MCPFast / Tools / Railyard: Portable framework for AI agent projects
Railyard provides a portable workflow scaffold for agent projects, featuring SQLite-backed epics, tickets, roles, and explicit review gates.
View on GitHub→Railyard is a portable framework designed to streamline the development of AI agent projects. It offers a structured workflow scaffold, leveraging SQLite for persistent storage of project components. This approach ensures a consistent and reproducible development environment, crucial for complex AI agent architectures. By providing explicit review gates and clear definitions for epics, tickets, and roles, Railyard aims to enhance collaboration and maintainability within development teams.
Railyard provides a foundational structure for building and managing AI agent projects. It abstracts away much of the boilerplate code typically associated with agent development, allowing developers to focus on the core logic of their agents. The framework enforces a systematic approach to project management by defining clear stages and responsibilities. Its SQLite backend ensures that all project data, from high-level epics to individual tickets and role assignments, is stored locally and can be easily versioned and shared.
Railyard is intended for AI developers and teams working on agent-based projects. It is particularly beneficial for those who require a structured and reproducible development process. Developers building complex AI systems, managing multiple agent components, or collaborating on agent projects will find Railyard's organizational features invaluable. Its portability makes it suitable for individual developers and larger teams alike, ensuring consistency regardless of the development setup.