> For the complete documentation index, see [llms.txt](https://docs.carv.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.carv.io/d.a.t.a.-ai-framework/source-code.md).

# Source code

The source code for the **D.A.T.A Framework** is available on GitHub: 👉 [**GitHub Repository: Eliza D.A.T.A**](https://github.com/carv-protocol/eliza-d.a.t.a/tree/carv/dev)

This implementation is built as a **plugin for Eliza**, leveraging its capabilities to provide a robust foundation for AI agents to access and process on-chain and off-chain data using the **D.A.T.A Framework**. The current implementation enables AI agents to utilize structured tags, on-chain metrics, and CARV ID for intelligent decision-making and interaction.

## **Future Development**

The D.A.T.A plugin will continue to evolve with the following goals:

* **Support for New Frameworks**: Expand compatibility beyond Eliza to integrate with leading AI agent platforms like **ZerePy**, **Rig**, and **Virtual**.
* **Enhanced Features**: Introduce additional metrics, deeper on-chain analytics, and cross-chain interoperability to enrich AI agents’ capabilities.
* **Privacy and Trust**: Strengthen TEE and CARV Verifier Node integration to ensure secure and trustless operation.

## **How to Contribute**

Developers are encouraged to explore the repository and contribute to the project by:

* Extending support for additional AI agent frameworks.
* Enhancing existing features, such as advanced metrics and data tagging.
* Proposing new use cases or integrations.

Get started by visiting the repository: 👉 [**GitHub Repository: Eliza D.A.T.A**](https://github.com/carv-protocol/eliza-d.a.t.a/tree/carv/dev)

The **D.A.T.A Framework** is designed to grow with the AI agent ecosystem, and your contributions can help shape its future. Join us in building the next generation of decentralized intelligence!


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# Agent Instructions
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