Your Agents can now orchestrate Ralph using skills! (github.com)

Ralph Zero, a new intelligent orchestrator system, has been launched, enabling AI agents to enhance software development processes using an innovative Agent Skills package. Built upon Geoffrey Huntley's Ralph Loop, Ralph Zero supports stateful, iterative agent sessions with integrated quality checks, context synthesis, and feedback learning. This allows for a more intelligent orchestration of multi-step tasks, enhancing the software development lifecycle by automating key processes. The significance of Ralph Zero lies in its robust architecture that promotes universal compatibility across various AI tools like Claude Code, Cursor, and Copilot. By utilizing customizable quality gates, synthesized context, and an emphasis on feedback learning through documentation, Ralph Zero aims to standardize and improve development quality. Additionally, its Python-based meta-layer provides flexibility in managing agent iterations, with features like observable state logging and Git integration for seamless collaboration. As it enters active development under an MIT license, Ralph Zero presents a major step forward in optimizing how AI agents can work together in software creation.