Awesome GitHub RepositoriesImage Pre-configuration

This project is an AI-powered IDE extension and LLM coding assistant that provides a conversational interface for generating, refactoring, and debugging code. It functions as an AI agent framework and a Model Context Protocol client, connecting AI models to external data sources and tools to automate complex development tasks. The system is distinguished by its use of autonomous AI agents capable of multi-step task execution, including the ability to read files, modify code, and run terminal commands iteratively. It supports recursive agent orchestration through subagent delegation and employ

Azure Linux ist ein universelles Linux-Betriebssystem, das für virtuelle Maschinen und Container in der Azure-Cloud-Umgebung optimiert ist. Es dient als gehärtetes Cloud-Betriebssystem, das die Angriffsfläche für Bereitstellungen in virtualisierten Cloud-Umgebungen und auf Bare-Metal-Plattformen minimiert. Das Projekt nutzt ein deklaratives Linux-Build-System, das Konfigurations-Overlays verwendet, um Distributionspakete anzupassen. Dieser Ansatz ermöglicht die Modifikation von Systemkomponenten und die Erstellung von Paketspezifikationen, ohne den Upstream-Quellcode forken zu müssen. Die Distribution deckt die Härtung der Cloud-Infrastruktur und das Management von Paketspezifikationen ab. Sie lässt sich über eine Upstream-kompatible Pipeline in Standard-Linux-Build-Tools integrieren, um angepasste Distributionspakete und gehärtete Cloud-Images zu erstellen.

This project provides a standardized, portable containerized workspace designed to streamline deep learning development. By bundling essential machine learning frameworks and system dependencies into a single image, it eliminates manual configuration and ensures consistent execution across different host machines. The environment facilitates interactive data science workflows by enabling browser-based access to notebooks and monitoring tools through automated network port mapping. It also supports persistent data management by mounting local host directories directly into the container, ensur

VulApps is a vulnerability lab orchestrator that provides managed container environments. It delivers a curated suite of containerized security tools and applications with known security flaws for use in penetration testing sandboxes and exploit research. The project focuses on the rapid deployment of isolated environments designed for practicing security attacks and verifying vulnerability patches. It includes a collection of Docker-based vulnerable application environments and pre-configured toolsets for security auditing. The system covers the orchestration of container deployments to sim

Ethical-Hacking-Labs is a comprehensive cybersecurity training curriculum and lab suite designed for learning penetration testing, network analysis, and offensive security techniques. It provides a structured environment for practicing the full attack lifecycle, from initial reconnaissance and scanning to exploitation and post-compromise analysis. The project provides instructional materials and guided exercises that cover specific technical domains, including open source intelligence research and network security courseware. It includes a practical workbook for identifying system vulnerabili

Exegol is an offensive security platform and containerized tooling orchestrator designed to deploy and manage isolated security operations environments. It functions as a workspace manager that provisions pre-configured security images and toolkits within Docker containers to protect host systems from malicious payloads. The platform distinguishes itself by integrating AI security workflow orchestration, allowing AI assistants to discover and trigger security tools through a standardized communication protocol. It further provides remote desktop gateway capabilities, enabling GUI access via X