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

# Myros

<figure><img src="/files/EGYf6T3BzLwOKRyONFuv" alt=""><figcaption></figcaption></figure>

{% hint style="success" icon="linktree" %}
[**Website**](https://myros.live/) **|** [**X**](https://x.com/MyrosAgent) **|** [**Linktree**](https://linktr.ee/MyrosAgent) **|** [**Telegram Announcement**](https://t.me/Myros_Ann) **|** [**Telegram Community**](https://t.me/Myros_Chat) **|** [**Linkedin**](https://www.linkedin.com/company/myrosresearch)
{% endhint %}

The internet has become the world’s largest archive of knowledge, yet most of that knowledge remains passive.

It sits inside documentation pages, websites, announcements, community chats, support threads, developer notes, and scattered internal resources. It exists, but it does not respond. It waits to be searched, interpreted, summarized, and understood.

For modern projects, this creates a growing problem.

Communities move faster than documentation.\
Users ask the same questions repeatedly.\
Builders lose time explaining what already exists.\
Teams struggle to keep knowledge accurate, accessible, and alive.

**Myros is built to change that.**

Myros is a framework for launching real-time, knowledge-aware AI agents. She transforms static information into an interactive intelligence layer that users can speak to directly.

Instead of forcing people to search through fragmented sources, Myros allows projects, teams, businesses, and communities to deploy AI agents that retrieve, understand, and deliver relevant knowledge instantly.

Myros is not just another chatbot.

She is a launchpad for living knowledge agents.

Myros is an open-source AI agent framework designed to help projects create tailored, real-time knowledge agents from their own curated sources.

At its foundation, Myros enables an agent to connect with project-specific knowledge, retrieve live information from approved websites or sources, remember conversational context, and respond through familiar communication platforms such as Telegram.

The first release of Myros is focused on open-source adoption. Builders can self-host, modify, extend, and deploy Myros agents without relying on closed, centralized AI systems.

{% hint style="info" icon="signal-stream" %} <mark style="color:pink;">**NOW LIVE! Launch Open Beta**</mark> [<mark style="color:pink;">**here**</mark>](https://t.me/myros_demo_bot)  <mark style="color:pink;">**|  Myros Framework**</mark> [<mark style="color:pink;">**here**</mark>](https://github.com/MyrosResearch/Myros) &#x20;
{% endhint %}

{% embed url="<https://tally.so/r/gDp0Kd>" %}


---

# 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://myros.gitbook.io/bp/myros.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.