Async MySQL

Use MySQL asynchronously for agent session storage.

Agno supports using MySQL asynchronously, with the AsyncMySQLDb class.

Usage

async_mysql_for_agent.py

from agno.agent import Agent
from agno.db.mysql import AsyncMySQLDb

# Replace with your own connection string, and notice the `async_` prefix
db_url = "mysql+aiomysql://ai:ai@localhost:3306/ai"

# Setup your Database
db = AsyncMySQLDb(db_url=db_url)

# Setup your Agent with the Database
agent = Agent(db=db)

Run MySQL

Install docker desktop and run MySQL on port 3306 using:

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 \
  -d mysql:8

Params

Parameter	Type	Default	Description
id	Optional[str]	-	The ID of the database instance. UUID by default.
db_url	Optional[str]	-	The database URL to connect to.
db_engine	Optional[AsyncEngine]	-	The SQLAlchemy asyncdatabase engine to use.
db_schema	Optional[str]	-	The database schema to use.
session_table	Optional[str]	-	Name of the table to store Agent, Team and Workflow sessions.
memory_table	Optional[str]	-	Name of the table to store memories.
metrics_table	Optional[str]	-	Name of the table to store metrics.
eval_table	Optional[str]	-	Name of the table to store evaluation runs data.
knowledge_table	Optional[str]	-	Name of the table to store knowledge content.
traces_table	Optional[str]	-	Name of the table to store traces.
spans_table	Optional[str]	-	Name of the table to store spans.