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maestro-flow MCP Server

catlog22/maestro-flow

Score: 84.6 ↓ 3.2% Rank #973 overall #60 of 6,030 in Agent Framework Agent Framework
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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

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Overview

catlog22/maestro-flow is a TypeScript tool. 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 Topics: ai-agents, claude-code, cli, codex, gemini, knowledge-graph, mcp, multi-agent, typescript, workflow-orchestration.

Ranked #973 out of 81417 indexed tools.

In the top 2% of all indexed tools.

Ecosystem

TypeScript No license
ai-agentsclaude-codeclicodexgeminiknowledge-graphmcpmulti-agenttypescriptworkflow-orchestration

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 563

563 stars → growing community

Freshness 25% 11d ago

Last commit 11d ago → recently updated

Issue Health 25% 81%

17/21 issues closed → responsive maintainer

Contributors 10% 9

9 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 68
Description Detailed
License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcp

From the README

<div align="center">

# 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。**

<br/>

[简体中文](README.md)&nbsp;&nbsp;|&nbsp;&nbsp;[English](README.en.md)

</div>

<br/>

> 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。

<br/>

## 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、Grok,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

```bash
npm install -g [email protected]
maestro install          # 交互式选择安装组件
```

需要 Node.js ≥ 22.19 和至少一个宿主 CLI:[Claude Code](https://docs.anthropic.com/en/docs/claude-code)(默认)和/或 [Grok Build](https://docs.x.ai/build/overview)。多 Agent 工作流还可选装 Codex CLI、agy CLI。

Grok 一等适配:先装官方 `ma
Read full README on GitHub →

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