> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Learning Machines

> Set learning=True to turn an agent into a learning machine.

```python always_learn.py theme={null}
"""
Learning Machines
=================
Set learning=True to turn an agent into a learning machine.

The agent automatically captures:
- User profile: name, role, preferences
- User memory: observations, context, patterns

No explicit tool calls needed. Extraction runs in parallel.
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
db = SqliteDb(db_file="tmp/agents.db")

agent = Agent(
    model=OpenAIResponses(id="gpt-5.5"),
    db=db,
    learning=True,
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Demo
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    user_id = "alice1@example.com"

    # Session 1: Share information naturally
    print("\n--- Session 1: Extraction happens automatically ---\n")
    agent.print_response(
        "Hi! I'm Alice. I work at Anthropic as a research scientist. "
        "I prefer concise responses without too much explanation.",
        user_id=user_id,
        session_id="session_1",
        stream=True,
    )
    lm = agent.learning_machine
    lm.user_profile_store.print(user_id=user_id)
    lm.user_memory_store.print(user_id=user_id)

    # Session 2: New session - agent remembers
    print("\n--- Session 2: Agent remembers across sessions ---\n")
    agent.print_response(
        "What do you know about me?",
        user_id=user_id,
        session_id="session_2",
        stream=True,
    )
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai sqlalchemy
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `always_learn.py`, then run:

    ```bash theme={null}
    python always_learn.py
    ```
  </Step>
</Steps>

Full source: [cookbook/08\_learning/00\_quickstart/01\_always\_learn.py](https://github.com/agno-agi/agno/blob/main/cookbook/08_learning/00_quickstart/01_always_learn.py)