# Lmgame Bench评估指南与功能详解

- 来源：Hao AI Lab (@haoailab)
- 发布时间：2025-08-22 03:16
- AIHOT 分数：35
- AIHOT 链接：https://aihot.virxact.com/items/cmnxjn85o00gwsl9op2m5ge8w
- 原文链接：https://x.com/haoailab/status/1958609076252025265

## AI 摘要

[Lmgame Bench]

🤔 是否曾想过如何在 Lmgame-Bench 中评估不同游戏，甚至添加自己的游戏，却不知从何入手？

我们已让运行评估和集成新游戏变得极其简单。我们最新的博客将引导您了解 Lmgame Bench 的几个关键功能，包括：
- 智能体与环境设置。
- 单命令单智能体与多智能体评估。
- 模型与游戏框架支持。

您可以通过我们的博客了解更多 👉https://lmgame.org/#/blog/lmgame_use

## 正文

【Lmgame Bench】

🤔 Ever wondered how to evaluate different games in Lmgame-Bench or even add your own， but don't know where to start？

We've made it super easy to run evaluations and integrate new games. Our latest blog walks you through a few key features from Lmgame Bench including：
- Agent & environment setup.
- One-command single & multi-agent evals.
- Model & gaming harness support.

You can find out more from our Blog 👉https://lmgame.org/#/blog/lmgame_use