# The Architecture

HyperAGI Protocol is a Layer 3 AI solution Arbitrum One, focusing on decentralized AGI applications and fostering an autonomous cryptocurrency economy, with the ultimate goal of establishing Unconditional Basic Agent Income (UBAI). It inherits Ethereum's robust security and decentralization, enhanced by the innovative Proof of Useful Work (PoUW) consensus mechanism.

<div data-full-width="true"><figure><img src="/files/nTqZM5V04p1tl0n1dQqi" alt=""><figcaption><p>The System Architecture of HyperAGI including apps</p></figcaption></figure></div>

<https://github.com/HyperdustLab>

GPU nodes are invited to join the network without permission, enabling them to mine the native token, $HYPT, by performing PoW tasks such as AI inference.

Users can utilize various tools to develop their LLM-driven Proof of Personhood (PoP) AGI agents. These agents can be configured as chatbots or as 3D/XR entities within the metaverse. AI developers can instantly utilize or deploy LLM AI microservices, facilitating the creation of programmable, autonomous on-chain agents.

These programmable agents are capable of issuing or owning cryptocurrency assets, and can continuously operate or trade, contributing to a vibrant, autonomous crypto economy.

<figure><img src="/files/ACXv1znEjchPIdR77rZX" alt=""><figcaption><p>clustering  of on-chain computing modes</p></figcaption></figure>


---

# 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://hyperdust-foundation.gitbook.io/hyperagi-docs/the-architecture.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.
