ChatLab

digua # null · Communication

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

Publisher

digua # null

Version

0.9.3 Latest

License

AGPL-3.0

Description

ChatLab is a free, open-source, and local-first application dedicated to analyzing chat records. Through an AI Agent and a flexible SQL engine, you can freely dissect, query, and even reconstruct your social data. We refuse to upload your privacy to the cloud; instead, we bring powerful analytics directly to your computer. Currently supported: Chat record analysis for LINE, WeChat, QQ, WhatsApp, Instagram and Discord. Upcoming support: Messenger, iMessage. The project is still in early iteration, so there are many bugs and unfinished features. If you encounter any issues, feel free to provide feedback. Core Features - 🚀 Ultimate Performance: Utilizing stream computing and multi-threaded parallel architecture, it maintains fluid interaction and response even with millions of chat records. - 🔒 Privacy Protection: Chat records and configurations are stored in your local database, and all analysis is performed locally (with the exception of AI features). - 🤖 Intelligent AI Agent: Integrated with 10+ Function Calling tools and supporting dynamic scheduling to deeply excavate interesting insights from chat records. - 📊 Multi-dimensional Data Visualization: Provides intuitive analysis charts for activity trends, time distribution patterns, member rankings, and more. - 🧩 Format Standardization: Through a powerful data abstraction layer, it bridges the format differences between various chat applications, allowing any chat records to be analyzed.

ChatLab is available through winget as package ID hellodigua.ChatLab, with version 0.9.3. Use the install command above to set it up on Windows without downloading a separate installer manually.

Why install it with winget

Communication app pages are strongest when they help people restore their day-one workflow quickly: chat, meetings, teams, and personal messaging tools in one setup path.