Use MySQL as the database for a team

HackerNews research team stores its sessions in MySQL with structured Article output.

mysql_for_team.py
"""Use MySQL as the database for a team.

Run `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
"""

from typing import List

from agno.agent import Agent
from agno.db.mysql import MySQLDb
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.websearch import WebSearchTools
from pydantic import BaseModel

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


# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
class Article(BaseModel):
    title: str
    summary: str
    reference_links: List[str]


hn_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIChat("gpt-5.6-luna"),
    role="Gets top stories from hackernews.",
    tools=[HackerNewsTools()],
)

web_searcher = Agent(
    name="Web Searcher",
    model=OpenAIChat("gpt-5.6-luna"),
    role="Searches the web for information on a topic",
    tools=[WebSearchTools()],
    add_datetime_to_context=True,
)


hn_team = Team(
    name="HackerNews Team",
    model=OpenAIChat("gpt-5.6-luna"),
    members=[hn_researcher, web_searcher],
    db=db,
    instructions=[
        "First, search hackernews for what the user is asking about.",
        "Then, ask the web searcher to search for each story to get more information.",
        "Finally, provide a thoughtful and engaging summary.",
    ],
    output_schema=Article,
    markdown=True,
    show_members_responses=True,
    add_member_tools_to_context=False,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    hn_team.print_response("Write an article about the top 2 stories on hackernews")

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno ddgs openai pymysql sqlalchemy

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"

Run MySQL

docker run -d --name mysql -e MYSQL_ROOT_PASSWORD=ai -e MYSQL_DATABASE=ai -e MYSQL_USER=ai -e MYSQL_PASSWORD=ai -p 3306:3306 mysql:8

Wait for MySQL

Wait until the application user can connect to the initialized database:

docker exec mysql sh -c 'until mysql -h 127.0.0.1 -uai -pai ai -e "SELECT 1" >/dev/null 2>&1; do sleep 1; done'

Run the example

Save the code above as mysql_for_team.py, then run:

python mysql_for_team.py

Full source: cookbook/06_storage/mysql/mysql_for_team.py