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 is an Autonomous agents & workflows product. 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. Maestro is open source under the MIT license. Maestro is available on the command line.
sharpdeveye builds and maintains Maestro, and the product first shipped in 2026. Development happens publicly on GitHub with 206 stars and 42 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Maestro occupies a relatively distinct niche. Key capabilities include workflow commands, persistent memory, and anti-pattern documentation. It exposes integrations via an MCP server.
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