# Welcome to Xalora

### Introducing Xalora <a href="#introducing-heurist" id="introducing-heurist"></a>

Xalora is a decentralized AI-as-a-Service cloud. We aggregate compute resources from trusted DePIN partners to provide serverless AI services. Xalora’s API-first infrastructure elinimates the need for developers to manage GPU machines, and enables cost-efficient, censorship-free AI integration with APIs.

Key Offerings

* **Serverless AI-as-a-Service**: Xalora abstracts away the complexities of hardware management. Use AI through intuitive APIs and SDKs with a few lines of code, saving the hassle of managing GPU machines. We support a wide range of models: LLMs, VLMs, Embedding Models, Image & Video Generation Models, and more.
* Xalora **Agent Framework**: Build your own AI agents that connect to Xalora services and interact with other agents. Our framework makes it easy to create agents that acquire crypto knowledge, manage social media accounts, and execute complex tasks autonomously.
* Xalora **Mesh**: An open network of specialized AI agents that work together in a composable agent swarm. Each agent is purpose-built for specific tasks - analyzing token metrics, scanning smart contracts, processing onchain data, and more. Mesh agents are instantly accessible via REST APIs and MCP (Model Context Protocol). Community developers can contribute their own specialized agents, potentially earning per-use revenue.

[<br>](https://docs.heurist.ai/protocol-overview/litepaper)


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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://xalora-ai.gitbook.io/xalora-ai-docs/getting-started/welcome-to-xalora.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.