maestro-flow

by catlog22 · MCP Server · ★ 566

About maestro-flow

Maestro-Flow 意图驱动的多智能体工作流编排框架 说出你要做什么,Maestro 自动规划、调度、执行、验证。 简体中文  |  English 大多数 AI 编程工具只能让一个 Agent 做一件事。 Maestro-Flow 让多个 Agent 协同完成从头脑风暴到部署上线的全流程 — 自适应决策引擎根据实际结果动态调整策略,知识图谱将每次执行的经验自动积累到下一次。 核心能力 自适应编排 — Ralph v2 引擎读取项目状态,将自然语言意图分类到 40+ 种命令链,在关键节点根据实际执行结果动态决策:继续、回退、还是插入修复循环。不写 YAML,不配置管线。 跨后端调度 — 同一工作流中混用 Claude、Codex、Gemini、Qwen、OpenCode,四种编排模式按需组合:Delegate(异步委派)、Team(角色协作)、Wave(依赖并行)、Swarm(蚁群探索)。 知识自增强 — Agent 执行中发现的模式、陷阱、决策,自动持久化为 Spec 和 Knowhow。Hook 系统将相关知识注入后续 Agent 的提示词 — 项目越用越聪明。 长周期自校正 — Odyssey 系列命令运行数小时级的自主循环,每个检查点自适应调整策略,直到满足验收标准。 安装 需要 Node.js ≥ 18 和 Claude...

ai-agentsclaude-codeclicodexgeminiknowledge-graphmcpmulti-agenttypescriptworkflow-orchestration

Quick Facts

Stars566
Forks68
LanguageTypeScript
CategoryMCP Server
Quality Score36.75/100
Open Issues2
Last Updated2026-10-15
Created2026-03-17
Platformsclaude-code, cli, codex, gemini, mcp, node
Est. Tokens~1181k

Compatible Skills

These tools work well together with maestro-flow for enhanced workflows:

  • optio — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • grace-marketplace — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • ORCH — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • lazycodex — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • omegacode — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is maestro-flow?

maestro-flow is Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more. It is categorized as a MCP Server with 566 GitHub stars.

What programming language is maestro-flow written in?

maestro-flow is primarily written in TypeScript. It covers topics such as ai-agents, claude-code, cli.

How do I install or use maestro-flow?

You can find installation instructions and usage details in the maestro-flow GitHub repository at github.com/catlog22/maestro-flow. The project has 566 stars and 68 forks, indicating an active community.

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