> 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/solution.md).

# Solution

<figure><img src="/files/ofaW4A3X7E37dQMiI7Lo" alt=""><figcaption></figcaption></figure>

<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;

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. Myros empowers projects, teams, businesses, and communities to deploy AI agents that retrieve, understand, and deliver relevant knowledge instantly.

| Capability                      | Description                                                          |
| ------------------------------- | -------------------------------------------------------------------- |
| Retrieve live knowledge         | Pull updated content from curated project sources                    |
| Respond conversationally        | Answer users in natural language                                     |
| Remember context                | Maintain conversation history for better continuity                  |
| Support project-specific agents | Each deployment can be tailored to a project, community, or business |
| Operate through Telegram        | Users interact directly inside a familiar messaging environment      |
| Support admin-managed sources   | Project admins can add or remove knowledge sources                   |
| Be self-hosted                  | Builders control their own deployment, infrastructure, and data      |
| Be modified freely              | Open-source code enables customization and extension                 |

Myros begins with a focused purpose: helping projects create their own knowledge-aware agents.

But the larger vision is to make AI agents more accessible, transparent, and useful for everyone.

A chatbot waits for scripted questions.\
Myros connects to live knowledge.

#### Myros is not a static assistant.

A static assistant depends on fixed training data.\
Myros retrieves from sources chosen by the project.

#### Myros is not a closed AI product.

Closed systems limit control and transparency.\
Myros is open-source, self-hostable, and extensible.

#### Myros is not only infrastructure.

Infrastructure is invisible.\
Myros is designed to be felt, recognized, and trusted.

***

<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;

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

<figure><img src="/files/pVENJHlMcBgJJ7sp7uta" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
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```

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