Ross ROSS = Recommend OSS · open-source software intelligence for agents

ghostwright/ghost-os

Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required. observed · 2026-08-28

github.com/ghostwright/ghost-os · homepage · Swift · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

61/100

  • Activity 73
  • Release rhythm 74
  • Longevity 13
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 195
  • days_rel: 174
  • days_push: 163
  • n_releases_24m: 9

Full methodology

Adoption not part of the score

1646 stars · 158 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Ghost OS is a native macOS framework that gives AI agents full computer-use capabilities by exposing the macOS accessibility tree, Chrome DevTools Protocol, an on-device vision model, and synthetic input through an MCP-compatible interface. It includes self-learning recipes that record a user performing a task once and replay it, letting agents click buttons, fill forms, and operate any app without screenshots.

Use cases

  • let an AI agent click buttons and fill forms in native macOS apps
  • automate sending emails or organizing files via an LLM agent
  • record a workflow once and have the agent replay it forever
  • give Claude Code or other MCP clients control of the Mac UI
  • control web apps through Chrome DevTools Protocol instead of screenshots
  • run on-device visual grounding when accessibility data is unavailable

When to choose

  • you need computer-use automation on macOS without screenshot-based vision loops
  • you want an MCP server that exposes native app control to any agent
  • you want fast, structured UI interaction via the accessibility tree
  • you want self-learning recorded workflows
  • you prefer on-device inference on Apple Silicon

When to avoid

  • you need computer-use on Linux or Windows
  • your automation is browser-only and a browser automation tool suffices
  • you need a screenshot-pixel-based approach for non-native rendering environments
  • you cannot grant macOS accessibility and input permissions

Facets

framework · maturity active

agent-framework mcp workflow-automation computer-vision gui operating-systems accessibility developer-tools cli computer-use accessibility-tree mcp-server self-learning-recipes apple-silicon cg-event chrome-devtools-protocol on-device-llm ai-agents automation macos swift

2 sources

Member repositories

RepositoryRoleHealth v2
ghostwright/ghost-osmain61

For agents

markdown · JSON · MCP: product_card(name="ghostwright/ghost-os")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem