# 亮点 - G.A.M.E.（功能型智能体）

<figure><img src="/files/dea0cb7dd0d028c0ca14f1455e1fc29364d3c2ec" alt=""><figcaption><p>G.A.M.E. 功能代理</p></figcaption></figure>

生成式自主多模态实体（G.A.M.E）是首个专为开发者设计的产品，旨在让开发者通过 API 和 SDK 访问并试验我们的 AI 代理。

代理提示接口作为访问代理行为功能的入口。感知子系统会综合消息并将其发送给战略规划引擎。战略规划引擎与对话处理模块及链上钱包操作员协同生成回复。长期记忆处理器可高效提取相关信息——包括经历、反思、动态人格、世界上下文和工作记忆——以增强决策能力。

通过将结果反馈到框架中，AI 代理可以优化其通用知识，以便在未来进行规划，并评估其行动和对话的结果。

你可以从使用 GAME 开始，这是一个轻量级框架，可让你轻松地在项目中即插即用 AI 代理。


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://whitepaper.virtuals.io/virtuals-bai-pi-shu/guan-yu-virtuals-1/shen-me-shi-virtual-zhi-neng-ti/ip-zhi-neng-ti-vs-gong-neng-xing-zhi-neng-ti/liang-dian-g.a.m.e.-gong-neng-xing-zhi-neng-ti.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
