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Works anywhere, with any LLM API.","maintainers":[{"name":"make-u-free","email":"takahashi@make-u-free.com"}],"readme":"# Migi（ミギ）\n\n> あなたの右腕として動く AI エージェント CLI\n> Powered by OpenAI API — by MAKE U FREE\n\n---\n\n## 全体アーキテクチャ\n\n```mermaid\ngraph TD\n  subgraph bin\n    B[migi.js エントリーポイント]\n  end\n\n  subgraph src\n    S[setup.js セットアップ]\n    O[onboarding.js ワークスペース初期化]\n    C[context.js コンテキスト読み込み]\n    SK[skills.js スキルルーティング]\n    A[agent.js 会話ループ]\n    T[tools.js ファイル操作・コマンド実行]\n    P[permissions.js 許可制]\n  end\n\n  subgraph fs\n    CFG[config.json APIキー・名前・モデル]\n    MEM[memory.md グローバルメモリ]\n    MIGIMD[MIGI.md ワークスペース設定]\n    SKILLS[skills/ スキルファイル]\n    TPL[templates/ 初期化テンプレート]\n  end\n\n  OAI[OpenAI API]\n\n  B --> S\n  B --> O\n  B --> C\n  B --> SK\n  B --> A\n  S --> CFG\n  O --> TPL\n  O --> MIGIMD\n  C --> MEM\n  C --> MIGIMD\n  SK --> SKILLS\n  A --> OAI\n  A --> T\n  A --> P\n```\n\n---\n\n## 起動フロー\n\n```mermaid\ngraph TD\n  Start([migi 起動]) --> CheckCfg{config.json があるか}\n\n  CheckCfg -->|なし| InputKey[APIキー入力]\n  InputKey --> SelectModel[モデル選択]\n  SelectModel --> InputName[名前入力]\n  InputName --> AIName[AIが名前を解釈]\n  AIName --> SaveCfg[config.json に保存]\n  SaveCfg --> CheckWS\n\n  CheckCfg -->|あり| LoadCfg[設定読み込み]\n  LoadCfg --> CheckWS\n\n  CheckWS{MIGI.md または .company があるか}\n  CheckWS -->|なし| Q1[Q1 事業・活動を教えて]\n  Q1 --> Q2[Q2 目標・困りごとを教えて]\n  Q2 --> GenFiles[.company/ を生成]\n  GenFiles --> LoadCtx\n\n  CheckWS -->|あり| LoadCtx[コンテキスト読み込み]\n  LoadCtx --> Ready([メインループ開始])\n```\n\n---\n\n## リクエスト処理フロー\n\n```mermaid\nsequenceDiagram\n  actor User\n  participant CLI as migi.js\n  participant Agent as agent.js\n  participant OpenAI\n  participant Tools as tools.js\n  participant FS as ファイルシステム\n\n  User->>CLI: テキスト入力\n\n  alt スキルコマンド\n    CLI->>CLI: スキルファイルを検索\n    CLI->>Agent: スキル内容＋入力を展開して送信\n  else 通常テキスト\n    CLI->>Agent: そのまま送信\n  end\n\n  Agent->>OpenAI: messages＋tool定義を送信\n\n  loop ツール呼び出しがある間\n    OpenAI-->>Agent: tool_calls レスポンス\n\n    alt 読み取り系 自動承認\n      Agent->>Tools: 即実行\n    else 書き込み・実行系 要確認\n      Agent->>User: 実行しますか y/N\n      User->>Agent: 承認 or 拒否\n      Agent->>Tools: 承認なら実行\n    end\n\n    Tools->>FS: ファイル操作 or コマンド実行\n    FS-->>Tools: 結果\n    Tools-->>Agent: 結果を返す\n    Agent->>OpenAI: tool results を送信\n  end\n\n  OpenAI-->>Agent: 最終回答\n  Agent-->>User: 返答を表示\n```\n\n---\n\n## コンテキスト読み込みの優先順位\n\n```mermaid\ngraph LR\n  A[memory.md グローバル] --> B[memory.md ワークスペース]\n  B --> C[MIGI.md ルート]\n  C --> D[.company/MIGI.md]\n  D -->|なければ| E[.company/CLAUDE.md]\n  D --> F[secretary/MIGI.md]\n  F --> G[その他部署/MIGI.md]\n```\n\n---\n\n## スキルシステム\n\n```mermaid\ngraph TD\n  Input[入力 /secretary など] --> Parse[コマンド名を抽出]\n  Parse --> Search1[.migi/skills/ を探す ユーザー定義]\n  Search1 -->|あり| Load[スキルファイルを読み込む]\n  Search1 -->|なし| Search2[skills/ を探す ビルトイン]\n  Search2 -->|あり| Load\n  Search2 -->|なし| NotFound[スキルが見つかりません]\n  Load --> Expand[スキル内容＋引数を展開]\n  Expand --> Agent[エージェントに送信]\n```\n\n---\n\n## ファイル構成\n\n```\nmigi/\n├── bin/\n│   └── migi.js           # エントリーポイント・メインループ\n├── src/\n│   ├── agent.js          # OpenAI 会話ループ・ツール呼び出し制御\n│   ├── context.js        # MIGI.md / memory.md の読み込み\n│   ├── onboarding.js     # 空ワークスペースの初期化ウィザード\n│   ├── permissions.js    # 書き込み・実行の許可制\n│   ├── setup.js          # APIキー・モデル・名前のセットアップ\n│   ├── skills.js         # /コマンドのスキルルーティング\n│   └── tools.js          # ファイル操作・コマンド実行ツール\n├── skills/\n│   └── secretary.md      # ビルトインスキル（秘書モード）\n├── templates/\n│   ├── company-migi.md   # .company/MIGI.md のテンプレート\n│   └── secretary-migi.md # secretary/MIGI.md のテンプレート\n└── package.json\n\n# ユーザーのワークスペース\n{cwd}/\n├── MIGI.md               # ワークスペース設定（なければ CLAUDE.md）\n├── todos/\n│   └── YYYY-MM-DD.md\n└── .company/\n    ├── MIGI.md\n    └── secretary/\n        ├── MIGI.md\n        ├── inbox/\n        └── notes/\n\n# グローバル設定\n~/.migi/\n├── config.json           # APIキー・モデル・名前\n└── memory.md             # 全ワークスペース共通メモリ\n```\n\n---\n\n## セットアップ\n\n```bash\ngit clone https://github.com/kazuhiro-yourself/migi.git\ncd migi\nnpm install\n\n# 作業ディレクトリで起動（初回は自動セットアップ）\ncd ~/your-workspace\nnode /path/to/migi/bin/migi.js\n```\n\n## 使い方\n\n```\n> 今日のTODO見せて     # 普通に話しかけるだけ\n> /secretary           # 秘書モードを明示的に起動\n> /config              # 設定変更\n> /exit                # 終了\n```\n\n---\n\n## 企業ネットワーク（Zscaler等）対応\n\nZscalerなどSSLインスペクションを行う企業プロキシ環境では、CA証明書を追加することで安全に通信できます。\n\n### 手順\n\n**1. ZscalerのCA証明書を取得する**\n\nブラウザ（Chrome）の場合:\n1. `chrome://settings/security` → 証明書の管理 → 認証局\n2. Zscaler Root CA を選択してエクスポート（PEM形式）\n\nまたは社内IT部門から `ZscalerRootCertificate.crt` を入手する。\n\n**2. `~/.migi/` に配置する**\n\n```bash\n# Windows（PowerShell）\nmkdir $env:USERPROFILE\\.migi\ncopy ZscalerRootCertificate.crt $env:USERPROFILE\\.migi\\zscaler-ca.crt\n\n# Mac / Linux\nmkdir -p ~/.migi\ncp ZscalerRootCertificate.crt ~/.migi/zscaler-ca.pem\n```\n\n**3. そのまま起動する**\n\nmigi は起動時に以下の順で CA ファイルを自動検出します:\n\n```\n~/.migi/zscaler-ca.pem   ← 推奨\n~/.migi/zscaler-ca.crt\n~/.migi/ca-bundle.pem    ← 複数CA連結バンドルも可\n```\n\n見つかった場合は自動的に TLS に組み込まれます。手動での設定は不要です。\n\n**環境変数で直接指定することも可能:**\n\n```bash\nset NODE_EXTRA_CA_CERTS=C:\\path\\to\\your-ca.pem   # Windows\nexport NODE_EXTRA_CA_CERTS=~/certs/your-ca.pem   # Mac/Linux\n```\n","readmeFilename":"README.md"}