Sqlite for Agent

Agno supports using Sqlite as a storage backend for Agents using the SqliteDb class.

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Usage

You need to provide either db_url, db_file or db_engine. The following example uses db_file.

sqlite_for_agent.py

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.tools.duckduckgo import DuckDuckGoTools

# Setup the SQLite database
db = SqliteDb(db_file="tmp/data.db")

# Setup a basic agent with the SQLite database
agent = Agent(
    db=db,
    tools=[DuckDuckGoTools()],
    add_history_to_context=True,
    add_datetime_to_context=True,
)

# The Agent sessions and runs will now be stored in SQLite
agent.print_response("How many people live in Canada?")
agent.print_response("What is their national anthem?")
agent.print_response("List my messages one by one")

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Params

Parameter	Type	Default	Description
id	Optional[str]	-	The ID of the database instance. UUID by default.
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.

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Developer Resources

• View Cookbook