Async Sqlite for Agent

Agno supports using Sqlite asynchronously as a storage backend for Agents, with the AsyncSqliteDb class.

Usage

async_sqlite_for_agent.py

"""
Run `uv pip install openai sqlalchemy aiosqlite` to install dependencies.
"""
import asyncio

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.tools.hackernews import HackerNewsTools

# Initialize AsyncSqliteDb
db = AsyncSqliteDb(db_file="agent_storage.db")

agent = Agent(
    db=db,
    tools=[HackerNewsTools()],
    add_history_to_context=True,
    add_datetime_to_context=True,
)

asyncio.run(agent.aprint_response("How many people live in Canada?"))
asyncio.run(agent.aprint_response("What is their national anthem called?"))

Params

Parameter	Type	Default	Description
db_engine	Optional[Engine]	-	The SQLAlchemy database engine to use.
db_url	Optional[str]	-	The database URL to connect to.
db_file	Optional[str]	-	The database file to connect to.
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 user 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 documents data.
traces_table	Optional[str]	-	Name of the table to store traces.
spans_table	Optional[str]	-	Name of the table to store spans.