> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openhands.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Main Agent and Capabilities

## CodeActAgent

### Description

This agent implements the CodeAct idea ([paper](https://arxiv.org/abs/2402.01030), [tweet](https://twitter.com/xingyaow_/status/1754556835703751087)) that consolidates LLM agents’ **act**ions into a
unified **code** action space for both *simplicity* and *performance*.

The conceptual idea is illustrated below. At each turn, the agent can:

1. **Converse**: Communicate with humans in natural language to ask for clarification, confirmation, etc.
2. **CodeAct**: Choose to perform the task by executing code

* Execute any valid Linux `bash` command
* Execute any valid `Python` code with [an interactive Python interpreter](https://ipython.org/). This is simulated through `bash` command, see plugin system below for more details.

![image](https://github.com/OpenHands/OpenHands/assets/38853559/92b622e3-72ad-4a61-8f41-8c040b6d5fb3)

### Demo

[https://github.com/OpenHands/OpenHands/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac](https://github.com/OpenHands/OpenHands/assets/38853559/f592a192-e86c-4f48-ad31-d69282d5f6ac)

*Example of CodeActAgent with `gpt-4-turbo-2024-04-09` performing a data science task (linear regression)*.