Async MySQL

AsyncMySQLDb stores Agent, Team, and Workflow sessions, memories, knowledge, evaluations, and traces asynchronously in MySQL.

Usage

Install the sqlalchemy, 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

db_url = "mysql+asyncmy://ai:ai@localhost:3306/ai"

db = AsyncMySQLDb(db_url=db_url)
agent = Agent(db=db)

Use async methods such as Agent.arun() and Agent.aprint_response() with this database.

Run MySQL

Install Docker Desktop, then start MySQL on port 3306:

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

Parameters

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.

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Additional Resources

Async MySQL

Usage

Run MySQL

Parameters

​Usage

​Run MySQL

​Parameters

Usage

Run MySQL

Parameters