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

# Learning Machine

> Attach a LearningMachine that builds an agentic user profile and recalls it in a new session.

```python learning_machine.py theme={null}
"""
Learning Machine
=============================

Learning Machine.
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.learn import LearningMachine, LearningMode, UserProfileConfig
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
agent_db = SqliteDb(db_file="tmp/agents.db")

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    name="Learning Agent",
    model=OpenAIResponses(id="gpt-5.2"),
    db=agent_db,
    learning=LearningMachine(
        user_profile=UserProfileConfig(mode=LearningMode.AGENTIC),
    ),
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    user_id = "learning-demo-user"

    agent.print_response(
        "My name is Alex, and I prefer concise responses.",
        user_id=user_id,
        session_id="learning_session_1",
        stream=True,
    )

    agent.print_response(
        "What do you remember about me?",
        user_id=user_id,
        session_id="learning_session_2",
        stream=True,
    )
```

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai sqlalchemy
```

**2. Export your OpenAI API key**

```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"
```

**3. Run the example**

Save the code above as `learning_machine.py`, then run:

```bash theme={null}
python learning_machine.py
```

Full source: [cookbook/02\_agents/06\_memory\_and\_learning/learning\_machine.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/06_memory_and_learning/learning_machine.py)


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