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Paper Engine

Game automation, computer vision, and performance analysis framework for Linux

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Game Automation

Run games via Wine or native Linux, capture screenshots, read live memory state, and generate intelligent bot scripts with LLM-powered code generation.

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Computer Vision

Built-in annotation tool, YOLO11/YOLO26 training pipeline, and a self-learning play-annotate-train loop for continuous improvement.

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Performance Analysis

Game diagnostics: engine configs, runtime environment, ProtonDB data, Wine/DXVK prefix scanning, known fixes, and LLM-generated reports.

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Memory Reading

Four-layer Mono/Unity memory reading system -- from raw process_vm_readv up to config-driven game state with pointer chain traversal.

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Three-Domain Bots

Read-Fuse-Dispatch-Act architecture. Combines memory telemetry and YOLO spatial detections to drive navigation and combat strategies.

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Engine Detection

Automatically identifies Unreal Engine 3/4, Unity, Void Engine, and id Tech from directory structure, then adapts analysis accordingly.