AsyncMySQLDb class.
Usage
Install thesqlalchemy, asyncmy, and openai packages:
uv pip install sqlalchemy asyncmy openai
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 `asyncmy` async driver
db_url = "mysql+asyncmy://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 \
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 async database 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. |
culture_table | Optional[str] | - | Name of the table to store cultural knowledge. |
traces_table | Optional[str] | - | Name of the table to store traces. |
spans_table | Optional[str] | - | Name of the table to store spans. |
versions_table | Optional[str] | - | Name of the table to store schema versions. |
create_schema | bool | True | Whether to create the database schema if it doesn't exist. Set to False when the schema is managed externally. |