> ## Documentation Index
> Fetch the complete documentation index at: https://0xcat.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Welcome to Akio's official documentation.

> [!WARNING]
>
> **Akio is under active development.** The project is not yet fully functional and may not work as expected out of the box. If you'd like to contribute, feel free to open a [pull request](https://github.com/Fastiraz/akio/pulls). Found a bug, vulnerability, or something unusual? Please open an [issue](https://github.com/Fastiraz/akio/issues). Akio is primarily developed for Linux and macOS. It probably won't work as intended on Windows, even if it compiles.

## What is Akio?

Akio is a **plug-and-play autonomous AI agent** with **embedded model inference**, written in **Rust**.

No Anthropic. No OpenAI. No Ollama. The inference runs directly inside the binary using [llama.cpp](https://github.com/ggml-org/llama.cpp) via FFI. Never depend on a model provider or Google a command again. It combines the power of large language models with real-world capabilities through built-in tools and MCP server support.

> **[Quickstart](https://0xcat.mintlify.site/quickstart.md)**
>
> Install Akio, pull a model, and start your first session.

> **[CLI Reference](https://0xcat.mintlify.site/cli.md)**
>
> Full reference for all `akio` commands and flags.

> **[Built-in Tools](https://0xcat.mintlify.site/tools.md)**
>
> Shell, read, write, glob, and websearch — out of the box.

> **[MCP Servers](https://0xcat.mintlify.site/mcp-client.md)**
>
> Extend Akio with any MCP-compatible tool server.

## Key features

* **In-binary inference** — ships with llama.cpp compiled in; no external runtime needed
* **Default tools** — shell execution, file read/write, glob search, and web search
* **MCP support** — connect any Model Context Protocol server for additional capabilities
* **GPU acceleration** — offload layers to GPU via `--ngl`
* **Fully offline** — once a model is pulled, no internet connection required

## How it works

```shellscript theme={null}
akio pull ggml-org/Qwen3-8B-GGUF   # Download a GGUF model from HuggingFace
akio run -m Qwen3-8B-Q4_K_M.gguf   # Start an interactive session
```

Akio loads the model into memory, exposes a set of tools to the LLM, and runs an autonomous agentic loop — the model reasons, calls tools, observes results, and continues until the task is complete.

## Source

* GitHub: [Fastiraz/akio](https://github.com/Fastiraz/akio)
* License: AGPL-3.0


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.