Empowers AI agents to autonomously manage library installation, configuration, and usage across any programming language by treating libraries as executable programs.
Agentic Executables (AE) is a framework-agnostic approach that transforms traditional libraries into agent-readable executables. It provides a standardized method, using structured Markdown files, for AI agents to independently handle the entire lifecycle of a library, including installation, configuration, integration, updates, and uninstallation. The system includes an MCP (Model Context Protocol) server to offer strategic guidance and a centralized registry of AE-enabled libraries, fostering an ecosystem where AI agents can operate autonomously with minimal human intervention. Key principles like agent empowerment, modularity, language agnosticism, and built-in validation ensure robust and reversible library management.