Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Store agent sessions in a SQLite file and recall earlier messages in the conversation.
"""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")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno ddgs openai sqlalchemy
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
sqlite_for_agent.py, then run:python sqlite_for_agent.py
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