> For the complete documentation index, see [llms.txt](https://agentory.gitbook.io/agentory-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agentory.gitbook.io/agentory-docs/welcome-to-agentory.md).

# Welcome to Agentory!

<div align="left"><figure><img src="/files/6NhDc8pRJYPO7QwjLosP" alt="" width="375"><figcaption></figcaption></figure></div>

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Agentory is an AI automation platform designed for individuals and businesses seeking intelligent, real-world task execution. It allows users to create and deploy configurable AI agents that operate across communication, workflow, and operational layers without the need for coding.

In a landscape filled with fragmented tools and complex systems, Agentory offers a unified solution that integrates voice, text, and task automation through a modular and scalable architecture. Users can automate functions such as outbound calls, customer interaction, business messaging, and operational tracking with minimal setup.

The platform is powered by the AGNT token, which unlocks premium capabilities, advanced agents, and ecosystem-level access. Agentory is built to support use cases across industries and scales, from solo professionals to enterprise teams, offering control, efficiency, and performance through intelligent automation.


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://agentory.gitbook.io/agentory-docs/welcome-to-agentory.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.