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aiOS (Privacy-First)

Privacy-First Computer Use Agent for On-Device Automation

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The Challenge

Existing CUAs rely on cloud models, creating massive privacy risks and latency issues. Vision-only approaches are slow and error-prone.

The Solution

aiOS hybridizes Accessibility Tree (AX) parsing with localized VLM verification. It runs small, specialized models (Function Gemma, Qwen) locally on Apple Silicon via MLX.

System Architecture

Architecture Diagram: placeholder_aios_arch.png

Tech Stack

Python
Apple MLX
Neo4j (GraphRAG)
Qwen 2.5
Function Gemma

Key Features

  • 100x Faster than Vision-only agents via AX Tree
  • Zero data egress (Local Inference)
  • Self-correcting workflow using GraphRAG memory