> For the complete documentation index, see [llms.txt](https://cassava.gitbook.io/document/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://cassava.gitbook.io/document/introduction/what-is-cassava.md).

# What is Cassava?

<table data-view="cards"><thead><tr><th></th><th></th><th></th></tr></thead><tbody><tr><td><img src="/files/2bBC3PPkpIHdePCFmPNf" alt="" data-size="original"></td><td></td><td>              <a href="https://twitter.com/CassavaNetwork">Twitter</a></td></tr><tr><td><img src="/files/UoPbZ22Ox618CxHOrQG3" alt=""></td><td></td><td>             <a href="https://discord.gg/Js3q82uQfE">Discord</a></td></tr><tr><td><img src="/files/NRauB95OZgufRjcunBnz" alt=""></td><td></td><td>            <a href="https://t.me/cassavanetwork">Telegram</a></td></tr></tbody></table>

***

**Cassava Protocol** is an AI-first social data value mining protocol designed to establish an open and collaborative AI data network called Cassava Network that is accessible to all artificial intelligence systems.

Through the adoption of technologies such as **FHE** (fully homomorphic encryption) and **ZKP** (zero-knowledge proof), the Cassava Network is becoming an abstract distributed artificial intelligence data network used to transmit, store, and verify all user data in the network.

<figure><img src="/files/Gc5aOzzmR1zHmdK3KQLX" alt=""><figcaption><p>Realizing the value of everyone's online data - Cassava</p></figcaption></figure>

***

**Cassava Network** will be jointly strengthened by community members providing infrastructure to manage high-quality manually labeled AI training data and contributing to realizing an AI-based social data value mining protocol.&#x20;

By establishing the Network, an open collaborative AI data network accessible to all AI through the social data value mining protocol, Cassava also provide permissionless infrastructure and incentives for community members to manage, store and share AI data, and users realize value by participating in network construction and data interaction.

{% hint style="info" %}
**Join Cassava Network**

If you’re not using Cassava Network, get started from our [Twitter](https://twitter.com/CassavaNetwork), [Discord](https://discord.gg/Js3q82uQfE) and [Telegram](https://t.me/cassavanetwork) and create your account from Cassava Network
{% endhint %}

***

### **Cassava Users Highlight**&#x20;

> **995,000+ Users on Cassava App**&#x20;
>
> **200,000+ On-chain interactions**&#x20;
>
> **17B+ Distributed CB Points**&#x20;
>
> **1,000+ Community Size**

***

### **If you want to learn more, dive into these contents**

[FAQ](/document/introduction/faq.md) - A list of answers to commonly asked questions&#x20;

[How is Cassava work](/document/overview/cassava-ecosystem.md) - A breakdown of Cassava’s technical component&#x20;

[How to Join](https://app.cassava.network/#/) - Learn how to start contributing to the network

***

### **Join our Community**

* [X/Twitter](https://x.com/CassavaNetwork)
* [Discord](https://discord.gg/Js3q82uQfE)
* [Telegram](https://t.me/cassavanetwork)


---

# 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://cassava.gitbook.io/document/introduction/what-is-cassava.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.
