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110 lines
5.2 KiB
Markdown
110 lines
5.2 KiB
Markdown
<div align="center">
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<img src="./public/images/chatlab.svg" alt="ChatLab" title="ChatLab" width="300" />
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Rediscover your social memories with private, AI-powered analysis.
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English | [简体中文](./README.zh-CN.md) | [繁體中文](./README.zh-TW.md) | [日本語](./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/hellodigua/ChatLab/issues)
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</div>
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ChatLab is an open-source desktop app for understanding your social conversations. It combines a flexible SQL engine with AI agents so you can explore patterns, ask better questions, and extract insights from chat data, all on your own machine.
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Currently supported: **WhatsApp, LINE, WeChat, QQ, Discord, Instagram, and Telegram**. Coming next: **iMessage, Messenger, and KakaoTalk**.
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## Core Features
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- 🚀 **Built for large histories**: Stream parsing and multi-worker processing keep imports and analysis responsive, even at million-message scale.
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- 🔒 **Private by default**: Your chat data and settings stay local. No mandatory cloud upload of raw conversations.
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- 🤖 **AI that can actually operate on data**: Agent + Function Calling workflows can search, summarize, and analyze chat records with context.
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- 📊 **Insight-rich visual views**: See trends, time patterns, interaction frequency, rankings, and more in one place.
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- 🧩 **Cross-platform normalization**: Different export formats are mapped into a unified model so you can analyze them consistently.
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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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## Preview
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For more previews, please visit the official website: [chatlab.fun](https://chatlab.fun/)
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## System Architecture
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### Architecture Principles
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- **Local-first by default**: Raw chat data, indexes, and settings remain on-device unless you explicitly choose otherwise.
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- **Streaming over buffering**: Stream-first parsing and incremental processing keep large imports stable and memory-efficient.
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- **Composable intelligence**: AI features are assembled through Agent + Tool Calling, not hard-coded into one model path.
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- **Schema-first evolution**: Import, query, analysis, and visualization share a consistent data model that scales with new features.
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### Runtime Architecture
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- **Main Process (control plane)**: `electron/main/index.ts` handles lifecycle and windows. `electron/main/ipc/` defines domain-scoped IPC, while `electron/main/ai/` and `electron/main/i18n/` provide shared AI and localization services.
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- **Worker Layer (compute plane)**: `electron/main/worker/` runs import, indexing, and query tasks via `workerManager`, keeping CPU-heavy work off the UI thread.
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- **Renderer Layer (interaction plane)**: Vue 3 + Nuxt UI + Tailwind CSS drive management, private chat, group chat, and analysis interfaces. `electron/preload/index.ts` exposes tightly scoped APIs for secure process boundaries.
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### Data Pipeline
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1. **Ingestion**: `parser/` detects file format and dispatches to the matching parser module.
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2. **Persistence**: Stream-based writes populate core local entities: sessions, members, and messages.
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3. **Indexing**: Session- and time-oriented indexes are built for timeline navigation and retrieval.
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4. **Query & Analysis**: `worker/query/*` powers activity metrics, interaction analysis, SQL Lab, and AI-assisted exploration.
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5. **Presentation**: The renderer turns query output into charts, rankings, timelines, and conversational analysis flows.
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### Extensibility & Reliability
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- **Pluggable parser architecture**: Adding a new import source is mostly an extension in `parser/formats/*`, without reworking downstream query logic.
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- **Full + incremental import paths**: `streamImport.ts` and `incrementalImport.ts` support both first-time onboarding and ongoing updates.
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- **Modular IPC boundaries**: Domain-based IPC segmentation reduces cross-layer coupling and limits permission spread.
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- **Unified i18n evolution**: Main and renderer processes share an i18n system that can evolve with product scope.
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---
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## Local Development
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### Requirements
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- Node.js >= 20
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- pnpm
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### Setup
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```bash
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# install dependencies
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pnpm install
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# run electron app in dev mode
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pnpm dev
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```
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If Electron encounters exceptions during startup, you can try using `electron-fix`:
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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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## Contributing
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Please follow these principles before submitting a Pull Request:
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- Obvious bug fixes can be submitted directly.
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- For new features, please submit an Issue for discussion first; **PRs submitted without prior discussion will be closed**.
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- Keep one PR focused on one task; if changes are extensive, consider splitting them into multiple independent PRs.
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## Privacy Policy & User Agreement
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Before using this software, please read the [Privacy Policy & User Agreement](./src/assets/docs/agreement_en.md).
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## License
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AGPL-3.0 License
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