, with required plugin.json metadata and optional configurations for MCP servers, slash commands, agents, and skills. This repository is perfect for developers and users looking to extend Claude Code's capabilities. In short, the anthropics/claude-plugins-official repository is your one-stop shop for unlocking the full potential of Claude Code - install, explore, and innovate! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 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. ────────────────────────────── Superpowers is a software development methodology that enhances your coding agents with a set of composable skills. Its purpose is to streamline the development process, ensuring that your agent follows a structured approach to building software. The key features of Superpowers include brainstorming, test-driven development, and subagent-driven-development, which enable your agent to refine ideas, write tests, and execute plans efficiently. To use Superpowers, you can install it via various plugin marketplaces, such as Claude Code, Codex CLI, or GitHub Copilot CLI, depending on your preferred coding agent. From a technical standpoint, Superpowers emphasizes Test-Driven Development, Systematic over ad-hoc processes, and Complexity reduction, ensuring that your agent prioritizes simplicity and verification. The target audience for Superpowers includes developers who want to leverage coding agents to improve their development workflow. In summary, Superpowers is a powerful tool that helps you build better software with your coding agent - it's like having a superpower for your code. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: can1357/oh-my-pi — let's break it down. 🔗 https://github.com/can1357/oh-my-pi 📝 ⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more ────────────────────────────── Introducing oh-my-pi, a cutting-edge coding agent that integrates a powerful IDE into its core. This innovative tool, built on top of Mario Zechner's Pi, is designed to revolutionize the way you code. With 40+ providers, 32 built-in tools, and 13 LSP operations, oh-my-pi is an all-in-one solution for developers. To get started, you can install oh-my-pi using curl -fsSL https://omp.sh/install | sh on macOS and Linux, or bun install -g @oh-my-pi/pi-coding-agent with Bun. Windows users can use irm https://omp.sh/install.ps1 | iex in PowerShell. Oh-my-pi boasts an impressive array of features, including code execution with tool-calling, LSP integration for seamless coding, and a real debugger for efficient issue resolution. It also supports time-traveling stream rules, first-class subagents, and native performance on all platforms, including Windows. The tool is designed to be user-friendly, with features like code review with priorities and verdicts, hashline editing for perfect edits, and hindsight for curated memory. Oh-my-pi also integrates seamlessly with GitHub and supports ACP for editor-drivable functionality. In summary, oh-my-pi is a game-changing coding agent that streamlines your development workflow. With its extensive features and user-friendly interface, it's an essential tool for any serious developer. Revolutionize your coding experience with oh-my-pi – it's the ultimate productivity boost! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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💡 HKUDS/CLI-Anything just hit the trending charts — here's why it matters. 🔗 https://github.com/HKUDS/CLI-Anything 📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/ ────────────────────────────── CLI-Anything is a groundbreaking project that bridges the gap between AI agents and the world's software by making any application agent-ready with a single command line. The purpose is to provide a universal interface for both humans and AI agents, enabling structured and composable workflows. The project offers several key features, including a CLI-Hub where you can browse, install, and manage community-built CLIs, and a SKILL.md generation feature that allows AI agents to discover and install CLIs autonomously. To get started, usage is straightforward: install the cli-anything-hub package, then use the cli-hub command to install your desired CLI. From a technical standpoint, CLI-Anything leverages Python 3.10+, supports multiple AI coding agents, and provides a lightweight and universal interface with minimal overhead. The project is geared towards a wide range of audiences, including developers, AI researchers, and anyone interested in making software more accessible to AI agents. In short, CLI-Anything is revolutionizing the way we interact with software, making it possible for AI agents to seamlessly integrate with any application - the future of human-AI collaboration is here, and it's command-line driven. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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🎯 rohitg00/ai-engineering-from-scratch landed on trending. Worth a proper look. 🔗 https://github.com/rohitg00/ai-engineering-from-scratch 📝 Learn it. Build it. Ship it for others. ────────────────────────────── The GitHub repository rohitg00/ai-engineering-from-scratch offers a comprehensive curriculum for learning AI engineering from the ground up. This free, open-source resource provides 428 lessons across 20 phases, covering topics from math foundations to autonomous systems, with a focus on hands-on implementation in Python, TypeScript, Rust, and Julia. The curriculum is structured to help learners build a strong foundation in AI concepts, with each lesson following a consistent pattern of reading, deriving math, writing code, running tests, and keeping reusable artifacts. The repository includes a range of features, such as a placement quiz to help learners find their starting point and a personalized learning path with hour estimates. The target audience for this repository includes individuals who want to understand how AI actually works, not just call APIs. The curriculum is designed to be accessible to those with basic coding skills, and no prior knowledge of AI is required. By the end of the curriculum, learners will have a portfolio of 428 artifacts that they can use in their daily workflow, including prompts, skills, agents, and MCP servers. The repository also includes a range of tools and resources, such as SkillKit, to help learners get started and stay on track. In short, rohitg00/ai-engineering-from-scratch is a valuable resource for anyone looking to learn AI engineering from scratch, with a focus on hands-on implementation and practical application. Build it, don't just learn it. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

multica-ai/andrej-karpathy-skills is making waves. Here's the full picture. 🔗 https://github.com/multica-ai/andrej-karpathy-skills 📝 A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. ────────────────────────────── The multica-ai/andrej-karpathy-skills GitHub repository is based on Andrej Karpathy's observations about the pitfalls of Large Language Models (LLMs) in coding. The repository aims to improve the behavior of Claude Code, an LLM-based coding assistant, by providing a set of guidelines that address common issues such as wrong assumptions, overcomplication, and lack of clarity. The guidelines are based on four key principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. These principles encourage the LLM to think critically, write simple code, make targeted changes, and focus on achieving specific goals. To use these guidelines, you can install them as a Claude Code plugin or add them to your project's CLAUDE.md file. The repository also includes a committed Cursor project rule, allowing you to apply the same guidelines when working with Cursor. The key insight behind these guidelines is that LLMs are good at looping until they meet specific goals, so it's better to give them success criteria and let them work towards it. By following these guidelines, you can expect to see fewer unnecessary changes, simpler code, and cleaner pull requests. In summary, the multica-ai/andrej-karpathy-skills repository provides a set of guidelines to help you get the most out of your LLM-based coding assistant, and the punchy one-liner takeaway is: Give your LLMs clear goals, and they'll code like pros! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 tinyhumansai/openhuman caught my eye on GitHub Trending today. 🔗 https://github.com/tinyhumansai/openhuman 📝 Your Personal AI super intelligence. Private, Simple and extremely powerful. ────────────────────────────── OpenHuman is an open-source AI assistant designed to integrate with your daily life, providing a simple and powerful experience. With 118+ third-party integrations and auto-fetch, it connects to your accounts and pulls data locally, compressing everything into Markdown files stored in a Karpathy-style Obsidian wiki. Key features include: - Simple, UI-first & Human: a clean desktop experience with a mascot that speaks and reacts to its surroundings - Memory Tree + Obsidian Wiki: a local-first knowledge base built from your data and activity - Batteries included: web search, web-fetch scraper, coder toolset, and native voice are wired in by default To get started, you can either download from the website or run the installation script:
curl -fsSL https://raw.githubusercontent.com/tinyhumansai/openhuman/main/scripts/install.sh | bash
OpenHuman is suitable for anyone looking for a powerful and private AI assistant, with a focus on minimizing vendor sprawl and keeping workflow knowledge on-device. The project is still in early beta and under active development, but it has the potential to revolutionize the way we interact with AI assistants. Star the repo and help others find the path: OpenHuman is the agent that learns about you in minutes, not weeks. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

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