> For the complete documentation index, see [llms.txt](https://docs.campnetwork.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.campnetwork.xyz/introduction/l1-architecture/origin-framework.md).

# Origin Framework

{% hint style="warning" %}
Some features are still in active development
{% endhint %}

The Origin framework streamlines registering and managing IP onchain, enabling agents to mint and monetize new IP. Users can define custom parameters on how their IP can and should be used onchain, to which all the actors adhere to for any tasks ie, remixing, consumption, attribution. 

<figure><img src="/files/iQUTt9yQLEnYt1Q22evp" alt=""><figcaption><p>IP registration user flow</p></figcaption></figure>

### Key features of the Origin framework include:

* **Effortless IP Management:** Simplifies the onboarding of user-owned IP and agents, while allowing users to remix existing IP with ease.
* **IP Monetization:** Interactions between IP and agents (virtual or real) form an economic system of royalty & value flow, which camp powers seamlessly.&#x20;
* **Tokenomics Support:** Implements granular IP ownership and revenue share between ecosystem players fostering better alignment.&#x20;
* **User-Friendly Onboarding:** Abstracts complex onchain processes, enabling seamless participation for non-technical users.


---

# 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:

```
GET https://docs.campnetwork.xyz/introduction/l1-architecture/origin-framework.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.