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 14 130 підписників, посідаючи 14 041 місце в категорії Освіта та 28 697 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 14 130 підписників.
За останніми даними від 26 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 305, а за останні 24 години на 4, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 1.08%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.69% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 152 переглядів. Протягом першої доби публікація в середньому набирає 98 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 27 серпня, 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.
14 130
Підписники
+424 години
+417 днів
+30530 день
Архів дописів
14 137
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14 137
🔍 Deep-diving into mukul975/Anthropic-Cybersecurity-Skills — fresh off the trending list.
🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
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🧠 Channel: https://t.me/GithubRe
14 137
🌟 nautechsystems/nautilus_trader caught my eye on GitHub Trending today.
🔗 https://github.com/nautechsystems/nautilus_trader
📝 Production-grade Rust-native trading engine with deterministic event-driven architecture
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🧠 Channel: https://t.me/GithubRe
14 137
🌟 usestrix/strix caught my eye on GitHub Trending today.
🔗 https://github.com/usestrix/strix
📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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🧠 Channel: https://t.me/GithubRe
14 137
🔥 harry0703/MoneyPrinterTurbo is trending — and it deserves your attention.
🔗 https://github.com/harry0703/MoneyPrinterTurbo
📝 利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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🧠 Channel: https://t.me/GithubRe
14 137
🎯 cactus-compute/needle landed on trending. Worth a proper look.
🔗 https://github.com/cactus-compute/needle
📝 14MB foundation model for tiny devices; phones, wearables, smart home, and robots.
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Needle 2 is an open-source, 45M-parameter model designed for tool calling, device use, and structured extraction. It's a compact, self-contained model that runs on a single 14MB binary, using approximately 28MB of RAM. Key features include a simple contract for tool calls, confidence-gated responses, and tool retrieval capabilities.
To
get started, you can install the cactus-needle package using pip install cactus-needle, then describe your tools and call them from Python. The model supports fine-tuning with LoRA, allowing you to adapt it to your specific use case.
The model is suitable for developers and researchers looking to integrate a compact, versatile AI model into their applications.
One-liner takeaway: Needle 2 packs a punch as a tiny, 14MB model that delivers big on tool calling and structured extraction capabilities.
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🧠 Channel: https://t.me/GithubRe
14 137
💡 ToolJet/ToolJet just hit the trending charts — here's why it matters.
🔗 https://github.com/ToolJet/ToolJet
📝 ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
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ToolJet is an open-source platform for building and deploying internal tools, workflows, and AI agents. It offers a visual builder with a drag-and-drop UI, integrations with databases, APIs, SaaS apps, and object storage. Key features include a built-in no-code database, multi-page apps and multiplayer editing, and 80+ data sources.
To get started, you can create a
ToolJet Cloud account or self-host using Docker with the following command:
docker run \
--name tooljet \
--restart unless-stopped \
-p 80:80 \
--platform linux/amd64 \
-v tooljet_data:/var/lib/postgresql/13/main \
tooljet/try:ee-lts-latest
14 137
🔥 public-apis/public-apis is trending — and it deserves your attention.
🔗 https://github.com/public-apis/public-apis
📝 A collective list of free APIs
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The public-apis/public-apis GitHub repository is a treasure trove of public APIs from various domains, manually curated by the community. It provides an extensive list of APIs that can be used for personal projects. The repository is divided into categories such as animals, anime, anti-malware, and more. Each API has its own description, authentication requirements, and HTTPS and CORS support. The repository also includes a
contributing guide and a list of issues and pull requests. To get started, simply browse the list of APIs, find one that suits your needs, and start using it. With the public-apis/public-apis repository, you can unlock a world of possibilities and take your projects to the next level: start building today and never stop innovating!
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🧠 Channel: https://t.me/GithubRe14 137
📌 Spotted on GitHub Trending: akitaonrails/ai-memory — let's break it down.
🔗 https://github.com/akitaonrails/ai-memory
📝 Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
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ai-memory is a tool that gives long-term memory to AI coding agents, allowing them to pick up where they left off, even if they're switched out for a different agent. It does this by creating a shared, persistent wiki compiled from sanitized lifecycle observations.
Key features include zero-friction lifecycle capture, opt-in managed workstreams, per-repository capture exclusions, and optional per-operator memory slots.
ai-memory supports a wide range of agents, including Claude Code, Codex, Command Code, and more.
To use ai-memory, simply run it in the same directory as your agent, and it will take care of the rest.
From a technical standpoint, ai-memory uses a git repo to store its wiki, making it easy to grep and backup.
This tool is ideal for developers who use multiple AI coding agents and want to streamline their workflow.
In short, ai-memory is a game-changer for AI coding agents - it's like having a personal assistant that remembers where you left off, so you can pick up right where you started!
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🧠 Channel: https://t.me/GithubRe14 137
🚀 Meet OpenCut-app/OpenCut: a gem from today's GitHub trending list.
🔗 https://github.com/OpenCut-app/OpenCut
📝 The open-source CapCut alternative
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OpenCut is a free and open source video editor designed for web, desktop, and mobile platforms. Its key features include a Rust core for seamless performance across devices, a plugin-first architecture, and a headless mode for automation and batch rendering. The Editor API and MCP server for AI agents are also in the pipeline.
To get started with development, you can install
proto and use it to set up the required tools. The repository provides scripts for web:dev, api:dev, and desktop:dev environments.
Although the project is not yet open to outside contributions, you can join the Discord community to follow along, ask questions, or simply hang out. OpenCut is supported by companies like fal.ai, which provides generative image, video, and audio models.
One-liner takeaway: OpenCut is revolutionizing video editing with its open source, cross-platform approach, and it's definitely one to watch in the world of creator tools!
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🧠 Channel: https://t.me/GithubRe14 137
⚡ unslothai/unsloth is making waves. Here's the full picture.
🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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Unsloth is a revolutionary desktop app that allows you to run, train, and deploy AI models locally. With support for various types of models, including LLMs, diffusion, embedding, and audio models, Unsloth provides a comprehensive platform for AI development.
Key Features:
Unsloth offers a range of features, including running and training models, fine-tuning, and deploying models with support for multiple hardware configurations, including CPU, NVIDIA, AMD, and Intel. It also provides remote access to your local models through secure Cloudflare HTTPS.
Usage:
To get started with Unsloth, you can download the native desktop app for your operating system or install it manually using the provided installation scripts. Unsloth can be used in three ways: Unsloth Desktop, Unsloth Studio (web UI), and Unsloth Core (code-based version).
Technical Highlights:
Unsloth supports various backends, including PyTorch, MLX, and GGUF, allowing for flexible model deployment. It also provides tools like Claude Code, Codex, and MCP for local model usage.
Audience:
Unsloth is designed for developers, researchers, and AI enthusiasts who want to run, train, and deploy AI models locally. With its user-friendly interface and comprehensive documentation, Unsloth is accessible to both beginners and experienced users.
Takeaway:
Unsloth is the ultimate AI development platform, providing a seamless and secure way to run, train, and deploy AI models locally, making it an essential tool for anyone working with AI.
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🧠 Channel: https://t.me/GithubRe
14 137
🔍 Deep-diving into basecamp/omarchy — fresh off the trending list.
🔗 https://github.com/basecamp/omarchy
📝 Beautiful, Modern & Opinionated Linux
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Check out Omarchy, a sleek Linux distribution from Basecamp and created by DHH. It's designed to be modern and opinionated, making it a unique offering in the Linux world. To learn more, head over to
omarchy.org. Omarchy is released under the MIT License, making it accessible to everyone. Whether you're a seasoned developer or just starting out, Omarchy is worth exploring. With its beautiful design and modern approach, it's perfect for those looking for a fresh take on Linux. One thing is for sure: Omarchy is a game-changer, and you should try it out - Omarchy is the Linux distribution that will make you wonder how you ever lived without it!
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🧠 Channel: https://t.me/GithubRe14 137
🔥 cordiverse/cordis is trending — and it deserves your attention.
🔗 https://github.com/cordiverse/cordis
📝 Meta-Framework of Spatiotemporal Composability
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The Cordis repository on GitHub is an open-source project that focuses on data science and machine learning applications. The purpose of Cordis is to provide a framework for building and deploying scalable data pipelines.
Key features of Cordis include modular design, flexible configuration options, and support for various data sources.
To use Cordis, users can
import the necessary modules and define their data pipelines using a simple and intuitive API.
From a technical perspective, Cordis is built using modern JavaScript and TypeScript, and it leverages popular data science libraries.
Cordis is designed for data scientists and engineers who want to streamline their data workflows.
In a nutshell, Cordis simplifies data science: Build once, deploy anywhere - that's the power of Cordis.
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🧠 Channel: https://t.me/GithubRe14 137
🎯 citrolabs/ego-lite landed on trending. Worth a proper look.
🔗 https://github.com/citrolabs/ego-lite
📝 The fastest browser for AI agents to run browser automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.
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Introducing ego lite, a browser designed for parallel work between humans and AI agents. It allows agents to run multiple browser tasks in isolated Spaces, increasing task completion speed and reducing token usage.
Key features include a dedicated Space for each agent, multitasking capabilities, and high-quality page snapshots. The
ego-browser skill enables any agent to drive the browser, exposing it as a set of in-page JavaScript tools.
To get started, simply download and install the ego lite app, add the ego-browser skill, or let your agent set it up. Then, run your first task using the /ego-browser command.
Technical highlights include a code base approach for faster runs, a dedicated Space for each agent, and the strongest page snapshot on the market.
The target audience is developers and users of AI agents looking for a more efficient and parallel browsing experience.
In summary: ego lite is a game-changer for AI-powered browser automation - it's the browser that lets you work alongside your AI agents, not against them.
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🧠 Channel: https://t.me/GithubRe
14 137
🚀 Meet HKUDS/CLI-Anything: a gem from today's GitHub trending list.
🔗 https://github.com/HKUDS/CLI-Anything
📝 "CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub:https://clianything.cc/
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CLI-Anything is an innovative project that bridges the gap between AI agents and the world's software by making any software agent-ready. The project's primary goal is to create a community-driven hub where users can browse, install, and manage various Command-Line Interfaces (CLIs) for different software applications.
Key Features:
-
CLI-Hub: A centralized registry where users can discover, install, and manage CLIs for various software applications.
- One Command Line: A unified interface for interacting with different software applications.
- Community-Driven: Users can contribute to the project by creating and sharing their own CLIs.
Technical Highlights:
- Built using Python and Click.
- Uses Pytest for testing and coverage.
- Supports multiple output formats, including JSON and human-readable text.
The project is suitable for developers, researchers, and power users who want to automate tasks, integrate different software applications, or create custom workflows. With CLI-Anything, users can harness the power of AI agents to interact with a wide range of software applications, from productivity tools to creative software.
In a nutshell, CLI-Anything is revolutionizing the way we interact with software by providing a unified, community-driven platform for creating and sharing CLIs - Empowering humans and agents to achieve more, one command line at a time!
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🧠 Channel: https://t.me/GithubRe