Its internal C++ module captures a secure, low-latency frame buffer of the active window.
Core Architecture
How It Works Under The Hood
The Instant Frame Buffer Contextual Awareness module is built on a highly optimized C++ and Python bridge. By bypassing standard Windows UI restrictions, Coral AI directly interfaces with system memory, native Win32 APIs, and DOM structures to achieve near-zero latency execution.
10ms Capture Latency
Does not freeze your UI to take a screenshot.
VLM Processing
Passes the high-res image to a Vision-Language Model to map out every UI element.
Actionable Insights
Answers questions like 'Which button should I click to save this file?'
Video Comprehension
Can analyze paused frames of a YouTube video to explain the visual context.
This module does not operate in isolation. It is dynamically invoked by the Coral PlannerAgent via JSON-RPC, allowing it to be chained endlessly with vision and memory modules.