Use Postgres as the database for an agent

Persist agent sessions in Postgres with AsyncPostgresDb and async runs.

async_postgres_for_agent.py

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

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

import asyncio

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

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

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


# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
async def main():
    await agent.aprint_response("How many people live in Canada?")
    await agent.aprint_response("What is their national anthem called?")


if __name__ == "__main__":
    asyncio.run(main())

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 psycopg-binary 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 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
   
5. Run the example

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

   python async_postgres_for_agent.py
   

Full source: cookbook/06_storage/postgres/async_postgres/async_postgres_for_agent.py