> For the complete documentation index, see [llms.txt](https://whitepaper.virtuals.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.virtuals.io/virtuals-bai-pi-shu/guan-yu-virtuals-1/shen-me-shi-virtual-agents-zi-zhu-ai-zhi-neng-ti/ip-zhi-neng-ti-vs-gong-neng-xing-zhi-neng-ti/g.a.m.e.-gong-neng-xing-ai-zhi-neng-ti-kuang-jia.md).
# G.A.M.E.：功能型 AI 智能体框架
了解 G.A.M.E.（Generative Autonomous Multimodal Entities）如何为开发者提供一个用于智能体行为、规划、记忆和链上操作的 AI 智能体框架、API 和 SDK。
### G.A.M.E. 功能性 AI 智能体框架
G.A.M.E. 功能性智能体
生成式自主多模态实体（G.A.M.E.）是首个面向开发者的产品，旨在让开发者通过 API 和 SDK 访问并试验 Virtuals AI 智能体。
### G.A.M.E. 智能体行为与架构
智能体提示接口可访问智能体行为功能。感知子系统会综合消息并将其发送到战略规划引擎。该引擎与对话处理模块和链上钱包操作器协同工作以生成回复。
长期记忆处理器提取相关经历、反思、动态人格、世界上下文和工作记忆。这些信息支持 AI 智能体的决策。
### 使用 G.A.M.E. API 和 SDK 构建功能性 AI 智能体
反馈循环帮助 AI 智能体优化通用知识，以便未来规划。智能体会评估行动和对话的结果。
G.A.M.E. 是一个轻量级框架，可将即插即用的 AI 智能体添加到项目中。
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# Agent Instructions
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## 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, and the optional `goal` query parameter:
```
GET https://whitepaper.virtuals.io/virtuals-bai-pi-shu/guan-yu-virtuals-1/shen-me-shi-virtual-agents-zi-zhu-ai-zhi-neng-ti/ip-zhi-neng-ti-vs-gong-neng-xing-zhi-neng-ti/g.a.m.e.-gong-neng-xing-ai-zhi-neng-ti-kuang-jia.md?ask=&goal=
```
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`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
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.
