# GAME Framework

{% embed url="<https://www.youtube.com/watch?v=ADRbiLfGKZU>" %}
ReadyGamer has successfully configured custom AI Agents using G.A.M.E Framework to play poker.
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The Virtual's GAME framework is a modular agentic AI system that enables NPCs, companions, or game entities to autonomously plan actions and make decisions based on in-game context.

* Decision-Making Engine: Built on foundation models, allowing AI agents to assess situations and determine the best course of action.
* Action Execution: The framework not only thinks but also processes and outputs executable actions within the game environment.
* Autonomous Purpose: Best suited for agents that operate without direct player input, reacting dynamically to the game world.

{% hint style="info" %}
Learn more about the Virtual's agentic [GAME Framework](https://docs.game.virtuals.io/) here!
{% endhint %}

{% embed url="<https://www.youtube.com/watch?v=B1vzCM8aaHM>" %}
ReadyGamer has successfully configured custom AI Agents using G.A.M.E Framework to play poker.
{% endembed %}


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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://docs.sovrun.org/build-with-sovrun/readygamer/game-framework.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.
