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ChatLab

ChatLab

A local-first chat analysis tool: Relive and explore your social memories powered by SQL and AI Agents

Data Agents Open Source

Last Updated

2026-06-15

GitHub Stars

6,704

Last Updated

2026-07

About ChatLab

Your chat history, finally yours. Official Website · Docs · Quick Start · Roadmap · 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, QQ, Discord, Instagram, Telegram, iMessage, and Google Chat. Coming next: Messenger and KakaoTalk. - 🚀 Built for large histories: Stream parsing and multi-worker processing keep imports and analysis responsive, even at million-message scale.

Features

Local-first by default
Streaming over buffering
Composable intelligence
Schema-first evolution

Detailed Ratings

Ease of Use
7.7
Value for Money
8.1
Features
8.0
Support
7.4
Performance
8.1
Overall Rating
7.9 /10

Pros & Cons

Pros

  • Active community with 6.7k GitHub stars
  • Local-first by default
  • Streaming over buffering

Use Cases

Data analysisSQL queriesReportingETL

Who Is It For?

Teams and individuals looking for data analysis and reporting who value open-source flexibility and control.

#ai-agent#ai-agents#chat-analyzer#chat-history#data-analysis#core

Frequently Asked Questions

What is ChatLab?

Your chat history, finally yours.

How much does ChatLab cost?

ChatLab is open-source and free to self-host. See https://github.com/ChatLab/ChatLab for installation instructions.

Is ChatLab open source?

Yes — ChatLab is open source with 6.7k stars. The source code is on GitHub at https://github.com/ChatLab/ChatLab.

Who should use ChatLab?

Teams and individuals looking for data analysis and reporting who value open-source flexibility and control.

Related Agents

Links & Resources

AR Reviewed by AgentRadar · Reviewed on · How we rate

Profiles are AI-assisted from public information — not independently hands-on tested.