⚡ openclaw/openclaw-windows-node is making waves. Here's the full picture.

🔗 https://github.com/openclaw/openclaw-windows-node
📝 Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension
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The openclaw-windows-node repository is a native Windows companion suite for OpenClaw, an AI-powered personal assistant. This monorepo contains the Windows hub, shared client libraries, and CLI utilities. Key features include a system tray application with a modern UI, quick send functionality via global hotkey, and auto-updates from GitHub Releases. To use, simply download the latest stable installer, or build from source using the provided build.ps1 script.

Technical highlights include support for Windows 10 and 11, .NET 10.0 SDK, and WebView2 Runtime. The repository also includes a CLI validator for testing gateway connectivity and WebSocket send/probe functionality. The target audience is developers and users of the OpenClaw AI assistant who want a native Windows experience.

In a nutshell, openclaw-windows-node brings the power of OpenClaw to Windows, with a sleek and modern interface, and a robust set of features that make it an ideal companion for anyone looking to take their productivity to the next level - so why not claw your way to the top with OpenClaw on Windows?

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🧠 Channel: https://t.me/GithubRe

🚀 Meet aquasecurity/trivy: a gem from today's GitHub trending list.

🔗 https://github.com/aquasecurity/trivy
📝 Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
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Trivy is a versatile security scanner that detects vulnerabilities, misconfigurations, and secrets in various targets, including container images, filesystems, and Kubernetes. Its scanners can identify issues such as OS packages, software dependencies, and sensitive information. trivy supports multiple programming languages, operating systems, and platforms. To get started, you can install Trivy using brew install trivy or docker run aquasec/trivy, then use the trivy command to scan your target, like trivy image python:3.4-alpine or trivy fs --scanners vuln,secret,misconfig myproject/. Trivy is designed for developers, security teams, and DevOps engineers who want to ensure the security and integrity of their systems. With its extensive features and integrations, Trivy is a powerful tool for anyone looking to strengthen their security posture - and that's a trivy worth trying!

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: jwasham/coding-interview-university — let's break it down.

🔗 https://github.com/jwasham/coding-interview-university
📝 A complete computer science study plan to become a software engineer.
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Coding Interview University is a comprehensive study plan to help you prepare for a technical interview at top software companies like Amazon, Facebook, Google, and Microsoft. Created by John Washam, this plan covers the essential topics you need to know, from data structures and algorithms to system design and scalability.

To get started, choose a programming language and begin with the basics, such as variables, loops, and methods. The plan includes a daily study schedule and practice coding questions to help you stay on track.

Key features of this plan include:
- Step-by-step learning: Break down complex topics into manageable chunks
- Practice coding questions: Reinforce your understanding with hands-on exercises
- Study schedule: Stay organized and focused with a daily plan

Technical highlights of this plan include:
- Algorithmic complexity: Understand Big-O notation and asymptotic analysis
- Data structures: Learn about arrays, linked lists, stacks, queues, and hash tables
- System design: Study scalability, data handling, and system architecture

This plan is designed for anyone looking to improve their coding skills, from beginners to experienced engineers. Don't be intimidated if you're new to coding - this plan will guide you through the process.

In short, Coding Interview University is your one-stop resource for preparing for technical interviews. With dedication and practice, you'll be well on your way to landing your dream job - so start coding and crush that interview!

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🧠 Channel: https://t.me/GithubRe

🔥 github/copilot-sdk is trending — and it deserves your attention.

🔗 https://github.com/github/copilot-sdk
📝 Multi-platform SDK for integrating GitHub Copilot Agent into apps and services
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The Github Copilot SDK is a set of APIs that allows you to integrate the capabilities of Github Copilot into your own applications. With this SDK, you can embed Copilot's agentic workflows into your app and invoke them programmatically. The SDK exposes the same engine as the Copilot CLI, handling planning, tool invocation, and file edits.

The SDK supports multiple programming languages, including Node.js/TypeScript, Python, Go, .NET, Java, and Rust. You can install the SDK using the respective package managers, such as npm install @github/copilot-sdk for Node.js or pip install github-copilot-sdk for Python.

To get started, you can follow the Getting Started Guide, which provides a walkthrough of the installation and usage process. The SDK also provides a range of features, including support for custom agents, skills, and tools, as well as BYOK (Bring Your Own Key) for using your own API keys.

The SDK is designed to be production-ready and follows semantic versioning. If you encounter any issues or have feature requests, you can report them on the Github Issues page.

In summary, the Github Copilot SDK is a powerful tool for integrating Copilot's capabilities into your own applications, with support for multiple programming languages and a range of features. With this SDK, you can unlock the full potential of Copilot and take your development to the next level.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: mvanhorn/last30days-skill — let's break it down.

🔗 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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Last30Days Skill is a revolutionary search engine that uses AI to synthesize information from various sources like Reddit, X, YouTube, and GitHub, scoring it by what real people engage with, not editors. It's like having a superpower that helps you stay up-to-date on the latest developments in any field.

To use it, simply type /last30days [topic] and the AI agent will search all relevant sources in parallel, synthesizing the information into a brief. No more tedious searching or outdated information.

The skill has many features, including shareable HTML briefs, intelligent search that understands your topic before searching, and cross-source cluster merging that combines similar stories from different sources.

It's perfect for researchers, entrepreneurs, and anyone who wants to stay informed. Whether you're looking for information on a person, company, or topic, Last30Days Skill is the ultimate tool for you.

With its ability to search multiple sources at once and synthesize the information into a concise brief, Last30Days Skill is an indispensable tool for anyone looking to stay ahead of the curve. Get the latest scoop in seconds, not hours.

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🧠 Channel: https://t.me/GithubRe

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

🔗 https://github.com/opencv/opencv
📝 Open Source Computer Vision Library
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The OpenCV library is a powerful open-source computer vision tool that enables developers to build a wide range of applications, from image and video processing to object detection and tracking. With its extensive documentation and large community of contributors, OpenCV provides a comprehensive framework for computer vision and machine learning.

To get started, you can explore the official documentation and tutorials on the OpenCV website. The library is written in C++ and has interfaces for Python, Java, and other languages.

Whether you're a student, researcher, or developer, OpenCV has something to offer. So why not join the community and start building your own computer vision projects today? OpenCV is the key to unlocking the power of computer vision - start coding and see what you can create!

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🧠 Channel: https://t.me/GithubRe

💡 Leonxlnx/taste-skill just hit the trending charts — here's why it matters.

🔗 https://github.com/Leonxlnx/taste-skill
📝 Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
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The Taste Skill repository offers a collection of portable agent skills designed to upgrade AI-built interfaces with stronger layout, typography, motion, and spacing. These skills can be used with various coding agents like ChatGPT, Codex, or Claude Code. The repo includes image-generation skills for creating reference boards, which can be paired with image generators and then implemented using coding agents.

To use Taste Skill, simply install the desired skill using npx skills add https://github.com/Leonxlnx/taste-skill --skill "skill-name". The repository features multiple specialized variants, adjustable dials, and anti-repetition rules, making it a unique solution for AI design.

The skills are framework-agnostic and work with popular frameworks like React, Vue, and Svelte. The repository also includes a research directory with background writing that shaped the skills, as well as a CHANGELOG that details the updates and changes.

Taste Skill is suitable for developers, designers, and anyone looking to improve their AI-built interfaces. With its easy installation process and versatile skills, it's an excellent tool for enhancing the design and functionality of various projects.

In short, Taste Skill is a game-changer for AI design, and its punchy one-liner takeaway is: Level up your AI-built interfaces with Taste Skill - where design meets code!

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: NousResearch/hermes-agent — let's break it down.

🔗 https://github.com/NousResearch/hermes-agent
📝 The agent that grows with you
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The Hermes Agent is a self-improving AI agent that creates skills from experience, improves them during use, and builds a deepening model of who you are across sessions. It's designed to be flexible, allowing you to use any model you want, such as Nous Portal, OpenRouter, or Hugging Face, and switch between them with ease using the hermes model command.

The agent has a range of key features, including a real terminal interface, the ability to live where you do (e.g., Telegram, Discord, Slack), a closed learning loop, scheduled automations, and the ability to delegate and parallelize tasks. It also has a range of technical highlights, including support for six terminal backends and the ability to run on a variety of infrastructure, from a $5 VPS to a GPU cluster.

The Hermes Agent is suitable for a range of users, from developers to researchers, and is designed to be easy to use and customize. With its flexible architecture and range of features, it's an ideal tool for anyone looking to build a self-improving AI agent.

To get started with the Hermes Agent, you can install it using a simple one-liner command, and then start chatting with it using the hermes command. You can also customize the agent's behavior using a range of configuration options and tools.

One punchy takeaway: With the Hermes Agent, you can have a self-improving AI assistant that learns and adapts to your needs, all at a cost that's nearly nothing when idle.

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🧠 Channel: https://t.me/GithubRe

⚡ lfnovo/open-notebook is making waves. Here's the full picture.

🔗 https://github.com/lfnovo/open-notebook
📝 An Open Source implementation of Notebook LM with more flexibility and features
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Open Notebook is an open source, privacy-focused alternative to Google's Notebook LM. It's designed to give you full control over your data and provide a flexible AI model choice, with support for 18+ providers including OpenAI, Anthropic, and Ollama.

The platform allows you to organize multi-modal content such as PDFs, videos, and web pages, and even generate professional podcasts with advanced multi-speaker capabilities. You can also use intelligent search and context-aware chat features to get the most out of your research.

Technical Highlights include a REST API for custom integrations, content transformations for summarizing and extracting insights, and support for reasoning models like DeepSeek-R1 and Qwen3.

The project is built with Python, Next.js, React, SurrealDB, and LangChain, making it a great choice for developers who want to contribute or customize the platform.

Whether you're a researcher, student, or developer, Open Notebook is a powerful tool that can help you take control of your data and unlock new insights. So why not give it a try? Open Notebook: empowering your research, one note at a time.

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🧠 Channel: https://t.me/GithubRe