This article is automatically generated by n8n & AIGC workflow, please be careful to identify

Daily GitHub Project Recommendation: dockur/windows - Running Windows in Docker, Making the Impossible Possible!

Today, we’re unveiling an amazing GitHub project—dockur/windows! Have you ever dreamt of running a full Windows operating system inside a Docker container? This project turns that dream into reality, and it’s even simpler and more efficient than you might imagine. With over 39,000 stars, it has proven its unique value and widespread community recognition.

Project Highlights ✨

The core idea behind dockur/windows is to encapsulate a complete Windows system within a Docker container. This is not just a conceptual breakthrough, but a highly practical solution:

  • Extremely Convenient Deployment: Whether it’s Windows 11, Windows 10, or even nostalgic versions like Windows XP, Windows 7, or various Windows Server editions, you can deploy them with a single Docker command. It comes with a built-in ISO downloader, saving you the hassle of searching for installation files.
  • High-Performance Experience: The project supports KVM acceleration, which means you won’t sacrifice much performance due to virtualization, offering a near-native experience. This is undoubtedly a boon for developers or testers who need to run Windows applications on a Linux host.
  • Web Interface and RDP Access: You can easily access the running Windows interface through your browser for installation and initial configuration. Furthermore, you can also get a smoother, more feature-rich remote desktop experience via a standard RDP client, including audio and clipboard sharing.
  • Highly Customizable: From CPU cores, memory size, and disk capacity to user accounts, language settings, and even USB passthrough devices or physical disks, dockur/windows provides a wealth of environment variables and mounting options, allowing you to flexibly configure your Windows container according to your needs.

Technical Details and Use Cases 💡

This project is primarily driven by Shell scripts, cleverly combining Docker container technology with QEMU/KVM virtualization. Its design philosophy is to automate the complex Windows installation and configuration process and provide a clean, repeatable environment through Docker’s isolation.

  • Developers and Testers: Quickly launch a clean Windows environment for testing cross-platform applications, browser compatibility, or isolated development work, without the need to install cumbersome virtual machine software.
  • Nostalgia Enthusiasts and Researchers: Easily experience various classic Windows versions, such as Windows XP or Windows 7, for running and researching old games or software.
  • DevOps Practices: Integrate Windows environments into automation workflows using Docker Compose or Kubernetes, enabling more flexible CI/CD pipelines or deployment of specific applications.

How to Get Started 🚀

Getting started with dockur/windows is very simple! You just need to install Docker, and then run a simple command:

docker run -it --rm --name windows -p 8006:8006 --device=/dev/kvm --device=/dev/net/tun --cap-add NET_ADMIN -v "${PWD:-.}/windows:/storage" --stop-timeout 120 dockurr/windows

Then, open http://127.0.0.1:8006/ in your browser to see the automatic Windows installation process and enjoy the fun of running Windows in a container!

To learn more about advanced configurations and detailed usage, please visit the project’s GitHub repository:https://github.com/dockur/windows

Call to Action 💖

dockur/windows is a highly innovative and practical project. If you’re interested in running Windows in Docker, or are looking for a lightweight, customizable Windows environment solution, why not explore it now? Give this project a star, or contribute to make this amazing tool even better!

Daily GitHub Project Recommendation: theHarvester - Your Open-Source Intelligence (OSINT) Mining Tool!

In the cybersecurity domain, intelligence gathering is a crucial step. Today, we’re introducing a highly acclaimed open-source tool on GitHub—theHarvester. It’s a powerful and easy-to-use OSINT (Open-Source Intelligence) collection tool, designed specifically for the reconnaissance phase of red team assessments and penetration testing, aiming to help security professionals gain a comprehensive understanding of a target’s external threat posture.

Project Highlights

The core value of theHarvester lies in its automation and aggregation capabilities. It intelligently collects critical information about target domains from massive public resources, including but not limited to: email addresses, subdomains, IP addresses, and URLs. The reason this tool is highly regarded (with over 13.7K stars and 2.2K Forks) is precisely because it effectively helps security professionals quickly build a complete profile of a target. Whether it’s finding potential attack surfaces or identifying sensitive information exposed on the public network, theHarvester provides powerful support. It presents a multi-dimensional data view by integrating dozens of passive modules like Baidu, Brave, and Censys, as well as active modules like DNS brute-force and screenshots.

Technical Details and Use Cases

This project is developed using Python, ensuring excellent cross-platform compatibility and ease of use. For developers or security researchers, its modular design also offers convenience for extension and customization. theHarvester is particularly suitable for the following scenarios:

  • Red Teaming and Penetration Testing: Rapidly collect target information during the initial reconnaissance phase.
  • Attack Surface Management: Identify assets exposed by enterprises or organizations on the internet.
  • Security Research: Analyze public data for specific domains or organizations.

How to Get Started / Links

Want to experience the powerful features of theHarvester yourself? Installation is very simple, just a few steps:

  1. Clone the repository: git clone https://github.com/laramies/theHarvester
  2. Enter the directory: cd theHarvester
  3. Install dependencies: uv sync
  4. Run the tool: uv run theHarvester

For detailed usage guides and API key configuration, please visit its official GitHub repository:laramies/theHarvester

Call to Action

As an active and feature-rich OSINT tool, theHarvester is undoubtedly a must-have in every security engineer’s toolkit. We encourage you to explore this project, whether for learning, practical use, or contributing code and ideas. Click the link to start your intelligence gathering journey!

Daily GitHub Project Recommendation: Activepieces - Your Open-Source AI Automation and Zapier Alternative!

Still looking for solutions for complex business processes and AI workflow automation? Today’s recommended GitHub project is Activepieces (activepieces/activepieces ), a powerful, open-source Zapier alternative, born for the AI era’s workflows. With its exceptional flexibility and deep AI support, it has earned over 16,800+ stars on GitHub and continues to gain attention, adding 200+ stars today alone!

Project Highlights

Activepieces is not just a task automation tool; it’s an open automation platform tailored for the AI era.

  • Open-Source Zapier Alternative: If you’re tired of the high costs or limited features of traditional automation tools, Activepieces offers a fully open-source and self-hostable solution. It gives you complete control over your data and automation processes.
  • AI-First Design: The project deeply integrates AI capabilities, providing native AI components and an AI SDK, allowing you to easily build and deploy your own AI Agents. Whether combined with LLMs (Large Language Models) like Claude Desktop, Cursor, or Windsurf, Activepieces can serve as a powerful MCP (Multi-functional Collaboration Platform) toolkit, helping you create intelligent workflows.
  • Extreme Extensibility and Developer-Friendliness: All “pieces” (integration modules) are written in TypeScript and published as npm packages, providing developers with the best development experience, including local hot-reloading. The community has contributed over 280 integration modules, covering 200+ services like Google Sheets, OpenAI, and Discord, and this ecosystem continues to grow.
  • User-Friendly Drag-and-Drop Builder: Whether you are a technical or non-technical user, Activepieces’ intuitive drag-and-drop interface allows you to quickly get started and easily build complex automation flows, supporting loops, branching, HTTP requests, and even non-technical data cleaning within code blocks via the “ASK AI” feature.
  • Enterprise-Grade Features and Security: Supports team collaboration, developer setup tools, and allows non-technical users to use the no-code builder. It also offers self-hosting options to ensure data security and privacy.

Technical Details/Use Cases

Activepieces is built on TypeScript, ensuring code quality and development efficiency with its strong typing features. It is ideal for:

  • Business Automation: Connect various SaaS applications to automate daily tasks such as marketing, sales, and customer service.
  • AI Workflow Construction: Provide powerful execution capabilities for AI Agents, enabling data pre-processing, decision triggering, result publishing, and more.
  • Custom Integration Development: Developers can easily customize or create new integrations to meet specific business needs.

How to Get Started / Links

Want to experience this powerful AI automation platform? Click the links below to explore!

Call to Action

With its active community and MIT license (with a commercial license for the enterprise version), Activepieces is rapidly growing into a star project in the automation space. Whether you’re a non-technical user looking for efficiency gains or a developer eager to contribute, we encourage you to explore this project, contribute your “pieces,” or join the community for discussion. Your participation will make Activepieces even more powerful!