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Instant Frame Buffer Contextual Awareness

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.

Diagnostics

Execution Trace

~ > coral execute --module instant-frame-buffer-contextual-awareness --verbose
0.00ms [INFO] Initializing C++ memory hooks... OK
2.14ms [INFO] Bypassing UI thread restrictions... OK
5.89ms [INFO] Allocating vector buffer for LLM context...
8.22ms [WARN] Elevating privileges to Admin ring...
14.01ms >>> Execution payload delivered successfully.

Technical Specs

  • Latency< 15ms
  • RuntimeC++ / Py 3.11
  • PrivilegeRing 3 / Admin
  • Offline ModeRequires Internet

Agentic Integration

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.