catlog22/maestro-flow
Intent-driven workflow orchestration framework for coordinating multiple AI coding agents across Claude, Codex, Gemini and other backends.
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Maestro-Flow is a TypeScript framework that orchestrates multiple AI agents to collaboratively complete development tasks from ideation to deployment. It features an adaptive decision engine (Ralph v2) that dynamically adjusts strategy based on execution results, a self-reinforcing knowledge graph that accumulates patterns and lessons across sessions, and supports cross-backend scheduling with four orchestration modes: Delegate, Team, Wave, and Swarm. The system integrates with Model Context Protocol (MCP) and includes long-running autonomous loops via Odyssey commands.
Frequently asked
- What is catlog22/maestro-flow?
- Intent-driven workflow orchestration framework for coordinating multiple AI coding agents across Claude, Codex, Gemini and other backends.
- Is maestro-flow open source?
- Yes — catlog22/maestro-flow is an open-source project tracked on heatdrop.
- What language is maestro-flow written in?
- catlog22/maestro-flow is primarily written in TypeScript.
- How popular is maestro-flow?
- catlog22/maestro-flow has 504 stars on GitHub.
- Where can I find maestro-flow?
- catlog22/maestro-flow is on GitHub at https://github.com/catlog22/maestro-flow.