Use Async MySQL as the database for an agent.

Async MySQL storage for agent sessions.

Run uv pip install openai duckduckgo-search sqlalchemy asyncmy agno to install dependencies.

"""Use Async MySQL as the database for an agent.
Run `uv pip install openai duckduckgo-search sqlalchemy asyncmy agno` to install dependencies.
"""

import asyncio
import uuid

from agno.agent import Agent
from agno.db.base import SessionType
from agno.db.mysql import AsyncMySQLDb
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "mysql+asyncmy://ai:ai@localhost:3306/ai"
db = AsyncMySQLDb(db_url=db_url)

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


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
async def main():
    """Run the agent queries in the same event loop"""
    session_id = str(uuid.uuid4())
    await agent.aprint_response(
        "How many people live in Canada?", session_id=session_id
    )
    await agent.aprint_response(
        "What is their national anthem called?", session_id=session_id
    )
    session_data = await db.get_session(
        session_id=session_id, session_type=SessionType.AGENT
    )
    print("\n=== SESSION DATA ===")
    print(session_data.to_dict())


if __name__ == "__main__":
    asyncio.run(main())

Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/06_storage/mysql/async_mysql

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

python async_mysql_for_agent.py