Comprehensive 게임 엔진 Tools for Every Need

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게임 엔진

  • AGM: AI Game Maker enables seamless game development with AI support.
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    What is AGM: AI Game Maker?
    AGM: AI Game Maker is an innovative platform designed for aspiring game developers. It integrates AI technology to streamline the game creation process, offering users tools for designing characters, environments, and game logic. Users can create interactive gameplay experiences with minimal coding knowledge, enabling rapid prototyping and iteration. The AI assists in generating dialogue, artwork, and even music, enhancing overall productivity and creativity in game development.
  • Global game distribution with one SDK, maximizing reach and revenue.
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    What is WORTAL?
    Wortal is a comprehensive platform designed to simplify game distribution for studios. With Wortal, developers can manage releases through a single SDK, ensuring their games are globally distributed and optimized for top performance across multiple platforms. Wortal provides seamless integration with major game engines, automatic AI-driven optimization, and essential monetization tools. Developers can focus on creating great games while Wortal handles the complexities of distribution, reaching diverse markets and boosting revenue with in-game ads.
  • Gomoku Battle is a Python framework enabling developers to build, test, and pit AI agents in Gomoku games.
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    What is Gomoku Battle?
    At its core, Gomoku Battle provides a robust simulation environment where AI agents adhere to a JSON-based protocol to receive board state updates and submit move decisions. Developers can integrate custom strategies by implementing simple Python interfaces, leveraging provided sample bots for reference. The built-in tournament manager automates scheduling of round-robin and elimination matches, while detailed logs capture metrics like win rates, move times, and game histories. Outputs can be exported as CSV or JSON for further statistical analysis. The framework supports parallel execution to accelerate large-scale experiments and can be extended to include custom rule variations or training pipelines, making it ideal for research, education, and competitive AI development.
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