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

# About JuliaOS

JuliaOS is a modular, open-source platform for building, deploying, and managing AI-powered agents and swarms across multiple blockchains. It provides a robust backend in Julia, a flexible Node.js CLI, Python bindings, and a suite of tools for cross-chain, DeFi, and agent-based applications.

### Key Features <a href="#key-features" id="key-features"></a>

* **Agent and Swarm Intelligence**: Create and manage AI agents for various tasks, and coordinate them using swarm algorithms.
* **Blockchain and Cross-Chain Integration**: Connect to multiple blockchains and transfer assets between them.
* **Wallet Management**: Support for multiple wallets (Ethereum, Solana, etc.) with comprehensive error handling.
* **Python and Node.js Interfaces**: Access JuliaOS functionality from Python or Node.js applications.
* **Extensible Framework**: Build your own agents, swarms, bridges, and more on top of the framework.

### Vision <a href="#vision" id="vision"></a>

Empower developers and researchers to build the next generation of decentralized, intelligent, and interoperable applications.


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# 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.juliaos.vip/about-juliaos.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.