RunMaestro/Maestro: README-based editorial guide

RunMaestro/Maestro describes itself in the README as "Agent Orchestration Command Center". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "Maestro", the README says: > Maestro hones fractured attention into focused intent.. That establishes the project's stated boundary, not a production test.

The README's "Power Features" section gives a useful starting point for deciding whether the project fits: 🤖 Auto Run & Playbooks - File-system-based task runner that batch-processes markdown checklists through AI agents. Create playbooks for repeatable workflows, run in loops, and track progress with full history.. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: 🌳 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.. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "Maestro". The source evidence includes: Collaborate with AI to create detailed specification documents, then let Auto Run execute them automatically, each task in a fresh session with clean context.. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: git clone https://github.com/RunMaestro/Maestro.git cd Maestro npm install npm run dev When the README contains no runnable command, this article does not invent one. Open its "Features" section and confirm system dependencies, default ports, and first-run initialization before using a public server.