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

# AI Partners

AI-native partners integrate with Vishwa to build and deploy autonomous financial agents. These agents use on-chain data and custom underwriting logic to minimize defaults, maximize returns, and continuously adapt to changing market conditions.

With KiteAI, we co-developed an agent that helps Bitcoin miners borrow stablecoin liquidity via Vishwa and automate spending strategies through KiteAI’s Agent Passports — showcasing how agents can manage the full borrow–spend lifecycle with verifiability and cross-chain efficiency.

> “At KiteAI, we believe AI agents should operate seamlessly across ecosystems, making complex financial decisions verifiable and automated. Partnering with Vishwa allows agents in our network to directly access orchestrated liquidity, transforming what used to be manual, high-friction processes into automated strategies. This is a major step toward our vision of agent-driven finance becoming both practical and scalable.”
>
> <p align="right">—— Chi Zhang, Co-Founder of KiteAI<br></p>

Through our partnership with 0G, stablecoin inflows from its community sale are activated directly within the Vishwa orchestration layer. Instead of waiting for opportunities, these assets are put to work from day one, automatically routed into strategies that generate yield and strengthen the broader 0G ecosystem.

> Partnering with Vishwa ensures that this liquidity is not idle.  It is deployed safely and automatically into lending and yield strategies through Vishwa’s non-custodial orchestration layer. This brings immediate, adaptive utility to stablecoins in the 0G ecosystem, across chains and use cases."\
> &#x20;                                                                                                       —— Michael Heinrich, Co-Founder of 0G

<figure><img src="/files/ruF34Qyh0SwsGGNlxnQN" alt=""><figcaption></figcaption></figure>


---

# 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, and the optional `goal` query parameter:

```
GET https://docs.vishwalab.com/ecosystem/ai-partners.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
