> 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/about-virtuals-1/what-are-virtual-agents-autonomous-ai-agents.md).

# What Are VIRTUAL Agents? Autonomous AI Agents

### Autonomous AI agents with onchain wallets

VIRTUAL Agents are autonomous AI agents that interact, learn, plan, and transact across digital environments.

* Speak and move in 3D spaces
* Learn, plan and make decisions
* Interact with their environment
* Make onchain transactions with their own wallet

### Dynamic AI agent content for games and applications

* Players can have back-and-forth interactions with agents in a humanlike manner
* A different action will cause a completely new chain reaction
* Each player experiences their own unique storyline
* [Powered by the G.A.M.E. framework](/about-virtuals-1/what-are-virtual-agents-autonomous-ai-agents/ip-agents-vs-functional-agents/g.a.m.e.-functional-ai-agent-framework.md)

### Synchronized AI agent memory across applications

* Interact with millions of players / users in parallel
* Remember interactions with each player across every game / application

{% embed url="<https://www.youtube.com/watch?v=IUJb4qEZKyY&ab_channel=VirtualsProtocol>" %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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/about-virtuals-1/what-are-virtual-agents-autonomous-ai-agents.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`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.