Autonomous agents that click, type, and inspect screens locally require tight memory allocation, fast unified memory or VRAM bandwidth, and explicit OS sandbox entitlements. Simulate your exact hardware configuration to ensure real-time responsiveness without out-of-memory lockups.
All models and KV cache fit entirely in unified memory. Desktop clicks and keystrokes execute with zero swapping.
Apple Silicon Macs utilize unified memory, allowing a 14B or 32B model plus screen grounding VLM to share memory with zero PCIe transfer penalties. On Windows and Linux, discrete GPUs provide ultra-fast GDDR6 bandwidth (500–1000 GB/s), but running out of VRAM causes catastrophic PCIe spillover down to 30–60 GB/s system DDR5 speeds.
An autonomous agent must perceive coordinates (x,y) to interact with UI buttons. Running a dual-model pipeline (such as OmniParser or Florence-2 for UI segmentation plus Qwen 2.5 Coder for chain-of-thought tool execution) ensures high precision without blowing up the context window with raw base64 frame dumps.
macOS enforces TCC (Transparency, Consent, and Control) for Screen Recording and Accessibility. Windows 11 allows Desktop Duplication API and SendInput without kernel prompts, while Linux on Wayland requires PipeWire desktop portal permissions and uinput kernel user-access rights for reliable automation.