#814 · Primary category: AI Agents & Automation
ghost-os
Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.
Project last updated:03/23/26
GitHub Stars
1.6K
Forks
158
Contributors
2
License
MIT
Why we included this project
Most agent frameworks are good at one thing: talking to code and terminals. Ghost OS instead gives a model direct control over the Mac, letting it click, type, drag, and manage windows in native apps like Slack or Messages rather than working inside a browser tab, and any MCP-compatible client such as Claude Code or Cursor can drive it. The interesting part is the self-learning recipe flow: show it a task once, and it records the steps, has a frontier model turn that into a reusable recipe, and a small local model replays it later. Recipes are plain JSON, so you can read exactly what will run before it runs, and the design is local-first: data stays on your machine. A vision-model fallback covers web apps where the accessibility tree is too thin, which is how it avoids screenshots.
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