Maestro is an open-source skillset for AI agents, offering 25 workflow commands, persistent memory, and anti-pattern documentation to improve agent workflow fluency. It integrates with MCP servers and is designed for developers building production-grade AI agent workflows.
Maestro sits in PulseGate's Frameworks & runtimes category. It focuses on enabling systematic planning and execution in AI agent workflows with reusable commands. It is built as an open-source project for AI agent developers and researchers. The project is open source (MIT). It ships for the command line.
sharpdeveye builds and maintains Maestro, and it first shipped in 2026. The project is developed in the open on GitHub with 206 stars and 42 commits in the last 90 days. Key capabilities include workflow commands, persistent memory, and anti-pattern documentation. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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