Github Top Repositories

🚀 Meet kyutai-labs/pocket-tts: a gem from today's GitHub trending list. 🔗 https://github.com/kyutai-labs/pocket-tts 📝 A TTS that fits in your CPU (and pocket) ────────────────────────────── The pocket-tts GitHub repository is home to a lightweight text-to-speech (TTS) application that runs efficiently on CPUs, eliminating the need for GPUs or web APIs. This project supports multiple languages, including English, French, German, Portuguese, Italian, and Spanish, and allows for voice cloning. The key features of pocket-tts include: - Small model size: 100M parameters - Audio streaming - Low latency: ~200ms to get the first audio chunk - Faster than real-time: ~6x real-time on a CPU of MacBook Air M4 - Multi-language support - Voice cloning You can try out pocket-tts using the command line interface (CLI) with the generate command or by running a local server with the serve command. Additionally, it can be used as a Python library to generate audio from text. pocket-tts is suitable for developers and users looking for a lightweight, efficient, and easy-to-use TTS solution. One-liner takeaway: With pocket-tts, generating high-quality speech from text is just a pip install and a function call away! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: prisma/prisma — let's break it down. 🔗 https://github.com/prisma/prisma 📝 Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB ────────────────────────────── Prisma is a next-generation ORM that simplifies working with databases in Node.js and TypeScript applications. Its key features include auto-generated and type-safe query builder, declarative data modeling and migration system, and a GUI to view and edit data in your database. You can use Prisma in any Node.js or TypeScript backend application, including serverless applications and microservices. To get started, you can follow the quickstart guides or bring your own database and follow the guides to add Prisma to an existing project. The Prisma schema is the core of the Prisma ORM, where you define your application models in an intuitive data modeling language and configure generators. You can then use Prisma Client to send queries to your database, with features like type-safe queries and auto-generated query builder. Prisma is designed for developers who want to simplify their database workflows and focus on building amazing applications. With Prisma, you can generate Prisma Client and start sending queries to your database in minutes. Takeaway: Prisma simplifies database workflows, making it easier to build amazing applications with less code and more productivity. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 bradautomates/claude-video just hit the trending charts — here's why it matters. 🔗 https://github.com/bradautomates/claude-video 📝 Give Claude the ability to watch any video. /watch downloads, extracts frames, transcribes, hands it all to Claude. ────────────────────────────── Claude Video is a powerful skill that enables Claude to watch and analyze videos. With zero config, it can extract captions, download videos, and extract frames using yt-dlp and ffmpeg. You can paste a URL or local path, ask a question, and Claude will fetch captions, extract frames, and provide a timestamped transcript. The skill is useful for analyzing someone else's content, diagnosing bugs, summarizing videos, and more. The skill has various detail modes that trade speed and token cost for visual fidelity. It also features frame deduplication to drop near-identical frames and reduce token costs. Claude Video supports various hosts, including Claude Code, Codex, Cursor, Copilot, and Gemini CLI. To install, use /plugin marketplace add bradautomates/claude-video for Claude Code or npx skills add bradautomates/claude-video -g for other hosts. The skill is available for manual installation and development as well. With Claude Video, you can unlock the full potential of Claude and make it a more powerful tool for video analysis. Watch, analyze, and understand videos like never before! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 huxingyi/autoremesher just hit the trending charts — here's why it matters. 🔗 https://github.com/huxingyi/autoremesher 📝 Automatic quad remeshing tool ────────────────────────────── AutoRemesher is a cross-platform automatic quad remeshing tool that converts high-polygon meshes into clean quad-based topology. Its key features include automatic remeshing, quad-based topology, and a user-friendly interface. To use AutoRemesher, simply download the release binary for your platform, extract it, and run the executable. You can also build it from source using CMake and Qt 5.15.2. The technical highlights of AutoRemesher include its use of libraries such as Geogram, libigl, and isotropicremesher. It is suitable for 3D artists, developers, and anyone looking for a reliable and efficient remeshing tool. Here's a quick example of how to use AutoRemesher from the command line:

./autoremesher \
    --input armadillo.obj \
    --output remeshed.obj \
    --report remeshed_report.txt \
    --target-quads 50000 \
    --edge-scaling 1.0 \
    --sharp-edge 90.0 \
    --smooth-normal 0.0 \
    --adaptivity 1.0

Get AutoRemesher and start remeshing your 3D models in no time - it's like having a superpower for your 3D workflow! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 imthenachoman/How-To-Secure-A-Linux-Server caught my eye on GitHub Trending today. 🔗 https://github.com/imthenachoman/How-To-Secure-A-Linux-Server 📝 An evolving how-to guide for securing a Linux server. ────────────────────────────── The GitHub repo "imthenachoman/How-To-Secure-A-Linux-Server" is a comprehensive guide to securing a Linux server. The purpose of this guide is to teach users how to secure their Linux servers by covering various topics such as SSH server security, basics like limiting sudo and su access, network security with firewalls, and auditing. The guide is work in progress and is focused on at-home Linux servers, making it a great resource for individuals and small organizations. It's Linux distribution agnostic, meaning the concepts and recommendations apply to most Linux distributions. In terms of usage, the guide provides code snippets that can be copied and pasted, making it easy to follow along. The guide also highlights the importance of security updates and alerts, as well as automatic entropy pool updates for more secure random number generation. From a technical standpoint, the guide covers topics like UFW (Uncomplicated Firewall), iptables, Fail2Ban, and CrowdSec for network security. It also touches on Ansible playbooks for automating security tasks. The guide is geared towards users who have basic knowledge of Linux and want to learn about security. If you're new to Linux, it's recommended to start with a beginner's guide before diving into this one. In summary, securing your Linux server is crucial - don't wait until it's too late, start securing your server today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🎯 unclecode/crawl4ai landed on trending. Worth a proper look. 🔗 https://github.com/unclecode/crawl4ai 📝 🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here:https://discord.gg/jP8KfhDhyN ────────────────────────────── Crawl4AI is an open-source web crawler and scraper designed to produce clean, LLM-ready Markdown for data pipelines and AI applications. Its key features include fast and controllable crawling, adaptive intelligence to learn site patterns, and full control over sessions, proxies, and user scripts. To use Crawl4AI, you can install it via pip and run a simple web crawl using Python:

import asyncio
from crawl4ai import *

async def main():
    async with AsyncWebCrawler() as crawler:
        result = await crawler.arun(
            url="https://www.nbcnews.com/business",
        )
        print(result.markdown)

if __name__ == "__main__":
    asyncio.run(main())

Alternatively, you can use the command-line interface: crwl https://www.nbcnews.com/business -o markdown Technical highlights of Crawl4AI include its browser integration with managed browsers, structured data extraction using LLMs, and a scalable architecture designed for mass-scale production. Crawl4AI is ideal for developers, startups, and enterprises looking for a reliable and cost-effective web crawling solution. In short, Crawl4AI is the ultimate web crawling solution for anyone who wants to extract data from the web without breaking the bank. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into vxcontrol/pentagi — fresh off the trending list. 🔗 https://github.com/vxcontrol/pentagi 📝 Fully autonomous AI Agents system capable of performing complex penetration testing tasks ────────────────────────────── PentAGI is an innovative, AI-powered tool for automated security testing, designed for information security professionals and enthusiasts. Its key features include a fully autonomous AI agent, professional pentesting tools, and a smart memory system for storing research results. To get started, users can follow the Quick Start guide, and then access the system's features through its modern interface or Comprehensive APIs. The system's architecture is based on a microservices design, supporting horizontal scaling, and includes a knowledge graph integration using Graphiti and Neo4j. The target audience for PentAGI includes security researchers, AI enthusiasts, and ethical hackers. From a technical perspective, the system is built using a range of technologies, including Go, GraphQL, React, and TypeScript, and supports multiple LLM providers, such as OpenAI and Anthropic. In summary, PentAGI is a powerful and flexible solution for penetration testing, leveraging AI and other cutting-edge technologies - revolutionizing the world of security testing, one hack at a time. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🌟 anthropics/claude-cookbooks caught my eye on GitHub Trending today. 🔗 https://github.com/anthropics/claude-cookbooks 📝 A collection of notebooks/recipes showcasing some fun and effective ways of using Claude. ────────────────────────────── The Claude Cookbooks repository is a treasure trove of code snippets and guides designed to help developers build with Claude, a powerful AI assistant. To get started, you'll need a Claude API key, which you can sign up for free. The cookbooks feature a wide range of Python examples, but the concepts can be adapted to any programming language that supports interaction with the Claude API. The repository is divided into several sections, including Capabilities, Tool Use and Integration, Third-Party Integrations, and Multimodal Capabilities. You'll find examples on how to use Claude for text classification, retrieval augmented generation, and summarization, as well as how to integrate it with external tools and services. The cookbooks are designed for developers of all levels, from beginners to advanced users. If you're new to working with the Claude API, you can start with the Claude API Fundamentals course to get a solid foundation. The repository also includes a list of additional resources, such as the Anthropic developer documentation and the Anthropic Discord community, where you can connect with other developers and get help. The Claude Cookbooks are a community-driven effort, and contributions are welcome. Whether you're a seasoned developer or just starting out, you can help make this resource even more valuable by submitting your own code snippets, guides, or ideas. In short, the Claude Cookbooks are your go-to resource for building with Claude - so why wait, start cooking up something amazing today! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Meet wonderwhy-er/DesktopCommanderMCP: a gem from today's GitHub trending list. 🔗 https://github.com/wonderwhy-er/DesktopCommanderMCP 📝 This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities ────────────────────────────── Desktop Commander MCP is a powerful tool that lets you search, update, manage files, and run terminal commands with AI. It offers a wide range of features, including remote AI control, file preview UI, enhanced terminal commands, and instant data analysis. You can use it to execute code in memory, interact with running processes, and manage files and directories. The tool also provides comprehensive audit logging and security hardening to ensure your data is safe. To get started, you can install Desktop Commander MCP using one of the six options provided, including npx, bash script installer, Smithery, manual configuration, local checkout, or Docker installation. Each option has its own advantages and disadvantages, and you can choose the one that best suits your needs. Some of the key features of Desktop Commander MCP include: * Remote AI control: Use Desktop Commander from ChatGPT, Claude web, and other AI services via Remote MCP * File preview UI: Visual file previews in Claude Desktop with rendered markdown, inline images, expandable content, and more * Enhanced terminal commands: Execute terminal commands with output streaming, command timeout, and background execution support * Instant data analysis: Analyze CSV/JSON/Excel files with just a few clicks Desktop Commander MCP is designed for developers, data scientists, and anyone who wants to streamline their workflow and improve their productivity. With its robust features and user-friendly interface, it's an essential tool for anyone looking to take their work to the next level. In short, Desktop Commander MCP is a game-changer for anyone who wants to work smarter, not harder - it's like having a superpower in your terminal. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: iOfficeAI/OfficeCLI — let's break it down. 🔗 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. ────────────────────────────── Introducing OfficeCLI, the world's first Office suite designed for AI agents. This open-source tool allows AI agents to control Word, Excel, and PowerPoint with a single line of code, no Office installation required. OfficeCLI's built-in HTML rendering engine reproduces documents with high fidelity, giving AI agents "eyes" to work with. Key features include creating, reading, and editing Office documents, analyzing formatting issues, and modifying elements like text, fonts, and layouts. officecli commands enable seamless interaction with Office documents, making it easy to add slides, shapes, and content. For AI agents, getting started is as simple as running curl -fsSL https://officecli.ai/SKILL.md. Humans can use officecli with a GUI through AionUi or via the command line. Developers can install and test OfficeCLI in 30 seconds using a few bash commands. Some technical highlights include full i18n and RTL support, paragraph, run, table, and style modification in Word, as well as cell, formula, and sheet manipulation in Excel. The audience for OfficeCLI includes AI agents, developers, and anyone looking to automate Office tasks. In a nutshell, OfficeCLI revolutionizes Office automation, making it possible to create, read, and edit Office documents with ease — and that's a game-changer for AI and human users alike. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

🚀 Looking for a portfolio-ready NLP project? I recently published an end-to-end walkthrough on Towards Data Science using Kaggle’s Spooky Author Identification dataset. You’ll see how far classical NLP can go with: 📝 Bag-of-Words and TF-IDF 🔤 Character n-grams 📊 Model comparison 🧩 Ensemble stacking It’s a practical project for anyone preparing for an ML/DS role, with no deep learning required. I walk through the entire workflow step by step: 🔗 https://towardsdatascience.com/how-far-can-classical-nlp-go-from-bag-of-words-to-stacking-on-spooky-author-identification/

🌟 VoltAgent/awesome-design-md caught my eye on GitHub Trending today. 🔗 https://github.com/VoltAgent/awesome-design-md 📝 A collection of DESIGN.md files analysis by popular brand design systems. Drop one into your project and let coding agents generate a matching UI. ────────────────────────────── The VoltAgent/awesome-design-md GitHub repository is a curated collection of DESIGN.md files, a new concept introduced by Google Stitch, that enables AI agents to generate consistent UI. This repository provides ready-to-use DESIGN.md files extracted from real websites, including popular companies like Apple, Nike, and Spotify. The key features of this repository include a wide range of DESIGN.md files from various industries, a simple and easy-to-use format, and the ability to request a DESIGN.md file for a specific website. From a technical standpoint, the repository uses a plain-text design system document that AI agents can read to generate high-quality UI. The DESIGN.md files are written in Markdown, making it easy for developers to understand and implement. This repository is ideal for developers, designers, and vibecoders who want to generate consistent UI using AI agents. With over 70 DESIGN.md files available, this repository is a valuable resource for anyone looking to create high-quality UI. In summary, the VoltAgent/awesome-design-md repository is a game-changer for UI generation, and its impact can be summed up in one line: With VoltAgent/awesome-design-md, you can now generate consistent UI with ease, and take your design to the next level! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 addyosmani/agent-skills just hit the trending charts — here's why it matters. 🔗 https://github.com/addyosmani/agent-skills 📝 Production-grade engineering skills for AI coding agents. ────────────────────────────── The agent-skills repository by addyosmani provides a set of production-grade engineering skills for AI coding agents. These skills encode workflows, quality gates, and best practices that senior engineers use when building software, ensuring that AI agents follow them consistently across every phase of development. The repository includes 24 skills that cover the entire development lifecycle, from defining what to build to shipping it to production. Some key features include 8 slash commands that map to the development lifecycle, automatic activation of skills based on what you're doing, and support for various agents such as Claude Code, Cursor, and Codex. To get started, you can install the skills CLI and add the agent-skills repository using the command npx skills add addyosmani/agent-skills. You can also browse the skills before installing using npx skills add addyosmani/agent-skills --list. The technical highlights of this repository include the use of structured workflows with steps, verification gates, and anti-rationalization tables. The skills are also designed to be flexible and can be used with any agent that accepts system prompts or instruction files. The target audience for this repository includes developers who want to improve their coding skills and work more efficiently with AI agents. By using the agent-skills repository, developers can ensure that they are following best practices and producing high-quality code. In summary, the agent-skills repository is a valuable resource for developers who want to take their coding skills to the next level and work more effectively with AI agents. With its comprehensive set of skills and flexible design, it's an essential tool for any developer looking to improve their workflow and produce high-quality code - automate your coding workflow with agent-skills and take your development to the next level. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: SmartlyDressedGames/U3-SDK — let's break it down. 🔗 https://github.com/SmartlyDressedGames/U3-SDK 📝 Source code for Unturned, a free open-world zombie survival sandbox game. ────────────────────────────── The U3-SDK is the ultimate tool for Unturned game modding. This GitHub repository provides the source code for the game, allowing developers to create custom mods and content. The key features include access to the game's underlying code, the ability to create custom assets and mods, and a vast community of developers contributing to the project. To get started, you'll need to download the repository, install Unity Hub and the Unity 2022.3.62f3 editor, and ensure you have Unturned installed on Steam. You can use C# programming language to create custom mods. For example:

using UnityEngine;
public class Example : MonoBehaviour {
    // Your code here
}

The U3-SDK is perfect for game developers, modders, and anyone interested in game development. With its extensive documentation and resources, including a YouTube demo and modding documentation, you'll be creating custom mods in no time. Dive into the world of Unturned modding with the U3-SDK - where the only limit is your imagination! ────────────────────────────── 🧠 Channel: https://t.me/GithubRe

💡 MadsLorentzen/ai-job-search just hit the trending charts — here's why it matters. 🔗 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. ────────────────────────────── Ai-job-search is an open-source framework that utilizes Claude Code to assist with job applications. Its primary function is to help users find matching job postings, tailor their CV, and draft cover letters. Key features include setup, which creates a user profile, scrape, which searches job portals, and apply, which evaluates job fit and generates application materials. The framework also includes tools for interview preparation, outcome tracking, and upskill analysis. To use the framework, users must have Claude Code installed, as well as Python 3.10+ and a LaTeX distribution. The framework is designed for users seeking to streamline their job search process and is particularly useful for those in the Danish job market, although it can be adapted for other markets. In a nutshell, ai-job-search is your personal job search assistant that saves you time and boosts your chances of landing your dream job. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe