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

# Features

AIMXT is packed with features that empower you to manage and automate tasks like never before. From robust agent management and seamless task orchestration to scalable and distributed operations, AIMXT delivers the tools you need to tackle complex workflows efficiently and collaboratively.

***

## Core Features

* **Modular Architecture**: Extensible design for integrating custom functionalities.
* **Task Scheduling**: Automate repetitive tasks using intelligent schedulers.
* **Agent Collaboration**: Seamlessly enable AI agents to work together.
* **Rich Examples**: Pre-built examples for quick setup and experimentation.
* **Networked Communication**: Peer-to-peer connectivity for distributed task execution.

## Additional Features

* **Multi-language Support**: Currently supports Python bindings; more planned.
* **Utilities**: Includes tools for logging, monitoring, and debugging agents.
* **Comprehensive Testing Framework**: Ensure robust performance through built-in tests.

***

## Project Structure

```
/aimxt-master
├── bindings
│   └── AIMXT
│       ├── AIMXT
│       ├── examples
│       ├── src
│       ├── tests
│       ├── build.rs
│       ├── pyproject.toml
│       └── README.md
├── contents
│   └── images
│       ├── logo.png
│       └── img.png
├── docs
│   ├── GettingStart.md
│   ├── examples
│   │   ├── connect-through-network.md
│   │   ├── meeting-scheduler.md
│   │   └── single-item-auction.md
├── libs
│   ├── deeruni
│   └── sangedama
└── README.md
```

***

## Key Directories

* **bindings**: Contains the core AIMXT logic and Python bindings.
* **docs**: Includes user guides and tutorials.
* **libs**: Custom libraries for additional functionality.
* **tests**: Scripts for verifying the integrity of AIMXT components.
* **examples**: Real-world use cases demonstrating AIMXT's capabilities.


---

# 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.aimxt.ai/features.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.
