fastrepl/anarlog: README-based editorial guide

fastrepl/anarlog describes itself in the README as "Open source Granola AI Alternative". 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: > Note: The team is now building char. anarlog remains open-source, MIT-licensed, and maintained as the local-first meeting notetaker in this repo.. That establishes the project's stated boundary, not a production test.

The README's "Why use it" section gives a useful starting point for deciding whether the project fits: Local transcription. Transcription runs on-device, so audio never leaves your machine.. 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: Your data, your device. Sessions, notes, and transcripts are stored locally in SQLite. Attachments and recordings remain local files, and you can export Markdown when you need it.. 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 "How to use it". The source evidence includes: Download the latest release for your platform:. 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: README 没有给出可直接复制的安装命令。 When the README contains no runnable command, this article does not invent one. Open its "How to use it" section and confirm system dependencies, default ports, and first-run initialization before using a public server.