This project provides a command-line interface for managing the lifecycle of applications from the Apple App Store. It functions as a package manager for macOS, enabling users to search for software, install new applications, and maintain existing installations directly through terminal commands. The tool distinguishes itself by wrapping private system APIs to perform store operations that are typically restricted to the graphical user interface. It integrates with the operating system to handle administrative privilege elevation, allowing for secure, automated modifications to protected appl
This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven
m-cli is a suite of command line utilities designed for macOS system administration, hardware management, networking, and security permissions. It provides a terminal-based interface to configure system preferences and manage hardware components. The project allows for the direct control of physical system components, such as fan speeds, battery states, and display brightness. It also provides utilities for network administration, including the management of Wi-Fi connections, DNS settings, VPNs, and firewall rules. The tool covers a broad range of administrative capabilities, including powe
x-cmd is an AI agent orchestrator, cloud infrastructure CLI, and cross-platform package manager that provides an enhanced POSIX shell toolkit. It integrates large language models directly into the terminal for chatting, code generation, and the execution of agentic workflows, while offering a framework for building interactive terminal user interface components. The project distinguishes itself by deploying containerized AI agents within isolated sandboxes, provisioning them with specialized skills and headless browser automation capabilities. It further streamlines development through a unif