# LinkolnOS

<figure><img src="/files/tYlX52Hs6jgJ4MGTGBSt" alt=""><figcaption></figcaption></figure>

In an era where instant access to knowledge is critical, LinkolnOS provides an open-source framework for launching real-time AI knowledge agents—customized for any project, business, or community.

Built as the foundation of Linkoln, LinkolnOS enables developers, builders, and enterprises to create tailored, intelligent agents that dynamically retrieve and deliver knowledge from curated sources. Whether deployed for Web3 communities, startups, internal teams, or customer support, these agents transform static information into a living, conversational experience—accessible instantly through platforms like Telegram.

Now, with LinkolnOS, we are making this technology fully open-source. Instead of relying on centralized AI solutions with black-box limitations, you have complete control over your own knowledge agent—its sources, structure, and behavior.

🔗 [\[GitHub Repository\]](https://github.com/VolarisGames/LinkolnOS)

{% hint style="success" %}
**Build with us! Technical Documentation** [**here**](/volsai/linkolnos/documentation.md)
{% endhint %}

***

#### Why Open-Source?

By releasing LinkolnOS, we aim to:\
✅ Empower builders to deploy AI-powered knowledge agents without dependence on proprietary services.\
✅ Encourage innovation through community-driven improvements, extensions, and integrations.\
✅ Ensure transparency in how knowledge is fetched, filtered, and processed in real-time.\
✅ Enable self-hosting for those who want full control over their data and infrastructure.

LinkolnOS isn’t just about launching AI agents—it’s about redefining how knowledge is accessed, structured, and delivered in real-time, across any domain.

***

#### Get Involved

🚀 Want to help build the next generation of AI knowledge agents?\
Join the LinkolnOS community, contribute to development, or customize your own agent today.

🔗 [\[GitHub Repository\]](https://github.com/VolarisGames/LinkolnOS)\
🔗 \[Community Forum / Discord / Telegram] Coming Soon

{% hint style="success" %}
**Build with us! Technical Documentation** [**here**](/volsai/linkolnos/documentation.md)
{% endhint %}

Welcome to the open-source revolution of knowledge automation.


---

# 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.volaris.games/volsai/linkolnos.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.
