Github Top Repositories
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Top GitHub repositories in one place π Explore the best projects in programming, AI, data science, and more.
Show moreπ Analytical overview of Telegram channel Github Top Repositories
Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 14 237 subscribers, ranking 14 012 in the Education category and 28 298 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 14 237 subscribers.
According to the latest data from 01 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 294 over the last 30 days and by 28 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.96%. Within the first 24 hours after publication, content typically collects 0.65% reactions from the total number of subscribers.
- Post reach: On average, each post receives 136 views. Within the first day, a publication typically gains 93 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βTop GitHub repositories in one place π
Explore the best projects in programming, AI, data science, and more.β
Thanks to the high frequency of updates (latest data received on 02 September, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
14 237
Subscribers
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Posts Archive
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β‘ Zackriya-Solutions/meetily is making waves. Here's the full picture.
π https://github.com/Zackriya-Solutions/meetily
π Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai -https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows.
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Meetily is a privacy-first AI meeting assistant that captures, transcribes, and summarizes meetings entirely on your local machine. It's perfect for enterprises and professionals who need advanced meeting intelligence without compromising on privacy, compliance, or control.
Key features include
real-time transcription, AI-powered summaries, and multi-platform support. Meetily is open source and free to use, with optional PRO and Enterprise upgrades for enhanced accuracy and advanced features.
Technical highlights include GPU acceleration and custom OpenAI endpoint support. Meetily is built with Rust and Next.js, and its system architecture is designed for self-contained and secure operation.
The target audience includes professionals, teams, and organizations that require high accuracy and advanced features for their meeting workflows.
In short, Meetily is the go-to solution for private, secure, and intelligent meeting management - take control of your meeting data today!
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π§ Channel: https://t.me/GithubRe14 242
π₯ crynta/terax-ai is trending β and it deserves your attention.
π https://github.com/crynta/terax-ai
π Lightweight (7MB) Terminal-first AI-native dev workspace
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Terax is a lightweight terminal-first AI-native dev workspace built with Tauri 2, Rust, and React 19. It features a native PTY backend, WebGL renderer, and an agentic AI side-panel that runs against your own keys or fully local models. The workspace includes a code editor, file explorer, source control with a git graph, and a web preview pane.
Key features include:
-
xterm.js with WebGL renderer and multi-tab support
- GPU-accelerated block-based terminal with editor-like command input
- Inline AI autocomplete with local model support
- AI edit diffs and accept or reject hunk by hunk
- Custom themes and customization options
To get started, you can install Terax from the Releases page. Configure your AI settings by opening Settings -> AI, picking a provider, and pasting your API key.
Terax is perfect for developers who want a fast, lightweight, and feature-rich development environment.
The takeaway: Terax is the ultimate terminal-first dev workspace that combines the power of AI with a lightning-fast interface.
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π§ Channel: https://t.me/GithubRe
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π alirezarezvani/claude-skills caught my eye on GitHub Trending today.
π https://github.com/alirezarezvani/claude-skills
π 337 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 330+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents β engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.
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The alirezarezvani/claude-skills GitHub repository is a treasure trove of 354 production-ready Claude Code skills and plugins designed to enhance the capabilities of AI coding tools. This comprehensive library supports 13 AI coding platforms, including Claude Code, OpenAI Codex, Gemini CLI, and more. The repository is divided into 18 domains, covering a wide range of topics such as engineering, marketing, productivity, research, and finance.
To get started, users can
clone the repository and run setup scripts for their preferred platform. For example, to install on Gemini CLI, run ./scripts/gemini-install.sh. The repository also includes a convert.sh script to convert skills to other AI coding tools.
The skills are designed to be modular and reusable, with each skill including a SKILL.md file with structured instructions, Python tools for execution, and reference documents for additional context. The repository is MIT-licensed and has gained significant traction with over 5,200 GitHub stars.
Whether you're a developer, researcher, or business professional, the alirezarezvani/claude-skills repository has something to offer. So why wait? Dive in and start exploring the vast array of skills and plugins available. Supercharge your productivity with the power of AI coding tools and the alirezarezvani/claude-skills repository β Unlock the full potential of AI-assisted development today!
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π§ Channel: https://t.me/GithubRe14 242
π Meet CoplayDev/unity-mcp: a gem from today's GitHub trending list.
π https://github.com/CoplayDev/unity-mcp
π Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
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MCP for Unity is a game-changer for Unity developers, enabling them to control the Unity Editor using natural language from any MCP client. The Model Context Protocol allows large language models (LLMs) like Claude, Codex, and VS Code to manage assets, control scenes, edit scripts, run tests, and automate workflows.
To get started, simply
install the package from the Unity Package Manager, configure the detected clients, and prompt the LLM to perform tasks. With 47 focused MCP tool entrypoints, you can create scenes, edit C# scripts, and more.
The project is free and open-source under the MIT license, with a thriving community on Discord, GitHub Issues, and Discussions. Whether you're a seasoned developer or just starting out, MCP for Unity is a powerful tool to streamline your workflow.
One-liner takeaway: MCP for Unity unlocks the full potential of LLMs in game development, making it a must-have tool for any Unity developer looking to boost productivity and creativity!
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π§ Channel: https://t.me/GithubRe
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π‘ mattpocock/skills just hit the trending charts β here's why it matters.
π https://github.com/mattpocock/skills
π Skills for Real Engineers. Straight from my .claude directory.
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The mattpocock/skills GitHub repository is a collection of skills designed to help real engineers work effectively with coding agents. The skills are small, easy to adapt, and composable, allowing users to pick and choose the ones that best fit their needs.
To get started, users can run the
skills.sh installer and follow the quickstart guide. The skills are divided into two categories: engineering and productivity.
The engineering skills include tools for tasks such as grilling, triage, and code review, while the productivity skills include tools for tasks such as handoffs and teaching.
Some key features of the skills include the ability to grill-me and grill-with-docs, which help users align with the agent and build a shared language.
The skills also include tools for debugging, such as diagnosing-bugs, and for improving codebase architecture, such as improve-codebase-architecture.
The repository is designed for real engineers who want to work effectively with coding agents, and the skills are based on decades of engineering experience.
In short, the mattpocock/skills repository is a powerful tool for anyone looking to improve their workflow and work more effectively with coding agents - and with these skills, you'll be coding like a pro in no time!
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π§ Channel: https://t.me/GithubRe14 242
π‘ chthollyphile/folia-major just hit the trending charts β here's why it matters.
π https://github.com/chthollyphile/folia-major
π δΈζ³¨δΊη»δΈ½ηζθ―ε¨η»ζζηζ¬ε°ι³δΉ/navidrome/第δΈζΉη½ζδΊζζΎε¨
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Folia is an immersive online music player that offers a unique listening experience with its full-screen lyrics display and AI-generated theme colors. The project supports various music sources, including NetEase Cloud Music, Navidrome, and local music libraries. Key features include intelligent lyrics matching, LRC file recognition, and multiple full-screen lyrics animations.
To get started, users can choose from
desktop or web versions, with options for one-click deployment to Vercel. The project is built using Node.js and offers a responsive layout that adapts to different window sizes.
Folia is designed for music enthusiasts who want to elevate their listening experience. Whether you're a developer looking to contribute or a music lover seeking a new way to enjoy your favorite songs, Folia has something to offer. With its easy-to-use interface and customizable themes, Folia is the perfect choice for anyone looking to take their music experience to the next level. Get ready to immerse yourself in the world of music with Folia - where lyrics come alive!
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π§ Channel: https://t.me/GithubRe
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π Deep-diving into immich-app/immich β fresh off the trending list.
π https://github.com/immich-app/immich
π High performance self-hosted photo and video management solution.
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Introducing Immich, a high-performance, self-hosted photo and video management solution. Key features include uploading and viewing videos and photos, auto backup, selective album backup, and multi-user support. The app is available for both
mobile and web platforms, with features like scrubbable scrollbar, metadata view, and search by metadata.
Technical highlights include OAuth support, API keys, and virtual scroll. The app is designed for individuals and families who want to manage their photos and videos in a secure and private way.
To get started, check out the official website for documentation and installation guides.
Immich is built with contributors from all over the world, and you can join the community to contribute to the project.
Take control of your photos and videos - host them yourself with Immich, because your memories are worth it!
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π§ Channel: https://t.me/GithubRe
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π Spotted on GitHub Trending: agentskills/agentskills β let's break it down.
π https://github.com/agentskills/agentskills
π Specification and documentation for Agent Skills
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The agentskills/agentskills repository provides a standardized way to extend AI agent capabilities with specialized knowledge and workflows. At its core, an Agent Skill is a folder containing a
SKILL.md file with metadata and instructions that tell an agent how to perform a specific task.
Key features of Agent Skills include:
- Domain expertise: Capture specialized knowledge as reusable instructions and resources.
- Repeatable workflows: Turn multi-step tasks into consistent, auditable procedures.
- Cross-product reuse: Build a skill once and use it across any skills-compatible agent.
To use Agent Skills, agents load them through progressive disclosure in three stages: Discovery, Activation, and Execution. This approach allows agents to keep many skills on hand with only a small context footprint.
The repository is suitable for developers and users of AI tools and agentic clients, with resources available for getting started, including documentation, specification, example skills, and a Discord community.
Technical highlights of the repository include its open development, open standard, and permissive licensing under Apache 2.0 and CC-BY-4.0.
Here's an example of what a skill directory might look like:
my-skill/
βββ SKILL.md # Required: metadata + instructions
βββ scripts/ # Optional: executable code
βββ references/ # Optional: documentation
βββ assets/ # Optional: templates, resources
βββ ... # Any additional files or directories
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π₯ dotnet/skills is trending β and it deserves your attention.
π https://github.com/dotnet/skills
π Repository for skills to assist AI coding agents with .NET and C#
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The dotnet/skills GitHub repository is a treasure trove of curated skills and custom agents for coding agents, specifically designed for the .NET ecosystem. At its core, this repository provides a standardized framework for developers to leverage a wide range of .NET skills, from C# language server integration to Entity Framework and performance investigations.
Key features include a range of
plugins such as dotnet, dotnet-advanced, and dotnet-data, each catering to specific .NET development needs. To get started, users can install these plugins via the Copilot CLI or VS Code, and even explore them through the Cursor plugin marketplace or Codex CLI.
From a technical standpoint, the repository supports the agentskills.io open standard, ensuring compatibility with OpenAI Codex and other platforms. The code is well-organized, with each plugin following a standardized structure, making it easier for developers to contribute and add new plugins.
The primary audience for this repository includes .NET developers, architects, and anyone interested in leveraging AI and ML capabilities within their .NET projects. Whether you're looking to improve code quality, optimize performance, or explore new .NET features, the dotnet/skills repository has something for everyone.
In a nutshell, the dotnet/skills repository is all about amplifying developer productivity with AI-driven .NET skills - supercharge your coding experience today!
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π§ Channel: https://t.me/GithubRe14 242
π₯ ogulcancelik/herdr is trending β and it deserves your attention.
π https://github.com/ogulcancelik/herdr
π agent multiplexer that lives in your terminal.
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Herdr is a terminal-based tool that allows you to run multiple coding agents in a single terminal window, giving you a clear overview of which agents are blocked, working, or done. With herdr, each agent gets its own real terminal, not an app's imitation, so even full-screen TUIs render correctly. You can click, drag, and split panes into workspaces and tabs, and watch each agent's status update in real-time.
Key Features:
- A real terminal per agent
- Agent state at a glance
- Workspaces, tabs, and panes
- Nothing dies on detach, so you can close your laptop and reattach from another terminal or your phone over SSH
- Runs anywhere, with a single ~10MB Rust binary
Technical Highlights:
- Built with Rust for performance and reliability
- Works on Linux, macOS, and Windows (beta)
- No dependencies or GUI required
- Scriptable with a local socket API and CLI
Audience:
- Developers who work with multiple coding agents
- Teams that need to collaborate on coding projects
- Anyone looking for a lightweight, flexible, and powerful terminal-based tool
To get started, simply run
curl -fsSL https://herdr.dev/install.sh | sh to install, then type herdr to launch. With herdr, you can streamline your workflow and take your productivity to the next level: one terminal to rule them all.
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π§ Channel: https://t.me/GithubRe14 242
π‘ rommapp/romm just hit the trending charts β here's why it matters.
π https://github.com/rommapp/romm
π A beautiful, powerful, self-hosted rom manager and player.
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Romm is a self-hosted ROM manager and player that lets you scan, enrich, browse, and play your game collection with a clean interface. It supports multiple platforms, naming schemes, and custom tags. Key features include metadata fetching from IGDB, Screenscraper, and MobyGames, custom artwork from SteamGridDB, and achievements from Retroachievements. You can play games directly from the browser using EmulatorJS and RuffleRS, and share your library with friends.
The
rommapp/romm GitHub repository provides a Quick Start Guide for easy installation and troubleshooting steps. The project is open for contributions, and there's a community-driven Discord channel for discussions and support. For technical highlights, Romm uses a web-based interface and supports various platforms, including desktop and mobile devices.
Audience for Romm includes gamers, collectors, and emulator enthusiasts who want to manage and play their game collections easily. With its extensive features and community support, Romm is a must-have for anyone who plays on emulators.
Takeaway: Romm is the ultimate self-hosted ROM manager and player that simplifies your gaming experience!
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π§ Channel: https://t.me/GithubRe14 242
π Deep-diving into harvard-edge/cs249r_book β fresh off the trending list.
π https://github.com/harvard-edge/cs249r_book
π Machine Learning Systems
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The harvard-edge/cs249r_book GitHub repository is a comprehensive resource for learning machine learning systems engineering. Its purpose is to bridge the gap between building AI systems and engineering them to be efficient, reliable, safe, and robust. The key features include a two-volume textbook,
TinyTorch for building ML frameworks from scratch, hardware kits for deploying ML to devices, and MLSysΒ·im for simulating infrastructure.
To use this resource, students can start by reading the textbook and trying out labs, then move on to building TinyTorch and using MLSysΒ·im. Instructors can use the provided course map, slides, and assessment guides. The technical highlights include a curriculum map that connects all components and a growing community of contributors.
The intended audience is students, self-learners, and instructors looking to master ML systems. By following the learning loop of Read β Explore β Build β Model β Deploy β Practice β Teach, learners will gain a deep understanding of machine learning and systems engineering.
Ultimately, this repository teaches you to think at the intersection of machine learning and systems engineering, making you a proficient AI engineer - learn to build intelligent systems that work in the real world, not just in isolation.
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π§ Channel: https://t.me/GithubRe14 242
π Deep-diving into asgeirtj/system_prompts_leaks β fresh off the trending list.
π https://github.com/asgeirtj/system_prompts_leaks
π 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 repo is a treasure trove of system prompts for various AI chatbots, including Claude, ChatGPT, and Gemini. Its purpose is to document these prompts, making them accessible to everyone. The repo features a wide range of key features, including system prompts for different models and variants, such as Claude Fable 5, GPT-5.5, and Gemini 3.5 Flash.
To use the repo, simply navigate to the desired model or variant and click on the provided link to view its system prompt. The repo is constantly updated with new prompts, so be sure to check back regularly for the latest additions. From a technical standpoint, the repo is well-organized, with prompts categorized by model and variant, making it easy to find what you're looking for.
This repo is aimed at developers, researchers, and AI enthusiasts who want to understand how AI chatbots work and how they can be used in various applications. Whether you're looking to build your own AI chatbot or simply want to learn more about the technology, this repo is an invaluable resource.
In a nutshell, the
asgeirtj/system_prompts_leaks repo is a must-visit destination for anyone interested in AI chatbots and their system prompts. So, dive in and start exploring β you never know what you might discover! Unleash the power of AI chatbots with system prompts at your fingertips!
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π§ Channel: https://t.me/GithubRe
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π Spotted on GitHub Trending: Zackriya-Solutions/meetily β let's break it down.
π https://github.com/Zackriya-Solutions/meetily
π Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper live transcription, speaker diarization, and Ollama summarization built on Rust. 100% local processing. no cloud required. Meetily (Meetly Ai -https://meetily.ai) is the #1 Self-hosted, Open-source Ai meeting note taker for macOS & Windows.
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Meetily is a privacy-first AI meeting assistant that runs entirely on your local machine, capturing and transcribing meetings in real-time without sending any data to the cloud. Its key features include local transcription, real-time transcription, and AI-powered summaries. Meetily supports multiple platforms, including macOS, Windows, and Linux, and is
open-source and free to use.
To get started, you can download and install Meetily from the releases page, or build from source using the provided guides. Meetily also offers a PRO version with enhanced accuracy and advanced features for serious users and teams.
The system architecture is built with Tauri and uses a Rust-based backend and a Next.js frontend. Meetily is perfect for professionals and enterprises that need to maintain complete control over their sensitive information.
In short, Meetily gives you complete data sovereignty and advanced meeting intelligence without compromising on privacy, compliance, or control - and that's a meeting assistant that truly meets your needs.
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π§ Channel: https://t.me/GithubRe14 242
π₯ ChromeDevTools/chrome-devtools-mcp is trending β and it deserves your attention.
π https://github.com/ChromeDevTools/chrome-devtools-mcp
π Chrome DevTools for coding agents
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The Chrome DevTools for agents repo, chrome-devtools-mcp, enables coding agents to control and inspect a live Chrome browser. It acts as a Model-Context-Protocol (MCP) server, providing access to Chrome DevTools for reliable automation, debugging, and performance analysis.
Key features include:
-
performance insights: record traces and extract actionable performance insights
- advanced browser debugging: analyze network requests, take screenshots, and check browser console messages
- reliable automation: automate actions in Chrome using puppeteer
To get started, add the MCP server config to your agent, then install using the CLI or as a plugin, depending on your agent. The repo supports various agents, including Antigravity, Claude, and Copilot.
The chrome-devtools-mcp server requires Node.js, Chrome, and npm. It officially supports Google Chrome and Chrome for Testing, with other Chromium-based browsers possibly working but not guaranteed.
Audience: developers using coding agents, such as Antigravity, Claude, or Copilot, who want to leverage Chrome DevTools for automation, debugging, and performance analysis.
One-liner takeaway: Supercharge your coding agent with chrome-devtools-mcp for unparalleled Chrome browser control and insights!
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π§ Channel: https://t.me/GithubRe