GamingAgent
GamingAgent is a platform for evaluating and deploying game agents based on LLM/VLM.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Views
- 9
- Source
- GitHub
- Added
- 2026-10-29
- Last verified
- 2026-10-29
Overview
GamingAgent is an open-source project designed to test and evaluate LLM/VLM-based game agents through standardized gaming environments. It offers two main features: first, assessing state-of-the-art models in diverse video games within a standard environment; second, deploying and evaluating models via customizable GamingAgent workflows (game enhancement) to improve their gaming performance. The project also provides a simple solution for deploying computer-use agents (CUAs) on PCs and laptops for gameplay.
Key features
- ▪Supports multiple LLM/VLM models
- ▪Provides standardized gaming environments
- ▪Customizable workflows to enhance gaming performance
- ▪Easy deployment and evaluation
Use cases
Pros
- ＋Supports multiple mainstream models
- ＋Provides standardized interfaces
- ＋Open-source and easy to extend
Limitations / notes
- －Requires API keys
- －Higher-cost models may incur significant expenses
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, the project is open-source and free, but using certain models may require payment.
Does it support Chinese?
Documentation and interface are primarily in English, but Chinese input is supported.
Can it be used commercially?
It depends on the specific model and its licensing agreement.
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