> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Built-in Memory

## Code

```python cookbook/agent_concepts/memory/00_builtin_memory.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from rich.pretty import pprint

agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    # Set add_history_to_messages=true to add the previous chat history to the messages sent to the Model.
    add_history_to_messages=True,
    # Number of historical responses to add to the messages.
    num_history_responses=3,
    description="You are a helpful assistant that always responds in a polite, upbeat and positive manner.",
)

# -*- Create a run
agent.print_response("Share a 2 sentence horror story", stream=True)
# -*- Print the messages in the memory
pprint(
    [
        m.model_dump(include={"role", "content"})
        for m in agent.get_messages_for_session()
    ]
)

# -*- Ask a follow up question that continues the conversation
agent.print_response("What was my first message?", stream=True)
# -*- Print the messages in the memory
pprint(
    [
        m.model_dump(include={"role", "content"})
        for m in agent.get_messages_for_session()
    ]
)
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">
    ```bash theme={null}
    pip install -U agno
    ```
  </Step>

  <Step title="Run Example">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/agent_concepts/memory/00_builtin_memory.py
      ```

      ```bash Windows theme={null}
      python cookbook/agent_concepts/memory/00_builtin_memory.py
      ```
    </CodeGroup>
  </Step>
</Steps>