> For the complete documentation index, see [llms.txt](https://agpt.co/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agpt.co/docs/classic/forge/component-agent-introduction/agents.md).

# 🤖 Agents

Agents are composed of [🧩 Components](https://docs.agpt.co/forge/components/components/) and responsible for executing pipelines and some additional logic. The base class for all agents is `BaseAgent`, it has the necessary logic to collect components and execute protocols.

## Important methods <a href="#important-methods" id="important-methods"></a>

`BaseAgent` provides two abstract methods needed for any agent to work properly: 1. `propose_action`: This method is responsible for proposing an action based on the current state of the agent, it returns `ThoughtProcessOutput`. 2. `execute`: This method is responsible for executing the proposed action, returns `ActionResult`.

## AutoGPT Agent <a href="#autogpt-agent" id="autogpt-agent"></a>

`Agent` is the main agent provided by AutoGPT. It's a subclass of `BaseAgent`. It has all the [Built-in Components](https://docs.agpt.co/forge/components/built-in-components/). `Agent` implements the essential abstract methods from `BaseAgent`: `propose_action` and `execute`.

## Building your own Agent <a href="#building-your-own-agent" id="building-your-own-agent"></a>

The easiest way to build your own agent is to extend the `Agent` class and add additional components. By doing this you can reuse the existing components and the default logic for executing [⚙️ Protocols](https://docs.agpt.co/forge/components/protocols/).

```
class MyComponent(AgentComponent):
    pass

class MyAgent(Agent):
    def __init__(
        self,
        settings: AgentSettings,
        llm_provider: MultiProvider
        file_storage: FileStorage,
        app_config: AppConfig,
    ):
        # Call the parent constructor to bring in the default components
        super().__init__(settings, llm_provider, file_storage, app_config)
        # Add your custom component
        self.my_component = MyComponent()
```

For more customization, you can override the `propose_action` and `execute` or even subclass `BaseAgent` directly. This way you can have full control over the agent's components and behavior. Have a look at the [implementation of Agent](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/original_autogpt/agents/agent.py) for more details.


---

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