# Introduction

aigent.run is an **AI agent terminal** built for the next generation of onchain interaction. Instead of navigating complex dashboards or decentralized exchanges, users can now simply **chat or speak directly with specialized AI agents** to get things done.

Whether buying a token, analyzing onchain data, or automating trading strategies, everything is streamlined into one intuitive terminal experience.

## Why the Pivot?

In our early stages, aigent.run offered a memecoin-focused DEX and launchpad. While these tools were powerful, they were still constrained by the **traditional “click-and-navigate” UX** of existing Web3 platforms.

Through constant development and user feedback, we discovered a more natural way:

* **Ask, don’t click.** Instead of hunting through interfaces, just type “Analyze liquidity for XRP/RLUSD” or “Buy 5000 aixrp using RLUSD”
* **Agents that adapt.** Tasks are executed by specialized AI agents equipped with MCP tools, chaining together complex actions automatically.
* **Everything in one place.** From token analysis to automated trading and blockchain exploration, the terminal becomes your universal command center.

## Vision

We believe conversational AI will replace dashboards as the primary way users interact with blockchains and digital ecosystems. Just as command lines transformed computing decades ago, the **AI Agent Terminal** is redefining how users control onchain activity.

With aigent.run, users gain:

* **Efficiency:** Reduce 10+ clicks into a single prompt.
* **Accessibility:** No technical skills required, if you can chat, you can use the terminal.
* **Adaptability:** Agents evolve with your workflows, learning from context and preferences.
* **Interoperability:** Built for the XRP Ledger, with more integrations coming.

### **Key Takeaway**

aigent.run is not another DEX or launchpad. It is a **terminal-first platform**, where **AI agents are the interface**. Faster, smarter, and more user-friendly than anything that came before.

## Learn More

{% content-ref url="/pages/dWrMxLJ4xDCjy6V5I4lZ" %}
[Account Setup](/getting-started/account-setup.md)
{% endcontent-ref %}

{% content-ref url="/pages/GAOEKVRbSPqwAkGrrzmF" %}
[First Commands in the Terminal](/getting-started/first-commands-in-the-terminal.md)
{% endcontent-ref %}

{% content-ref url="/pages/pYt6Qzk8TqGVVRPqxuue" %}
[Using the AI Agent Terminal](/ai-agent-terminal/using-the-ai-agent-terminal.md)
{% endcontent-ref %}

{% content-ref url="/pages/EswAoMXoQYrZHqGOSywF" %}
[MCP Tools](/ai-agent-terminal/mcp-tools.md)
{% endcontent-ref %}

{% content-ref url="/pages/Hf1nr6nTAC8i9aOaDavw" %}
[Security](/platform/security.md)
{% endcontent-ref %}

{% content-ref url="/pages/7ocFUuNzeIqjVo0r4yo2" %}
[FAQ](/platform/faq.md)
{% endcontent-ref %}


---

# 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.aigent.run/the-story/introduction.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.