> ## 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.

# Use SQLite as the database for an Agent

> Store agent sessions in a SQLite file and recall earlier messages in the conversation.

```python sqlite_for_agent.py theme={null}
"""Use SQLite as the database for an Agent.

Run `uv pip install ddgs sqlalchemy openai` to install dependencies.
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.tools.websearch import WebSearchTools

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

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    db=db,
    tools=[WebSearchTools()],
    add_history_to_context=True,
    add_datetime_to_context=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # The Agent sessions and runs will now be stored in SQLite
    agent.print_response("How many people live in Canada?")
    agent.print_response("What is their national anthem?")
    agent.print_response("List my messages one by one")
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno ddgs 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 `sqlite_for_agent.py`, then run:

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

Full source: [cookbook/06\_storage/sqlite/sqlite\_for\_agent.py](https://github.com/agno-agi/agno/blob/main/cookbook/06_storage/sqlite/sqlite_for_agent.py)