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

# Use SQLite as the database for an Agent.

> SQLite storage backend for agent sessions.

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

```python 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

```bash theme={null}
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/06_storage/sqlite

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python sqlite_for_agent.py
```