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GamingAgent

AI gaming

GamingAgent is an open-source project for game agents and model evaluation aimed at large language models (LLMs) and vision-language models (VLMs), and its related paper was accepted by ICLR 2026. The project provides two major functions: the LMGame Bench evaluation benchmark and the Gaming Agent workflow. It can both evaluate the performance of advanced models in standardized interactive game environments under a single-model VLM setup, and deploy and evaluate models through its customized Gaming Agent workflow (gaming harness) to improve game performance. In addition, it provides a computer-use agent (CUA) solution that can run on personal computers and laptops. The project supports multiple model families including OpenAI, Anthropic, Gemini, xAI, and Deepseek, and provides resources such as a leaderboard, papers, a gallery, and an official website.

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