# Introduction to HyperAI

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Welcome to **HyperAI**, Platform and Framework for launching AI agents within the **Hyperliquid ecosystem**. HyperAI enables anyone - from individual enthusiasts to businesses - to create, launch, and interact with their own AI agents. Whether you’re looking to automate trading strategies, manage Hyperliquid wallets, or create unique public-facing agents, HyperAI has you covered.

**What is HyperAI?**

HyperAI is designed to make AI agent creation as simple and intuitive as possible. With just a few clicks, users can:

* **Create AI Agents**: Build agents by uploading a picture, providing details like name, description, and prompts, and linking to various resources such as Hyperliquid wallets or social media profiles.
* **Interact and Chat**: Engage with your agents, whether they’re public (for community interaction) or private (for personal use).
* **Link Hyperliquid Wallets**: Allow agents to read and interpret wallet data, including trading positions and PnL. In the future, agents will help to automate your trading sessions.

**Who Can Use HyperAI?**

Literally anyone! From traders and developers to casual users, HyperAI empowers you to:

* Launch public agents that can interact with an audience or have their own token (try launching it on [**Hypurr.fun**](https://app.hypurr.fun/)**!).**
* Create private agents as personalized trading companions.

**Core Features**

* **AI Agent Creation**: Easy setup with customizable prompts, bios, and knowledge bases.
* **Integration with Hyperliquid**: Read wallet data and access real-time trading insights.
* **Public or Private Agents**: Choose whether your agent is for personal use or public interaction.
* **Future Enhancements**: Planned features include Telegram and X integration, trading automation, and more.

**What’s Next?**

* Dive into [Getting Started](/hyperai-docs/launching-agents/getting-started.md) to learn how to create your first agent.
* Explore the [Roadmap](/hyperai-docs/roadmap.md) to see what’s ahead for HyperAI.


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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://hyperai.gitbook.io/hyperai-docs/introduction-to-hyperai.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.