Github Top Repositories
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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Больше📈 Аналитический обзор Telegram-канала Github Top Repositories
Канал Github Top Repositories (@githubre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 14 225 подписчиков, занимая 13 933 место в категории Образование и 28 177 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 14 225 подписчиков.
Согласно последним данным от 31 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 287, а за последние 24 часа — 19, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 0.99%. В первые 24 часа после публикации контент обычно набирает 0.65% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 141 просмотров. В течение первых суток публикация набирает 93 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 01 сентября, 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.
14 225
Подписчики
+1924 часа
+877 дней
+28730 день
Архив постов
14 225
📌 Spotted on GitHub Trending: asgeirtj/system_prompts_leaks — let's break it down.
🔗 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 prompt instructions for various AI chatbots, including Claude, ChatGPT, and Gemini. This repo is all about transparency, offering a behind-the-scenes look at the hidden rules governing these AI models. With
system prompts for different models and versions, you can explore how these AI chatbots are designed to operate. The repo is regularly updated with new additions, such as Claude Sonnet 5 and Gemini 3.5 Flash. Whether you're a developer, researcher, or simply an AI enthusiast, this repository is a valuable resource for understanding the inner workings of AI chatbots. Stay ahead of the curve with the latest system prompts and diff updates, and discover the power of transparency in AI development. One key takeaway: Knowing the system prompts can help you unlock the full potential of AI chatbots.
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🧠 Channel: https://t.me/GithubRe
14 225
🌟 iOfficeAI/OfficeCLI caught my eye on GitHub Trending today.
🔗 https://github.com/iOfficeAI/OfficeCLI
📝 OfficeCLI is the first and best Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. Free, open-source, single binary, no Office installation required.
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The OfficeCLI is a revolutionary tool that empowers AI agents to control Word, Excel, and PowerPoint with ease. This open-source project provides a
single binary that works everywhere, with no Office installation or dependencies required. The built-in HTML rendering engine allows AI agents to "see" and reproduce documents with high fidelity.
To get started, AI agents can use a one-liner command to install the necessary skills, while humans can use the officecli command to create, read, and edit Office documents. Developers can also experiment with the tool using a 30-second live demo.
The OfficeCLI supports a wide range of features, including creating documents from scratch, reading and modifying text and structure, and analyzing formatting issues. It also provides extensive support for Word, Excel, and PowerPoint, including features like tables, shapes, and charts.
Whether you're an AI agent, human, or developer, the OfficeCLI is an indispensable tool for working with Office documents.
Takeaway: With OfficeCLI, AI agents can create stunning Office documents in a snap - curl -fsSL https://officecli.ai/SKILL.md and watch the magic unfold!
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🧠 Channel: https://t.me/GithubRe
14 225
🎯 argoproj/argo-cd landed on trending. Worth a proper look.
🔗 https://github.com/argoproj/argo-cd
📝 Declarative Continuous Deployment for Kubernetes
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Meet Argo CD, a declarative GitOps continuous delivery tool for Kubernetes. Its purpose is to automate application deployment and lifecycle management, making it auditable and easy to understand. Key features include declarative application definitions, automated deployment, and easy environment management.
To get started with
Argo CD, you can use the live demo at https://cd.apps.argoproj.io/ or check out the complete documentation at https://argo-cd.readthedocs.io/.
From a technical standpoint, Argo CD uses GitOps principles to manage production environments in Kubernetes. It's suitable for various audiences, including developers, DevOps teams, and enterprises looking to simplify and automate deployments using GitOps.
One of the major benefits of using Argo CD is that it allows you to manage your application configurations and environments in a declarative and version-controlled way. This approach makes it easier to track changes and ensure consistency across different environments.
In terms of technical highlights, Argo CD supports automated deployment, rollbacks, and self-healing, making it a robust tool for managing complex applications.
The Argo CD community is active and offers various resources, including blogs, presentations, and tutorials, to help you get started with the tool.
In a nutshell, Argo CD is all about simplifying and automating deployments using GitOps - and that's a game-changer for DevOps teams!
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🧠 Channel: https://t.me/GithubRe
14 225
🌟 mvanhorn/last30days-skill caught my eye on GitHub Trending today.
🔗 https://github.com/mvanhorn/last30days-skill
📝 AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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Introducing /last30days, an AI agent-led search engine that scores results based on real people's engagement, not editors. It searches multiple platforms like Reddit, X, YouTube, and GitHub in parallel, providing a more accurate picture of what's happening now.
Key features include zero config, intelligent search, and cross-source cluster merging. The engine is constantly updated with new sources and features, making it a powerful tool for anyone looking to stay informed.
Technical highlights include the use of a Python pre-research brain to resolve topics and entities, and a second judge to score results for humor and virality. The engine also supports shareable HTML briefs, making it easy to share research with others.
Usage is simple: just type "/last30days" followed by your topic, and the engine will provide a brief summary of what's happening now. You can also use the engine to compare tools, understand the world, or learn something fast.
Audience includes anyone looking to stay informed about the latest developments in their field, from developers and researchers to business professionals and curious individuals.
The engine is available on various platforms, including Claude Code, Codex, and GitHub, and can be installed using
npx skills add mvanhorn/last30days-skill -g.
In short, /last30days is a game-changer for anyone looking to stay informed: it's like having a superpower that lets you know what's actually happening now, not just what editors think you should know.
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🧠 Channel: https://t.me/GithubRe
14 225
🎯 prisma/prisma landed on trending. Worth a proper look.
🔗 https://github.com/prisma/prisma
📝 Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
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Hey there, junior dev! Let's dive into the Prisma GitHub repo. Prisma is a next-generation ORM that helps you work with databases in a more efficient and type-safe way. It consists of three main tools: Prisma Client, Prisma Migrate, and Prisma Studio.
You can use Prisma Client in any Node.js or TypeScript backend application, and it supports various databases like PostgreSQL, MySQL, and SQLite. To get started, you'll need to define your application models in a
prisma.schema file, which allows you to configure generators and data sources.
Here's an example of what the schema file might look like:
datasource db {
provider = "postgresql"
}
generator client {
provider = "prisma-client"
output = "../generated"
}
model Post {
id Int @id @default(autoincrement())
title String
content String?
published Boolean @default(false)
author User? @relation(fields: [authorId], references: [id])
authorId Int?
}
model User {
id Int @id @default(autoincrement())
email String @unique
name String?
posts Post[]
}
You can then use the Prisma Client to send queries to your database. For example, you can retrieve all User records like this:
const allUsers = await prisma.user.findMany()14 225
💡 TencentCloud/TencentDB-Agent-Memory just hit the trending charts — here's why it matters.
🔗 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 TencentDB Agent Memory repository provides a memory solution for AI agents, enabling them to learn workflows, retain task context, and reuse past experience. The system consists of two main components: symbolic memory for in-task information overload and memory layering for cross-session experience.
Key features include:
-
Memory layering: a hierarchical storage approach that distills fragmented conversations into structured personas and scenes.
- Symbolic memory: a Mermaid symbol graph that encodes task state transitions, reducing token usage and improving task success.
Technical highlights:
- Integrates with OpenClaw, reducing token usage by up to 61.38% and improving pass rate by 51.52%.
- Supports Hermes Agent, enabling memory-enabled capabilities.
This solution is designed for developers and engineers looking to enhance their AI agents with efficient memory capabilities.
The punchy one-liner takeaway: Empower your AI agents to remember what matters, so humans can focus on what truly counts.
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🧠 Channel: https://t.me/GithubRe
14 225
🌟 ruvnet/RuView caught my eye on GitHub Trending today.
🔗 https://github.com/ruvnet/RuView
📝 π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
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RuView is a revolutionary WiFi sensing platform that transforms ordinary WiFi into a spatial intelligence system. It detects people, measures breathing and heart rate, tracks movement, and monitors rooms — all through walls, in the dark, with no cameras or wearables. Just physics.
Key Features:
- Presence and occupancy detection
- Vital signs measurement (breathing rate and heart rate)
- Activity recognition (walking, sitting, gestures, falls)
- Environment mapping (RF fingerprinting)
- Sleep quality monitoring
Technical Highlights:
- Runs on low-cost ESP32 sensors with Cognitum Seed for persistent memory and AI integration
- Uses Channel State Information (CSI) and spiking neural networks for real-time learning
- Compatible with major smart-home ecosystems (Home Assistant, Apple Home, Google Home, Amazon Alexa)
-
pip install ruview for Python integration
Audience:
- Developers interested in spatial intelligence and WiFi sensing
- Smart home enthusiasts
- Researchers in fields like computer vision, machine learning, and IoT
Usage:
- Drop into any Home Assistant install with one --mqtt flag
- Pair with Apple Home, Google Home, or Alexa as a Matter Bridge
- Use with ESP32 hardware for live sensing or simulate with Docker
One-liner takeaway: RuView turns WiFi into a superpower, sensing your space without cameras, making it a game-changer for smart homes, healthcare, and beyond.
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🧠 Channel: https://t.me/GithubRe
14 225
🚀 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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The Agent Skills repository by addyosmani on GitHub provides production-grade engineering skills for AI coding agents, encoding workflows, quality gates, and best practices used by senior engineers. It includes
8 slash commands that map to the development lifecycle, such as /spec, /plan, /build, and /test. These commands activate the right skills automatically, ensuring consistent development practices. The repository also features a quick start guide, allowing users to install skills using the skills CLI or integrate them with various tools like Claude Code, Cursor, and GitHub Copilot. With 24 skills in total, this repository offers a comprehensive set of development skills for AI agents, making it an essential resource for developers and teams. One-liner takeaway: Level up your AI coding agents with production-grade engineering skills.
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🧠 Channel: https://t.me/GithubRe14 225
🔥 MadsLorentzen/ai-job-search is trending — and it deserves your attention.
🔗 https://github.com/MadsLorentzen/ai-job-search
📝 AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews.
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Ai Job Search is an innovative, AI-powered job application framework built on Claude Code. This open-source project helps you streamline your job search by evaluating job postings, tailoring your CV, writing cover letters, and preparing you for interviews.
To get started, simply
fork the repository, fill in your profile, and let Claude do the rest. The framework includes a structured workflow for self-profiling, fit evaluation, and application drafting, making it a valuable tool for job seekers.
The project features a language- and country-agnostic core workflow, with job portal search skills built for the Danish market. However, the pattern is designed to be easily adapted for other local job boards.
From a technical perspective, the framework leverages Claude Code, Python 3.10+, and Bun for Danish job search CLI tools. It also utilizes LaTeX distribution with lualatex and xelatex for CV and cover letter compilation.
Ai Job Search is perfect for anyone looking to optimize their job search process. With its robust features and adaptable design, it's an essential tool for job seekers and career guidance professionals alike.
In short, Ai Job Search is your personal job search assistant, making the job application process smarter, faster, and more efficient - automate your job search and land your dream job.
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🧠 Channel: https://t.me/GithubRe
14 225
🚀 Meet hesreallyhim/awesome-claude-code: a gem from today's GitHub trending list.
🔗 https://github.com/hesreallyhim/awesome-claude-code
📝 A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC. A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
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The hesreallyhim/awesome-claude-code repository is a curated collection of top-notch resources for Claude Code, a powerful coding companion. This repository aims to provide a comprehensive list of tools, guides, and best practices for developers to get the most out of Claude Code.
Key features include a hand-picked collection of resources, plugins, and technical guides to help developers improve their coding skills. The repository is suitable for beginners and veterans alike, with an emphasis on code quality, security, and originality.
To get started, users can explore the
Start Here section, which provides a list of essential resources, including guides, tutorials, and cheat sheets. The repository also features a From Anthropic section, which includes official resources and guides from the Anthropic team.
Some technical highlights of the repository include Claude Code Hooks: Complete Guide, Claude Code Guide, and Claude Code Security Review. These resources provide in-depth information on how to use Claude Code effectively, including how to write custom hooks, configure settings, and ensure security.
The repository is designed for developers, engineers, and researchers who want to leverage the power of Claude Code to improve their coding skills. Whether you're a beginner or an experienced developer, this repository has something to offer.
In short, the hesreallyhim/awesome-claude-code repository is a treasure trove of resources for anyone looking to master Claude Code and take their coding skills to the next level. Explore, learn, and code with confidence!
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🧠 Channel: https://t.me/GithubRe14 225
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14 225
🌟 kyutai-labs/pocket-tts caught my eye on GitHub Trending today.
🔗 https://github.com/kyutai-labs/pocket-tts
📝 A TTS that fits in your CPU (and pocket)
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Pocket TTS is a lightweight, CPU-friendly text-to-speech application that makes generating audio a breeze. With its small model size and efficient architecture, it can run on
2 CPU cores and achieve low latency of around 200ms. The application supports multiple languages, including English, French, German, Portuguese, Italian, and Spanish, and can handle infinitely long text inputs. It also features voice cloning and audio streaming capabilities.
To get started, you can try out the demo on the Kyutai website or install the application using pip install pocket-tts. The application comes with a CLI and a Python API, making it easy to integrate into your projects. You can also use the serve command to run a local server and generate audio via HTTP requests.
The application is designed for developers and researchers who want to add text-to-speech capabilities to their projects without the hassle of using GPUs or web APIs. With its efficient architecture and small model size, Pocket TTS is an ideal solution for a wide range of applications, from voice assistants to language learning tools.
Pocket TTS is a game-changer for text-to-speech: fast, efficient, and easy to use.
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🧠 Channel: https://t.me/GithubRe
