Claude Skill

23blocks-OS/ai-maestro

AI Maestro 通过记忆检索、代码图谱查询和代理消息传递增强 Claude Code 代理。通过单一仪表盘管理 Claude、Aider 和 Cursor,并支持多机协作。

概览

Stars721
Forks94
语言TypeScript
最后更新2026-06-13
最近同步2026-07-03
前往 GitHub

仓库信息

拥有者23blocks-OS
仓库ai-maestro
完整名称23blocks-OS/ai-maestro
Repo ID1,073,323,930

安装这个 Skill

git clone https://github.com/23blocks-OS/ai-maestro.git

Registry 信息

类型openclaw_skill
质量分85/100
验证状态readme_parsed
最近验证2026-06-07
平台
ClaudeOpenClawCodexCursor
能力
pdfmemorysearchimageterminalworkflowagent-communicationagent-skillsagentic-aiai-agents
识别文件
README.mddocspackage.jsontests
配置键
AIDPACKAGE_JSON
安装方式
  • git clone https://github.com/23blocks-OS/ai-maestro.git
  • git clone https://github.com/23blocks-OS/lolabot.git

项目简介

AI Maestro 是一个配备技能系统的 AI 代理编排器,旨在增强 Claude Code 代理。它提供记忆检索、代码图谱查询和代理间消息传递等功能,并通过统一仪表盘管理 Claude、Aider 和 Cursor,支持多机协作。

英文描述

AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between computers and locations

要点

  • 配备技能系统的 AI 代理编排器
  • 通过记忆检索和代码图谱查询增强 Claude Code 代理
  • 支持代理间消息传递
  • 用于管理 Claude、Aider 和 Cursor 的统一仪表盘
  • 支持分布式工作流的多机协作

使用场景

  • 在统一工作流中编排多个 AI 编码助手
  • 通过持久化记忆和代码上下文增强 Claude Code 代理
  • 促进不同 AI 代理之间的通信
  • 通过中央界面管理 Aider 和 Cursor 等开发工具
  • 在多台机器上扩展 AI 辅助编码

README 摘要

<div align="center"> <img src="./docs/logo-constellation.svg" alt="AI Maestro Logo" width="120"/> # AI Maestro *I was running 35 AI agents across multiple terminals and became the human mailman between them. So I built AI Maestro.* **The OS for AI-first organizations — orchestrate any AI agent with persistent memory, agent-to-agent messaging, and multi-machine support.** [![Version](https://img.shields.io/badge/version-0.35.54-blue)](https://github.com/23blocks-OS/ai-maestro/releases) [![Platform](https://img.shields.io/badge/platform-macOS%20%7C%20Linux%20%7C%20Windows%20(WSL2)-lightgrey)](https://github.com/23blocks-OS/ai-maestro) [![License](https://img.shields.io/badge/license-MIT-green)](./LICENSE) [![GitHub Stars](https://img.shields.io/github/stars/23blocks-OS/ai-maestro?style=social)](https://github.com/23blocks-OS/ai-maestro) ![AI Maestro Dashboard](./docs/images/aiteam-web.png) [Quick Start](#-quick-start) · [Features](#-features) · [Documentation](#-documentation) · [Contributing](./CONTRIBUTING.md) </div> --- ## The Story I gave an AI agent a real task — not autocomplete, a real engineering problem. It checked the code, read the logs, queried the database, and came back with the answer. That was the moment. *This thing can actually work.* Within a week I was running 35 agents across terminals. They were productive, but they couldn't talk to each other. I became the human message bus — copying context from one terminal, pasting into another. I was the bottleneck in my own AI team. **So I built AI Maestro** — one dashboard to see every agent, on every machine, with persistent memory and direct agent-to-agent communication. Today I run 80+ agents across multiple computers, building real companies with them every day. **What makes this different:**

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数据来自 GitHub,同步时间:2026-07-03