Use SQLite as the database for an Agent

Store agent sessions in a SQLite file and recall earlier messages in the conversation.

sqlite_for_agent.py

"""Use SQLite as the database for an Agent.

Run `uv pip install ddgs sqlalchemy openai` to install dependencies.
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = SqliteDb(db_file="tmp/data.db")

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    db=db,
    tools=[WebSearchTools()],
    add_history_to_context=True,
    add_datetime_to_context=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # 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")

Run the Example

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno ddgs openai sqlalchemy
   
3. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
4. Run the example

   Save the code above as sqlite_for_agent.py, then run:

   python sqlite_for_agent.py
   

Full source: cookbook/06_storage/sqlite/sqlite_for_agent.py