KAGIDOKO : A Deep Learning Horror Game
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$3.99

KAGIDOKO : A Deep Learning Horror Game System Requirements

KAGIDOKO is an experimental horror game where every jumpscare has a reason. Collect all keys, open all doors, and get out of that house... While being stalked by a pre-trained Deep Learning Gameplay AI.
App ID2421470
App TypeGAME
Developers
Publishers Fischl Works
Categories Single-player, Steam Achievements, Full controller support, Steam Workshop
Genres Indie, Action, Simulation, Early Access
Release Date1 Dec, 2023
Platforms Windows, Mac
Supported Languages English, Korean

KAGIDOKO : A Deep Learning Horror Game Minimum PC System Requirements

Minimum:
  • Requires a 64-bit processor and operating system
  • OS: Windows 10
  • Processor: Intel i5 / AMD Ryzen 5
  • Memory: 6 GB RAM
  • Graphics: GTX 1050
  • Storage: 2 GB available space

KAGIDOKO : A Deep Learning Horror Game Recommended PC System Requirements

Recommended:
  • Requires a 64-bit processor and operating system
  • OS: Windows 10
  • Processor: Intel i7 / AMD Ryzen 7
  • Memory: 8 GB RAM
  • Graphics: RTX 1070
  • Storage: 2 GB available space

KAGIDOKO : A Deep Learning Horror Game Minimum MAC System Requirements

Minimum:
  • OS: macOS Big Sur
  • Processor: Intel i5 / Apple M1
  • Memory: 6 GB RAM
  • Storage: 2 GB available space

KAGIDOKO : A Deep Learning Horror Game Recommended MAC System Requirements

Recommended:
  • OS: macOS Ventura
  • Processor: Apple M2
  • Memory: 8 GB RAM
  • Storage: 2 GB available space

KAGIDOKO : A Deep Learning Horror Game Recommended Linux System Requirements

Recommended:
  • OS: Linux Ubuntu 22
  • Processor: Intel i7 / AMD Ryzen 7
  • Memory: 8 GB RAM
  • Graphics: RTX 2060
  • Storage: 2 GB available space

KAGIDOKO : A Deep Learning Horror Game has specific system requirements to ensure smooth gameplay. The minimum settings provide basic performance, while the recommended settings are designed to deliver the best gaming experience. Check the detailed requirements to ensure your system is compatible before making a purchase.

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