ChatLab/ChatLab: README-based editorial guide

ChatLab/ChatLab describes itself in the README as "Local-first chat history analyzer with AI. | 本地优先的 AI 聊天记录分析工具". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "README", the README says: 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. That establishes the project's stated boundary, not a production test.

The README's "Core Features" section gives a useful starting point for deciding whether the project fits: 🔒 Private by default: Your chat data and settings stay local. No mandatory cloud upload of raw conversations.. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: 🚀 Built for large histories: Stream parsing and multi-worker processing keep imports and analysis responsive, even at million-message scale.. It can shape a first test, but it does not replace testing in the intended environment.

The operating model is spread across sections such as "Desktop App". The source evidence includes: Download the installer for your OS from the official website, then double-click to install.. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.

Start installation from the README's documented entry point. A command that can be checked in the source is: npm i chatlab-cli -g When the README contains no runnable command, this article does not invent one. Open its "Installation" section and confirm system dependencies, default ports, and first-run initialization before using a public server.