Automação
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AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI…
★ 24,9 mil estrelasCustom (check repo)
Ver o guia →ghost-os é um projeto de automação de código aberto de ghostwright (ghostwright/ghost-os no GitHub). Tem 1.667 estrelas no GitHub e 159 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 23 de março de 2026.
Full computer-use for AI agents on macOS — self-learning workflows, no screenshots.
Set up Ghost OS natively on your Mac with accessibility permissions.
Point your AI agent at Ghost OS as its computer-use layer.
The agent learns workflows by watching how tasks are done.
Agents carry out multi-step tasks through real UI controls.
Agents operate the Mac through real interface elements.
Uses accessibility APIs instead of image-based guessing.
Agents improve routines by learning from repetition.
Built specifically for the Mac, not a ported layer.
Designed as the execution layer for AI agents.
Works with the Model Context Protocol ecosystem.
Download the source and move into the project folder.
git clone https://github.com/ghostwright/ghost-os.git
cd ghost-osEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandNo, Ghost OS is native to macOS and relies on its accessibility framework.
Accessibility APIs give agents structured UI data, which is faster and more reliable than reading pixels.
MIT licensed — commercial use allowed.
Workflows get better over time as the agent records and replays successful patterns; check the docs for details.
Any agent that can talk to its interface, including Claude Code and MCP-based agents.
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.