tinyhumansai/openhuman: README-based editorial guide

tinyhumansai/openhuman describes itself in the README as "Your Personal AI super intelligence. A brain that builds a local-first memory of your life, a fantastic orchestrator of agent fleets and workflows, and a deep researcher.". 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: 🇺🇸 English | 🇨🇳 简体中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇩🇪 Deutsch | 🇵🇰 اردو. That establishes the project's stated boundary, not a production test.

The README's "🧠 The brain" section gives a useful starting point for deciding whether the project fits: 100+ OAuth integrations, 5,000+ MCP servers, 90,000+ Skills feeds the brain every 20 minutes, so it has tomorrow's context this morning.. 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: Memory Tree you can open and edit. No vector-soup black box.. 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 "README". The source evidence includes: > OpenHuman is not AGI. But it is a meaningful architectural step closer, with better memory, better orchestration, and better tooling.. 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 "What is OpenHuman?" section and confirm system dependencies, default ports, and first-run initialization before using a public server.