https://github.com/chatlab/chatlab
Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具
https://github.com/chatlab/chatlab
ai-agent ai-agents chat-analyzer chat-history data-analysis data-visualization
Last synced: 2 days ago
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Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具
- Host: GitHub
- URL: https://github.com/chatlab/chatlab
- Owner: ChatLab
- License: agpl-3.0
- Created: 2025-11-26T05:54:26.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2026-06-14T15:59:55.000Z (3 days ago)
- Last Synced: 2026-06-14T17:24:52.157Z (3 days ago)
- Topics: ai-agent, ai-agents, chat-analyzer, chat-history, data-analysis, data-visualization
- Language: TypeScript
- Homepage: https://chatlab.fun
- Size: 9.8 MB
- Stars: 6,688
- Watchers: 19
- Forks: 1,427
- Open Issues: 15
-
Metadata Files:
- Readme: README.md
- Changelog: changelogs/cn.json
- License: LICENSE
- Agents: AGENTS.md
Awesome Lists containing this project
README
Your chat history, finally yours.
English | [简体中文](./README.zh-CN.md)
[Official Website](https://chatlab.fun/) · [Docs](https://docs.chatlab.fun/) · [Quick Start](https://docs.chatlab.fun/usage/quick-start) · [Roadmap](https://chatlab.fun/roadmap/tasks) · [Releases](https://github.com/ChatLab/ChatLab/releases)
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.
Currently supported: **WhatsApp, LINE, WeChat, QQ, Discord, Instagram, and Telegram**. Coming next: **iMessage, Messenger, and KakaoTalk**.
> New install? Start here: [Getting started](https://docs.chatlab.fun/usage/quick-start)
## Core Features
- 🚀 **Built for large histories**: Stream parsing and multi-worker processing keep imports and analysis responsive, even at million-message scale.
- 🔒 **Private by default**: Your chat data and settings stay local. No mandatory cloud upload of raw conversations.
- 🤖 **AI that can actually operate on data**: Agent + Function Calling workflows (24+ tools) can search, summarize, and analyze chat records with context.
- 📊 **Insight-rich visual views**: See trends, time patterns, interaction frequency, rankings, and more in one place.
- 🧩 **Cross-platform normalization**: Different export formats are mapped into a unified model so you can analyze them consistently.
## Installation
### Desktop App
Download the installer for your OS from the [official website](https://chatlab.fun/?type=download) or [GitHub Releases](https://github.com/ChatLab/ChatLab/releases), then double-click to install.
### CLI
Requires Node.js ≥ 20.
```bash
npm i chatlab-cli -g
```
Start ChatLab:
```bash
chatlab start # Start API + Web UI, auto-open in browser
chatlab start --no-open # Start API + Web UI, skip auto-open
chatlab start --headless # API only, no Web UI (for scripts / AI Agents)
```
Common options: `--port ` (default 3110), `--host
`, `--token `.
To run as a persistent background service (auto-start on login + auto-restart on crash):
```bash
chatlab start --daemon # Install as system service (macOS / Linux)
chatlab status # Check service status
chatlab stop # Stop and uninstall service
```
For a full walkthrough, see the [Quick Start guide](https://docs.chatlab.fun/usage/quick-start).
## Usage Guides
- [Download Guide](https://chatlab.fun/?type=download)
- [Chat Record Export Guide](https://docs.chatlab.fun/usage/how-to-export)
- [Standardized Format Specification](https://docs.chatlab.fun/standard/chatlab-format)
- [Troubleshooting Guide](https://docs.chatlab.fun/usage/troubleshooting)
## Preview
For more previews, please visit the official website: [chatlab.fun](https://chatlab.fun/)
## Architecture Overview
ChatLab is a pnpm monorepo built on Electron + Vue 3 + Nuxt UI + Tailwind CSS. Core business logic lives in shared packages (`@openchatlab/core`, `@openchatlab/node-runtime`, `@openchatlab/tools`), consumed by both the desktop app and the CLI service — so they stay in sync.
Data flows in five stages: **format detection → stream parsing → local persistence → SQL + AI query → visualization**.
For a deep dive, see the [architecture documentation](https://docs.chatlab.fun/intro).
### Architecture Principles
- **Local-first by default**: Raw chat data, indexes, and settings remain on-device unless you explicitly choose otherwise.
- **Streaming over buffering**: Stream-first parsing and incremental processing keep large imports stable and memory-efficient.
- **Composable intelligence**: AI features are assembled through Agent + Tool Calling, not hard-coded into one model path.
- **Schema-first evolution**: Import, query, analysis, and visualization share a consistent data model that scales with new features.
---
## Local Development
For complete contributor instructions, see the [Development Guide](https://docs.chatlab.fun/contributing/development).
### Requirements
- Node.js >= 24 < 25
- pnpm >= 9 < 10
### Setup
```bash
# Install dependencies
pnpm install
# Run desktop app in dev mode
pnpm dev
# Run CLI in dev mode (apps/cli)
cd apps/cli && pnpm dev
```
If Electron encounters exceptions during startup, you can try using `electron-fix`:
```bash
npm install electron-fix -g
electron-fix start
```
## Privacy Policy & User Agreement
Before using this software, please read the [Privacy Policy & User Agreement](./src/assets/docs/agreement_en.md).
## Community
Please follow these principles before submitting a Pull Request:
- Obvious bug fixes can be submitted directly.
- For new features, please submit an Issue for discussion first; **PRs submitted without prior discussion will be closed**.
- Keep one PR focused on one task; if changes are extensive, consider splitting them into multiple independent PRs.
- For local setup, repository structure, checks, and AI collaboration notes, see the [Development Guide](https://docs.chatlab.fun/contributing/development).
Thanks to all contributors:
## License
AGPL-3.0 License