Use Postgres as the database for an agent

Persist agent sessions in Postgres and carry conversation history across runs.

postgres_for_agent.py
"""Use Postgres as the database for an agent.

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

from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.tools.websearch import WebSearchTools

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)

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

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response("How many people live in Canada?")
    agent.print_response("What is their national anthem called?")

Run the Example

Set up your virtual environment

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

Install dependencies

uv pip install -U agno "psycopg[binary]" ddgs openai sqlalchemy

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"

Run PgVector

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql \
  -v pgvolume:/var/lib/postgresql \
  -p 5532:5432 \
  --name pgvector \
  agnohq/pgvector:18

Run the example

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

python postgres_for_agent.py

Full source: cookbook/06_storage/postgres/postgres_for_agent.py