MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models

• URL: http://arxiv.org/abs/2604.07752v1
• Date: Thu, 09 Apr 2026 03:16:46 GMT
• Title: MIMIC-Py: An Extensible Tool for Personality-Driven Automated Game Testing with Large Language Models
• Abstract summary: This paper presents MIMIC-Py, a Python-based automated game-testing tool that transforms personality-driven agents into a reusable framework.<n>MIMIC-Py exposes personality traits as inputs and adopts a modular architecture that decouples planning, execution, and memory from game-specific logic.<n>We show how it enables deployment to new game environments with minimal engineering effort, bridging the gap between research prototypes and practical automated game testing.
• Score: 9.426130742272715
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Modern video games are complex, non-deterministic systems that are difficult to test automatically at scale. Although prior work shows that personality-driven Large Language Model (LLM) agents can improve behavioural diversity and test coverage, existing tools largely remain research prototypes and lack cross-game reusability. This tool paper presents MIMIC-Py, a Python-based automated game-testing tool that transforms personality-driven LLM agents into a reusable and extensible framework. MIMIC-Py exposes personality traits as configurable inputs and adopts a modular architecture that decouples planning, execution, and memory from game-specific logic. It supports multiple interaction mechanisms, enabling agents to interact with games via exposed APIs or synthesized code. We describe the design of MIMIC-Py and show how it enables deployment to new game environments with minimal engineering effort, bridging the gap between research prototypes and practical automated game testing. The source code and a demo video are available on our project webpage: https://mimic-persona.github.io/MIMIC-Py-Home-Page/.

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