> For the complete documentation index, see [llms.txt](https://docs.bitgpt.ink/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bitgpt.ink/ecosystem/partnerships.md).

# Partnerships

Upcoming ecosystem partners

[Eigenlayer](https://www.eigenlayer.xyz/) - A groundbreaking protocol that leverages the Ethereum blockchain to introduce a novel concept known as restaking.

[Lumia](https://lumia.org/) - The first next-generation blockchain to provide a comprehensive solution across the entire life cycle of real world assets (RWAs)

[Morpheus](https://mor.org/) - Designed to democratize access to Smart Agents, enhancing decentralization and incentivizing contributors who build, maintain, and utilize the open-source infrastructure.

[Near](https://near.org/) - NEAR Protocol is a layer-one blockchain that was designed as a community-run cloud computing platform

[Sahara AI](https://saharalabs.ai/) - A platform where everyone an create and monetize AI models, datasets, and applications in a collaborative space.

Sentient

[Solana](https://solana.com/) - Solana is a highly functional open source project that banks on blockchain technology’s permissionless nature to provide decentralized finance (DeFi) solutions

[Sweatcoin](https://sweatco.in/) - Turn your steps into real-life rewards


---

# 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.bitgpt.ink/ecosystem/partnerships.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.