leon-ai/leon: README-based editorial guide

leon-ai/leon describes itself in the README as "🧠 Leon is your open-source personal assistant.". 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: I share Leon progress most regularly on X / @grenlouis. That establishes the project's stated boundary, not a production test.

The README's "🧠 What Leon Is Today" section gives a useful starting point for deciding whether the project fits: Leon supports native skills for controlled actions and agent skills for SKILL.md-backed workflows.. 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: Leon can run in different ways depending on the task: smart mode chooses for you, controlled mode follows deterministic native skills and actions, and agent mode can plan step by step.. 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 "⚠️ Important Notice (as of 2026-03-29)". The source evidence includes: The most accurate high-level references for Leon's current state are:. 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: # Clone the repository git clone https://github.com/leon-ai/leon.git # Go to the project root cd leon # Install pnpm npm install --global pnpm@latest # Install dependencies pnpm install When the README contains no runnable command, this article does not invent one. Open its "👋 Introduction" section and confirm system dependencies, default ports, and first-run initialization before using a public server.