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RunMaestro/Maestro

RunMaestro/Maestro

Agent Orchestration Command Center
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3,467 ★ · RunMaestro/Maestro · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
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从该仓库的 GitHub 页面直接读取 · 条目类型:开源项目
收录与活跃
收录于 2026-10-10 · 最近见到 2026-10-10 · 共见到 1 次 · 被 1 个来源列出
评分构成
综合分 110 · 3,467 ★ · 1 个来源 · repo
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怎么安装?
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谁维护它、还在更新吗?
仓库 RunMaestro/Maestro;我们收录于 2026-10-10;最近见到 2026-10-10。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Maestro

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

"Maestro hones fractured attention into focused intent."
Maestro is a cross-platform desktop app for orchestrating your fleet of AI agents and projects. It's a high-velocity solution for hackers who are juggling multiple projects in parallel. Designed for power users who live on the keyboard and rarely touch the mouse.
Collaborate with AI to create detailed specification documents, then let Auto Run execute them automatically, each task in a fresh session with clean context. Allowing for long-running unattended sessions, my current record is nearly 24 hours of continuous runtime.
Run multiple agents in parallel with a Linear/Superhuman-level responsive interface. Currently supporting **Claude Code**, **OpenAI Codex**, **OpenCode**, **Factory Droid**, **Copilot-CLI** (beta), **Qwen3 Coder** (beta), and **Oh My Pi** (beta) with plans for additional agentic coding tools (Gemini CLI) based on user demand.
> **How It Works:** Maestro is a pass-through to your AI provider. Whatever MCP tools, skills, permissions, or authentication you have configured in Claude Code, Codex, or OpenCode works identically in Maestro. The only difference is we're not running interactively - each task gets a prompt and returns a response, whether it's a new session or resuming a prior one.
~1m Intro Video
 | 
~27m Walkthrough and Demo
 | 
~6m Onboarding Demo
Features
Power Features
- 🌳 **Git Worktrees** - Run AI agents in parallel on isolated branches. Create worktree sub-agents from the git branch menu, each operating in their own directory. Work interactively in the main repo while sub-agents process tasks independently - then create PRs with one click. True parallel development without conflicts.
- 🤖 **Auto Run & Playbooks** - File-system-based task runner that batch-processes markdown checklists (Spec-Driven) or pursues a free-text objective (Goal-Driven) through AI agents. Create playbooks for repeatable workflows, run in loops, and track progress with full history. Each task gets its own AI session for clean conversation context, and you can open the live Thought Stream to watch the agent's reasoning as it works.
- 💬 **Group Chat** - Delegate the moderating. You appoint one agent as moderator and hand it the question; it routes to the right agents, follows up when an answer is thin, and keeps going for as many rounds as it takes before returning a synthesis. The multi-turn collaboration is the point, and it is what an inline @mention cannot do.
- 📣 **Cross-Agent Mentions** - Type @another-agent in any chat to consult it inline. Maestro forwards the relevant slice of your conversation, runs the other agent in the background without blocking you, and streams its reply back attributed to who answered. Each mention is a single-turn consult and you stay the moderator, so reach for Group Chat when you want an agent to run the follow-ups instead.
- 🌐 **Mobile Remote Control** - Built-in web server with QR code access. Monitor and control all your agents from your phone. Supports local network access and remote tunneling via Cloudflare for access from anywhere.
- 💻 **Command Line Interface** - Full CLI (maestro-cli) for headless operation. List agents/groups, run playbooks from cron jobs or CI/CD pipelines, with human-readable or JSONL output for scripting.
- 🚀 **Multi-Agent Management** - Run unlimited agents and terminal sessions in parallel. Each agent has its own workspace, conversation history, and isolated context.
- 📬 **Message Queueing** - Queue messages while AI is busy; they're sent automatically when the agent becomes ready. Never lose a thought.
- 🛡️ **Agent Resilience** - Providers fail; your turn does not have to. When a turn dies on 529 Overloaded or a spent plan quota, Maestro resends the exact prompt on its own, backing off in seconds for a blip or waiting for the real reset time it reads out of the error. One live status card replaces the wall of error dialogs, Auto Run batches resume themselves, and an agent can optionally fail over to a backup endpoint instead of waiting out the window.
来源
github · https://github.com/RunMaestro/Maestro
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