23blocks-OS/ai-maestro：README 來源編輯指南

23blocks-OS/ai-maestro 的 README 將專案描述為「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」。本文只整理倉庫可直接核對的內容，不把 star、Fork 或宣傳語當成品質證明。README 在「AI Maestro」下寫到：I was running 35 AI agents across multiple terminals and became the human mailman between them. So I built AI Maestro.。這說明的是專案邊界，不是已完成的生產驗證。

從 README 的「The Story」與相關條目，可以先判斷它是否處理你的實際問題：Multi-machine from day one , Peer mesh network with no central server. Nobody else does this.。若需求不同，不應只因專案熱度就採用。本文保留原始專案名、命令與元件名，方便回到一手來源核對。 README 另外列出一項可核對的資訊：Works with any AI agent , Claude Code, Codex, Aider, Cursor, OpenClaw, Hermes, Droid, or any terminal-based agent. We don't lock you in.。這類原文條目可用來設計試跑步驟，但不能取代實際環境測試。

README 將運作方式分散在「The Story」等段落。可確認的線索包括：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.。本文不把未寫出的架構、效能或安全邊界補成結論；真正的執行鏈仍要配合目錄、設定檔與版本標籤檢查。

第一次安裝應從 README 指出的入口開始。目前可核對的命令是： curl -fsSL https://raw.githubusercontent.com/23blocks-OS/ai-maestro/main/scripts/remote-install.sh | sh 如果倉庫沒有命令，本文不會自行編造步驟，而是建議先閱讀「The Story」，確認系統依賴、預設埠與首次初始化。

日常使用取決於專案文件。README 的「The Story」段落提到：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.。設定檔、環境變數、權限與資料目錄只在來源明確時才會記錄；沒有寫出的預設值，應在測試環境驗證並保留回滾副本。 同一部分也提到：Agents that communicate , The Agent Messaging Protocol (AMP) lets agents coordinate directly. You orchestrate, they collaborate.。