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# Agents
<Tip warning={true}>
Smolagents is an experimental API which is subject to change at any time. Results returned by the agents
can vary as the APIs or underlying models are prone to change.
</Tip>
To learn more about agents and tools make sure to read the [introductory guide](../index). This page
contains the API docs for the underlying classes.
## Agents
Our agents inherit from [`MultiStepAgent`], which means they can act in multiple steps, each step consisting of one thought, then one tool call and execution. Read more in [this conceptual guide](../conceptual_guides/react).
We provide two types of agents, based on the main [`Agent`] class.
- [`CodeAgent`] writes its tool calls in Python code (this is the default).
- [`ToolCallingAgent`] writes its tool calls in JSON.
Both require arguments `model` and list of tools `tools` at initialization.
### Classes of agents
[[autodoc]] MultiStepAgent
[[autodoc]] CodeAgent
[[autodoc]] ToolCallingAgent
### ManagedAgent
_This class is deprecated since 1.8.0: now you simply need to pass attributes `name` and `description` to a normal agent to make it callable by a manager agent._
### stream_to_gradio
[[autodoc]] stream_to_gradio
### GradioUI
> [!TIP]
> You must have `gradio` installed to use the UI. Please run `pip install smolagents[gradio]` if it's not the case.
[[autodoc]] GradioUI
## Prompts
[[autodoc]] smolagents.agents.PromptTemplates
[[autodoc]] smolagents.agents.PlanningPromptTemplate
[[autodoc]] smolagents.agents.ManagedAgentPromptTemplate
[[autodoc]] smolagents.agents.FinalAnswerPromptTemplate
## Memory
Smolagents use memory to store information across multiple steps.
[[autodoc]] smolagents.memory.AgentMemory
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