Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-source alternatives. Critical focus on sandboxing, security, and handling the unique challenges of vision-based control. Use when: computer use, desktop automation agent, screen control AI, vision-based ag
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Computer Use Agents
Patterns
Perception-Reasoning-Action Loop
The fundamental architecture of computer use agents: observe screen, reason about next action, execute action, repeat. This loop integrates vision models with action execution through an iterative pipeline.
Key components:
PERCEPTION: Screenshot captures current screen state
REASONING: Vision-language model analyzes and plans
ACTION: Execute mouse/keyboard operations
FEEDBACK: Observe result, continue or corre
[Description truncada. Veja o README completo no GitHub.]
