# Unity Plugin

## Overview

Convai's Unity SDK provides you with all the tools you need to integrate conversational AI into your Unity projects. Convai offers specialized NLP-based services to build intelligent NPCs for your games and virtual worlds. Our platform is designed to seamlessly integrate with your game development workflow, enhancing the interactivity and depth of your virtual environments.

## Key Features

* **Conversational AI**: Leverage advanced NLP capabilities to create NPCs that can understand and respond to player input in natural, engaging ways.
* **Intelligent NPCs**: Build characters with dynamic dialogue and behaviors that adapt to player actions and the game world.
* **Easy Integration**: Our SDK is designed for quick and simple integration with your Unity projects, allowing you to focus on creating compelling gameplay experiences.
* **Cross-Engine Support**: In addition to Unity, Convai supports other popular game engines, ensuring broad compatibility and flexibility for your development needs.

{% hint style="info" %}
[**Download the Convai Unity SDK from Unity Asset Store**](https://assetstore.unity.com/packages/tools/behavior-ai/npc-ai-engine-dialog-actions-voice-and-lipsync-convai-235621)
{% endhint %}

This is the Core version of the plugin. It has a sample scene for anyone to get started. This version of the plugin only contains the basic Convai scripts and Character Downloader.

Visit [convai.com](https://convai.com/pipeline/dashboard) for more information and support.

## Quick Setup Tutorial

{% embed url="<https://youtu.be/anb9ityi0MQ?feature=shared>" %}
Quick Guide On Adding AI Characters to Your Unity Project
{% 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.convai.com/api-docs/plugins-and-integrations/unity-plugin.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.