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<div align="center">
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<picture>
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<source media="(prefers-color-scheme: light)" srcset="https://github.com/ChatLab/ChatLab/raw/main/public/images/banner-light.png">
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<img src="https://github.com/ChatLab/ChatLab/raw/main/public/images/banner.png" alt="ChatLab" title="ChatLab" width="500" />
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</picture>
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<img src="./public/images/chatlab.svg" alt="ChatLab" title="ChatLab" width="300" />
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Your chat history, finally yours.
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Rediscover your social memories with private, AI-powered analysis.
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English | [简体中文](./docs/README.zh-CN.md)
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English | [简体中文](./docs/README.zh-CN.md) | [繁體中文](./docs/README.zh-TW.md) | [日本語](./docs/README.ja-JP.md)
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[Official Website](https://chatlab.fun/) · [Download](https://chatlab.fun/?type=download) · [Documentation](https://chatlab.fun/usage/) · [Roadmap](https://chatlabfun.featurebase.app/roadmap) · [Issue Submission](https://github.com/ChatLab/ChatLab/issues)
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[Official Website](https://chatlab.fun/) · [Documentation](https://chatlab.fun/usage/) · [Roadmap](https://chatlab.fun/cn/roadmap/tasks)
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</div>
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@@ -25,9 +27,9 @@ Currently supported: **WhatsApp, LINE, WeChat, QQ, Discord, Instagram, and Teleg
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## Usage Guides
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- [Download Guide](https://chatlab.fun/?type=download)
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- [Chat Record Export Guide](https://chatlab.fun/usage/how-to-export.html)
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- [Standardized Format Specification](https://chatlab.fun/standard/chatlab-format.html)
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- [Troubleshooting Guide](https://chatlab.fun/usage/troubleshooting.html)
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- [Chat Record Export Guide](https://chatlab.fun/usage/how-to-export)
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- [Standardized Format Specification](https://chatlab.fun/standard/chatlab-format)
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- [Troubleshooting Guide](https://chatlab.fun/usage/troubleshooting)
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## Preview
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@@ -1,105 +0,0 @@
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<div align="center">
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<img src="../public/images/chatlab.svg" alt="ChatLab" title="ChatLab" width="300" />
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AI Agent でチャット履歴をローカル分析し、あなたのソーシャルな記憶を掘り起こす
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[English](../README.md) | [简体中文](./README.zh-CN.md) | [繁體中文](./README.zh-TW.md) | 日本語
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[公式サイト](https://chatlab.fun/) · [ダウンロードガイド](https://chatlab.fun/?type=download) · [ドキュメント](https://chatlab.fun/usage/) · [Roadmap](https://chatlabfun.featurebase.app/roadmap) · [Issue](https://github.com/ChatLab/ChatLab/issues)
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</div>
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ChatLab は、チャット履歴を深く理解するためのローカル完結型アプリです。AI Agent と柔軟な SQL エンジンを組み合わせることで、会話データを自由に調べ、分解し、新しい視点で読み解けます。
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現在対応：WhatsApp、LINE、QQ、Discord、Instagram、Telegram。今後対応予定：iMessage、Messenger、KakaoTalk。
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## 主な機能
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- 🚀 **大規模データでも快適**：ストリーミング処理とマルチワーカー構成により、数百万件規模の履歴でも安定して取り込みと分析を行えます。
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- 🔒 **プライバシーを優先**：チャット履歴と設定はローカルに保持され、分析も基本的に端末上で完結します（AI 機能を除く）。
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- 🤖 **実データを扱える AI Agent**：10 以上の Function Calling ツールを備え、文脈に応じて動的に呼び分けながら履歴を掘り下げます。
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- 📊 **多面的な可視化**：アクティブ度の推移、時間帯の傾向、メンバーランキングなどを分かりやすく確認できます。
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- 🧩 **形式差分を吸収する標準化**：異なるチャットアプリのエクスポート形式を統一モデルに変換し、同じ視点で比較・分析できます。
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|
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## ガイド
|
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|
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- [ChatLab ダウンロードガイド](https://chatlab.fun/?type=download)
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- [チャット履歴の書き出しガイド](https://chatlab.fun/usage/how-to-export.html)
|
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- [標準フォーマット仕様](https://chatlab.fun/standard/chatlab-format.html)
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- [トラブルシューティング](https://chatlab.fun/usage/troubleshooting.html)
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|
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## プレビュー
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その他の画面は公式サイト [chatlab.fun](https://chatlab.fun/) を参照してください。
|
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|
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|
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|
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## システムアーキテクチャ
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|
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### 設計原則（Architecture Principles）
|
||||
|
||||
- **Local-first by default**：生のチャット履歴、インデックス、設定は原則として端末内に保持し、プライバシー境界を優先します。
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- **Streaming over buffering**：ストリーミング解析と増分処理を中心に据え、大きなエクスポートでも安定した処理性能を保ちます。
|
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- **Composable intelligence**：AI 機能は Agent + Tool Calling の組み合わせで構成し、単一モデルの固定ロジックに閉じません。
|
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- **Schema-first evolution**：統一データモデルを軸に取り込み、検索、分析、可視化を設計し、将来の拡張を進めやすくします。
|
||||
|
||||
### 実行時アーキテクチャ（Runtime Architecture）
|
||||
|
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- **Main Process（制御層）**：`electron/main/index.ts` がライフサイクルとウィンドウを管理し、`electron/main/ipc/` がドメイン別 IPC を提供します。`electron/main/ai/` と `electron/main/i18n/` は AI と多言語化の基盤です。
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- **Worker Layer（計算層）**：`electron/main/worker/` が `workerManager` を通じて取り込み、索引作成、検索処理を分離し、UI スレッドの負荷を抑えます。
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- **Renderer Layer（表示・操作層）**：Vue 3 + Nuxt UI + Tailwind CSS を基盤に、管理画面、個別チャット、グループチャット、分析画面を構成します。`electron/preload/index.ts` から限定的な API を公開し、安全な境界を保ちます。
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|
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### データパイプライン（Data Pipeline）
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1. **取り込み**：`parser/` が形式を判定し、対応するパーサーに処理を振り分けます。
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2. **保存**：ストリーミング書き込みで、セッション、メンバー、メッセージなどの主要データをローカルに保存します。
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3. **索引作成**：セッション軸と時間軸の索引を生成し、タイムライン表示や検索を支えます。
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4. **検索と分析**：`worker/query/*` がアクティブ度分析、関係性分析、SQL Lab、AI 補助分析を支えます。
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5. **表示**：レンダラー側で結果をグラフ、ランキング、タイムライン、対話型分析に変換します。
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## ローカル開発
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### 必要環境
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|
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- Node.js >= 20
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- pnpm
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|
||||
### セットアップ
|
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|
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```bash
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# 依存関係をインストール
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pnpm install
|
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|
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# 開発モードで起動
|
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pnpm dev
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```
|
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|
||||
Electron の起動時に例外が発生する場合は、`electron-fix` を試してください。
|
||||
|
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```bash
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npm install electron-fix -g
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electron-fix start
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```
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## プライバシーポリシーと利用規約
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利用前に [プライバシーポリシーと利用規約](../src/assets/docs/agreement_ja.md) を確認してください。
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## コミュニティ
|
||||
|
||||
Pull Request を送る前に、次の方針を確認してください。
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||||
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||||
- 明らかなバグ修正はそのまま提出して構いません
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||||
- 新機能は先に Issue で相談してください。**事前の議論がない PR はクローズされます**
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||||
- 1 つの PR は 1 つの目的に絞り、変更が大きい場合は分割を検討してください
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|
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ChatLab に貢献してくださったすべての方に感謝します！
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<a href="https://github.com/ChatLab/ChatLab/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=ChatLab/ChatLab" />
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</a>
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|
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## License
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||||
|
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AGPL-3.0 License
|
||||
+10
-8
@@ -1,12 +1,14 @@
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<div align="center">
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<picture>
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<source media="(prefers-color-scheme: light)" srcset="https://github.com/ChatLab/ChatLab/raw/main/public/images/banner-light.png">
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<img src="https://github.com/ChatLab/ChatLab/raw/main/public/images/banner.png" alt="ChatLab" title="ChatLab" width="500" />
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</picture>
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||||
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<img src="../public/images/chatlab.svg" alt="ChatLab" title="ChatLab" width="300" />
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聊天记忆驱动的 AI Agent
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本地化的聊天记录分析工具，通过 AI Agent 回顾你的社交记忆
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[English](../README.md) | 简体中文
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[English](../README.md) | 简体中文 | [繁體中文](./README.zh-TW.md) | [日本語](./README.ja-JP.md)
|
||||
|
||||
[官网](https://chatlab.fun/cn/) · [下载指南](https://chatlab.fun/cn/?type=download) · [项目文档](https://chatlab.fun/cn/usage/) · [路线图](https://chatlabfun.featurebase.app/roadmap) · [问题提交](https://github.com/ChatLab/ChatLab/issues)
|
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[官网](https://chatlab.fun/cn/) · [项目文档](https://chatlab.fun/cn/usage/) · [路线图](https://chatlab.fun/cn/roadmap/tasks)
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</div>
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@@ -25,9 +27,9 @@ ChatLab 是一个专注于社交记录分析的本地化应用。通过 AI Agent
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## 使用指南
|
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|
||||
- [下载 ChatLab 指南](https://chatlab.fun/cn/?type=download)
|
||||
- [导出聊天记录指南](https://chatlab.fun/cn/usage/how-to-export.html)
|
||||
- [标准化格式规范](https://chatlab.fun/cn/standard/chatlab-format.html)
|
||||
- [故障排查指南](https://chatlab.fun/cn/usage/troubleshooting.html)
|
||||
- [导出聊天记录指南](https://chatlab.fun/cn/usage/how-to-export)
|
||||
- [标准化格式规范](https://chatlab.fun/cn/standard/chatlab-format)
|
||||
- [故障排查指南](https://chatlab.fun/cn/usage/troubleshooting)
|
||||
|
||||
## 预览界面
|
||||
|
||||
|
||||
@@ -1,105 +0,0 @@
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<div align="center">
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|
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<img src="../public/images/chatlab.svg" alt="ChatLab" title="ChatLab" width="300" />
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|
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在本機分析聊天記錄，透過 AI Agent 重新看見你的社交記憶
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|
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[English](../README.md) | [简体中文](./README.zh-CN.md) | 繁體中文 | [日本語](./README.ja-JP.md)
|
||||
|
||||
[官網](https://chatlab.fun/cn/) · [下載指南](https://chatlab.fun/cn/?type=download) · [使用文件](https://chatlab.fun/cn/usage/) · [Roadmap](https://chatlabfun.featurebase.app/roadmap) · [問題回報](https://github.com/ChatLab/ChatLab/issues)
|
||||
|
||||
</div>
|
||||
|
||||
ChatLab 是一款專注於社交記錄分析的本機應用。結合 AI Agent 與靈活的 SQL 引擎，你可以更自由地拆解、查詢，甚至重新理解自己的聊天資料。
|
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|
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目前已支援：WhatsApp、LINE、QQ、Discord、Instagram、Telegram 的聊天記錄分析；即將支援：iMessage、Messenger、KakaoTalk。
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|
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## 核心特色
|
||||
|
||||
- 🚀 **高效處理大型資料**：採用串流計算與多執行緒架構，就算是百萬筆聊天記錄，依然能保持流暢的匯入與分析體驗。
|
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- 🔒 **預設重視隱私**：聊天記錄與設定都保留在本機，分析流程也以本地執行為主（AI 功能除外）。
|
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- 🤖 **可實際操作資料的 AI Agent**：內建 10+ 個 Function Calling 工具，可依任務動態調度，深入挖掘聊天脈絡與重點。
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||||
- 📊 **多維度視覺化分析**：提供活躍度趨勢、時段分布、成員排行等多種圖表與分析視角。
|
||||
- 🧩 **統一資料格式**：透過穩定的資料抽象層，抹平不同聊天平台的匯出差異，分析流程更一致。
|
||||
|
||||
## 使用指南
|
||||
|
||||
- [下載 ChatLab 指南](https://chatlab.fun/cn/?type=download)
|
||||
- [匯出聊天記錄指南](https://chatlab.fun/cn/usage/how-to-export.html)
|
||||
- [標準化格式規範](https://chatlab.fun/cn/standard/chatlab-format.html)
|
||||
- [疑難排解指南](https://chatlab.fun/cn/usage/troubleshooting.html)
|
||||
|
||||
## 預覽畫面
|
||||
|
||||
更多畫面請前往官網 [chatlab.fun](https://chatlab.fun/cn/)
|
||||
|
||||
|
||||
|
||||
## 系統架構
|
||||
|
||||
### 架構原則（Architecture Principles）
|
||||
|
||||
- **Local-first by default**：原始聊天記錄、索引與設定預設留在本機，優先守住隱私邊界。
|
||||
- **Streaming over buffering**：以串流解析與增量處理為核心，在大型匯出檔案下依然維持穩定吞吐。
|
||||
- **Composable intelligence**：AI 能力透過 Agent + Tool Calling 組合，不把業務邏輯硬寫死在單一路徑。
|
||||
- **Schema-first evolution**：圍繞統一資料模型設計匯入、查詢、分析與視覺化，降低後續演進成本。
|
||||
|
||||
### 執行期架構（Runtime Architecture）
|
||||
|
||||
- **Main Process（控制層）**：`electron/main/index.ts` 負責生命週期與視窗；`electron/main/ipc/` 提供分域 IPC；`electron/main/ai/` 與 `electron/main/i18n/` 提供 AI 與國際化基礎能力。
|
||||
- **Worker Layer（計算層）**：`electron/main/worker/` 透過 `workerManager` 調度任務，隔離匯入、索引與查詢等高負載工作，降低 UI 阻塞風險。
|
||||
- **Renderer Layer（互動層）**：基於 Vue 3 + Nuxt UI + Tailwind CSS，承載管理、私聊、群聊與分析視圖；透過 `electron/preload/index.ts` 暴露受控 API，確保渲染層與主進程隔離。
|
||||
|
||||
### 資料流程（Data Pipeline）
|
||||
|
||||
1. **匯入接入**：`parser/` 先偵測格式，再交由對應解析器執行標準化轉換。
|
||||
2. **資料落盤**：以串流方式寫入本機資料庫，建立會話、成員、訊息等核心實體。
|
||||
3. **索引建立**：依據會話與時間維度建立分析索引，支撐時間線與檢索能力。
|
||||
4. **查詢與分析**：`worker/query/*` 提供活躍度、互動關係、SQL Lab 與 AI 檢索等查詢能力。
|
||||
5. **結果呈現**：渲染層把查詢結果轉成圖表、排行、時間線與對話式分析體驗。
|
||||
|
||||
## 本機開發
|
||||
|
||||
### 環境需求
|
||||
|
||||
- Node.js >= 20
|
||||
- pnpm
|
||||
|
||||
### 啟動方式
|
||||
|
||||
```bash
|
||||
# 安裝依賴
|
||||
pnpm install
|
||||
|
||||
# 啟動開發模式
|
||||
pnpm dev
|
||||
```
|
||||
|
||||
若 Electron 啟動時發生異常，可嘗試使用 `electron-fix`：
|
||||
|
||||
```bash
|
||||
npm install electron-fix -g
|
||||
electron-fix start
|
||||
```
|
||||
|
||||
## 隱私權政策與使用者協議
|
||||
|
||||
使用本軟體前，請先閱讀 [隱私權政策與使用者協議](../src/assets/docs/agreement_zh_tw.md)
|
||||
|
||||
## 社群
|
||||
|
||||
提交 Pull Request 前請遵循以下原則：
|
||||
|
||||
- 明顯的 Bug 修復可直接提交
|
||||
- 新功能請先提交 Issue 討論，**未經討論直接提交的 PR 會被關閉**
|
||||
- 一個 PR 盡量只處理一件事；若改動較大，建議拆分成多個獨立 PR
|
||||
|
||||
感謝所有為 ChatLab 做出貢獻的人！
|
||||
|
||||
<a href="https://github.com/ChatLab/ChatLab/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=ChatLab/ChatLab" />
|
||||
</a>
|
||||
|
||||
## License
|
||||
|
||||
AGPL-3.0 License
|
||||
@@ -0,0 +1,68 @@
|
||||
---
|
||||
sidebar: false
|
||||
aside: false
|
||||
title: 项目路线 — ChatLab
|
||||
titleTemplate: false
|
||||
---
|
||||
|
||||
<RoadmapHero :title="'项目路线'" :subtitle="'ChatLab 未来的方向'" active="roadmap" compact />
|
||||
|
||||
> "你在聊天软件里说过的话，不应该消失在滚动条里。"
|
||||
|
||||
## **让每个人完整拥有自己的社交记忆**
|
||||
|
||||
聊天记录不应该被平台绑架、被设备丢失、被时间冲刷。
|
||||
|
||||
ChatLab 的使命是构建一个隐私优先、平台无关的聊天记忆分析基础设施，让用户对自己说过的每一句话拥有绝对的控制权。
|
||||
|
||||
## 现在能做什么
|
||||
|
||||
- 导入 WhatsApp、QQ、Telegram、Discord 等平台的聊天记录
|
||||
- 与你的聊天记录对话——用自然语言查询任何历史内容
|
||||
- 可视化洞察：关系分析、成员活跃度、时段分布、话题追踪、语言偏好等
|
||||
- 完全离线，数据不离开你的设备
|
||||
|
||||
## 接下来的目标
|
||||
|
||||
### 更多平台：更完整的社交记忆
|
||||
|
||||
你的社交记忆分散在无数个 App 的聊天、私信、帖子、留言里。我们正在为更多平台构建适配器——目标是让你第一次看到跨越所有平台、完整连贯的自己。
|
||||
|
||||
### AI智能体：真正理解你的对话
|
||||
|
||||
现在的 AI 能回答"Ta说过什么"。接下来我们要做的是：
|
||||
|
||||
- 人脉网络：自动构建你的人脉网络，你和谁关系最近？你有几个圈子？谁是群里真正的核心？
|
||||
- 记忆节点：自动找到对话里的重要决定、情感转折、里程碑事件
|
||||
- 情感轨迹：一段关系随时间的温度变化，可视化呈现
|
||||
- 跨平台身份合并：微信里的Ta、QQ 里的 @Ta、还有抖音里的 @Ta，其实是同一个人
|
||||
|
||||
### 开放标准：让聊天记录真正互通
|
||||
|
||||
今天的聊天数据是一座座孤岛，每个工具导出的东西都不一样，互不兼容。
|
||||
|
||||
ChatLab 希望推动建立一套聊天记录领域的开放标准，覆盖多个层面：
|
||||
|
||||
- 通用记录格式 — 无论数据来自哪个平台，都能转换为统一结构，不丢失任何信息
|
||||
- 通用导入规范 — 任何工具、任何平台，只要遵循这套规范，都能一键导入
|
||||
- 通用分析格式 — 关系图谱、情感分析、话题摘要……所有分析结果都有标准化的数据结构，可以被任何外部工具直接消费
|
||||
|
||||
我们希望这套标准成为聊天数据领域的通用语言——开放、免费、互联，任何开发者都可以复用。
|
||||
|
||||
### CLI 引擎：成为 AI 时代的社交记忆基础组件
|
||||
|
||||
你的聊天记录里藏着最真实的你——你的关系网络、决策习惯、情感轨迹。
|
||||
|
||||
而未来的 AI 助手，需要了解你才能真正帮助你。
|
||||
|
||||
ChatLab CLI 的目标是成为这一层社交记忆的标准接口。
|
||||
|
||||
当 Claude、OpenClaw、Hermes等各类 Agent 需要回答"我和这个人是什么关系"、"我们之前讨论过这个话题吗"、"帮我整理和张三的所有重要对话"——它们可以直接调用 ChatLab，获取结构化的、私密的、完全在本地的记忆数据。
|
||||
|
||||
## 终点在哪
|
||||
|
||||
我们希望 ChatLab 能成为聊天数据分析的基础设施。
|
||||
|
||||
任何平台的聊天记录进得来，任何分析需求接得住，任何用户用得上。
|
||||
|
||||
终有一天，你的社交记忆会成为你最了解自己的方式。
|
||||
@@ -0,0 +1,8 @@
|
||||
---
|
||||
layout: page
|
||||
sidebar: false
|
||||
title: 开发进展 — ChatLab
|
||||
titleTemplate: false
|
||||
---
|
||||
|
||||
<TasksPage />
|
||||
@@ -0,0 +1,68 @@
|
||||
---
|
||||
sidebar: false
|
||||
aside: false
|
||||
title: Roadmap — ChatLab
|
||||
titleTemplate: false
|
||||
---
|
||||
|
||||
<RoadmapHero :title="'Roadmap'" :subtitle="'Where ChatLab is headed.'" active="roadmap" compact />
|
||||
|
||||
> "What you said in your chat apps shouldn't disappear in the scroll."
|
||||
|
||||
## **Let Everyone Fully Own Their Social Memory**
|
||||
|
||||
Your chat history shouldn't be held hostage by platforms, lost to broken devices, or washed away by time.
|
||||
|
||||
ChatLab's mission is to build a privacy-first, platform-agnostic chat memory analysis infrastructure — giving users absolute control over every word they've ever said.
|
||||
|
||||
## What It Can Do Now
|
||||
|
||||
- Import chat history from WhatsApp, Telegram, Discord, iMessage, and more
|
||||
- Talk to your chats — query any historical content in natural language
|
||||
- Visual insights: relationship analysis, member activity, time distribution, topic tracking, and more
|
||||
- Fully offline — your data never leaves your device
|
||||
|
||||
## What's Next
|
||||
|
||||
### More Platforms: A More Complete Social Memory
|
||||
|
||||
Your social memory is scattered across countless apps — chats, DMs, posts, comments. We're building adapters to cover more platforms, so that for the first time, you can see a complete and coherent picture of yourself across every single one of them.
|
||||
|
||||
### AI Agents: Conversations That Truly Understand You
|
||||
|
||||
Today's AI can answer "What did they say?" Next, we're building:
|
||||
|
||||
- Relationship network: Automatically build your relationship network. Who's closest to you? How many circles do you run in? Who's the real leader of the group?
|
||||
- Memory nodes: Automatically find important decisions, emotional turning points, and milestone events in conversations
|
||||
- Emotional trajectories: How the warmth of a relationship changes over time, visualized
|
||||
- Cross-platform identity merging: The Alex on WeChat, @alex on QQ, and @alex on Douyin — they're actually the same person
|
||||
|
||||
### Open Standards: Making Chat Data Truly Interoperable
|
||||
|
||||
Today's chat data is a collection of islands — every tool exports differently, nothing is compatible.
|
||||
|
||||
ChatLab aims to drive the creation of an open standard for chat data, covering multiple layers:
|
||||
|
||||
- Universal record format — no matter which platform the data comes from, it can be converted to a unified structure without losing any information
|
||||
- Universal import spec — any tool, any platform, following this spec, can import in one click
|
||||
- Universal analysis format — relationship graphs, sentiment analysis, topic summaries... all analysis results have standardized data structures that any external tool can consume directly
|
||||
|
||||
We want this standard to become the common language of chat data — open, free, and interconnected — any developer can reuse it.
|
||||
|
||||
### CLI Engine: The Social Memory Primitive for the AI Era
|
||||
|
||||
Your chat history holds the most authentic version of you — your relationship network, decision patterns, emotional trajectory.
|
||||
|
||||
And the AI assistants of the future need to understand you to truly help you.
|
||||
|
||||
ChatLab CLI aims to become the standard interface for this social memory layer.
|
||||
|
||||
When Claude, OpenClaw, Hermes and other agents need to answer "What's my relationship with this person?", "Have we discussed this topic before?", or "Help me organize all important conversations with Alex" — they can call ChatLab directly to get structured, private, fully local memory data.
|
||||
|
||||
## Where Does This End?
|
||||
|
||||
We want ChatLab to become the infrastructure for chat data analysis.
|
||||
|
||||
Chat records from any platform come in, any analysis need is met, any user can use it.
|
||||
|
||||
Someday, your social memory will become the way you understand yourself best.
|
||||
@@ -0,0 +1,8 @@
|
||||
---
|
||||
layout: page
|
||||
sidebar: false
|
||||
title: Progress — ChatLab
|
||||
titleTemplate: false
|
||||
---
|
||||
|
||||
<TasksPage />
|
||||
@@ -6,7 +6,7 @@ outline: deep
|
||||
|
||||
ChatLab 專注於對已匯出數據的分析，我們不提供抓取數據的功能。您需要先使用官方功能或開源社群的第三方工具，將聊天記錄匯出後，再匯入 ChatLab 進行分析。
|
||||
|
||||
Tips：歡迎訪問 [加入社群](/cn/other/community.html)，討論問題以及溝通需求。
|
||||
Tips：歡迎訪問 [加入社群](/cn/other/community)，討論問題以及溝通需求。
|
||||
|
||||
## WhatsApp
|
||||
|
||||
@@ -66,9 +66,9 @@ Tips：歡迎訪問 [加入社群](/cn/other/community.html)，討論問題以
|
||||
|
||||
ChatLab 的功能是 **對已匯出的固定文本格式的聊天記錄進行分析**，但前提是**您已經透過合法合規的管道匯出了聊天記錄**。
|
||||
|
||||
如果您有一定的技術基礎，可以嘗試使用 **AI 輔助轉換** 的方式，將您的數據轉換為標準格式。詳情請查看 [AI 輔助轉換指南](/cn/standard/ai-converter.html)。
|
||||
如果您有一定的技術基礎，可以嘗試使用 **AI 輔助轉換** 的方式，將您的數據轉換為標準格式。詳情請查看 [AI 輔助轉換指南](/cn/standard/ai-converter)。
|
||||
|
||||
此外，如果您是開發者，並已支援了其他聊天應用的聊天記錄匯出，歡迎[相容 ChatLab 格式](/cn/standard/chatlab-format.html)，我會將您的 Github 連結加到這裡。
|
||||
此外，如果您是開發者，並已支援了其他聊天應用的聊天記錄匯出，歡迎[相容 ChatLab 格式](/cn/standard/chatlab-format)，我會將您的 Github 連結加到這裡。
|
||||
|
||||
## ⚠️ 法律與安全聲明
|
||||
|
||||
|
||||
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||||
</svg>
|
||||
|
Before Width: | Height: | Size: 11 KiB |
@@ -81,7 +81,7 @@ const apiBaseUrl = computed(() => {
|
||||
|
||||
const apiDocUrl = computed(() => {
|
||||
const isChinese = locale.value === 'zh-CN' || locale.value === 'zh-TW'
|
||||
return isChinese ? 'https://chatlab.fun/cn/standard/chatlab-api.html' : 'https://chatlab.fun/en/chatlab-api.html'
|
||||
return isChinese ? 'https://chatlab.fun/cn/standard/chatlab-api' : 'https://chatlab.fun/en/chatlab-api'
|
||||
})
|
||||
|
||||
async function toggleEnabled() {
|
||||
|
||||
@@ -49,7 +49,6 @@
|
||||
"operationFailed": "操作失败",
|
||||
"allConversations": "全部对话",
|
||||
"copyCell": "复制选中项",
|
||||
"editRow": "编辑",
|
||||
"copyRow": "复制整行 (JSON)",
|
||||
"clearDebugContext": "清除 Debug 上下文",
|
||||
"confirmClearDebug": "确认清除所有消息的 debug_context 数据？此操作不可撤销。"
|
||||
@@ -57,7 +56,7 @@
|
||||
},
|
||||
"memory": {
|
||||
"comingSoon": "正在计划中，如果你对记忆功能有什么建议，欢迎加群讨论。",
|
||||
"joinLink": "https://chatlab.fun/cn/other/community.html"
|
||||
"joinLink": "https://chatlab.fun/cn/other/community"
|
||||
},
|
||||
"yearFilter": {
|
||||
"allTime": "全部时间",
|
||||
|
||||
@@ -385,7 +385,7 @@ const tutorialUrl = computed(() => {
|
||||
const { locale } = useI18n()
|
||||
const localePath = getChatlabSiteLocalePath(locale.value)
|
||||
const langPath = localePath ? `/${localePath}` : ''
|
||||
return `https://chatlab.fun${langPath}/usage/how-to-export.html?utm_source=app`
|
||||
return `https://chatlab.fun${langPath}/usage/how-to-export?utm_source=app`
|
||||
})
|
||||
|
||||
// 打开最新的导入日志文件
|
||||
|
||||
Reference in new issue
Block a user