Maestro is a local-first AI agent harness designed for managing the spec-to-ship workflow efficiently. It operates without the need for a server or database, utilizing a command-line interface (CLI) and on-disk state model to maintain collaborative sessions. Key features include a structured task lifecycle, evidence logging, and contract management, which ensure clarity and accountability throughout the development process. The system supports seamless handoffs between agents, allowing for a smooth transition of tasks without losing context or progress.

In Maestro, tasks are the core units of work, linked to detailed specifications that define acceptance criteria and risk classifications. The platform emphasizes a disciplined state management approach, where each task's lifecycle is carefully tracked with evidence and handoff envelopes. Users can initialize projects, create tasks from specifications, and verify their completion through a defined verdict process. With its focus on local operations, Maestro provides a robust framework for teams looking to enhance their development workflows while maintaining high standards of quality and trust.