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

# 内置记忆

## 代码

```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"),
    # 设置 add_history_to_messages=true 以将之前的聊天记录添加到发送给模型的消息中。
    add_history_to_messages=True,
    # 要添加到消息中的历史响应数量。
    num_history_responses=3,
    description="你是一个乐于助人的助手，总是以礼貌、积极和正面的方式回应。",
)

# -*- 创建一个运行
agent.print_response("分享一个两句话的恐怖故事", stream=True)
# -*- 打印记忆中的消息
pprint(
    [
        m.model_dump(include={"role", "content"})
        for m in agent.get_messages_for_session()
    ]
)

# -*- 提出一个延续对话的后续问题
agent.print_response("我的第一条消息是什么？", stream=True)
# -*- 打印记忆中的消息
pprint(
    [
        m.model_dump(include={"role", "content"})
        for m in agent.get_messages_for_session()
    ]
)
```

## 用法

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

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

  <Step title="运行示例">
    <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>