alookai/alook: README-based editorial guide

alookai/alook describes itself in the README as "The collaboration layer for your AI workforce. Run a team of AI agents that coordinate over email, share memory, and get better with every task.". 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 "What is Alook?", the README says: Alook is an open-source, self-hosted platform that turns your local AI coding agents into a collaborative workforce. Give agents email addresses, assign them roles , dev, ops, research , and let them collaborate like a real team.. That establishes the project's stated boundary, not a production test.

The README's "Community" section gives a useful starting point for deciding whether the project fits: Discord , Chat with the team and other builders. 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: Discord , Chat with the team and other builders. 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 "What is Alook?". The source evidence includes: You're the CEO. Define the org chart. Your company runs 24/7.. 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 "Quick Start" section and confirm system dependencies, default ports, and first-run initialization before using a public server.