Persistent Session Storage
Store and retrieve team sessions across runs using PostgreSQL.
Demonstrates using PostgresDb for persistent session storage with a team.
"""
Persistent Session Storage
==========================
Demonstrates using PostgresDb for persistent session storage with a team.
"""
from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
from agno.team.team import Team
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url, session_table="sessions")
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
agent = Agent(name="test_agent", model=OpenAIChat(id="gpt-5.2"))
team = Team(
members=[agent],
db=db,
session_id="team_session_storage",
add_history_to_context=True,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
team.print_response("Tell me a new interesting fact about space")Run the saved script again to reuse team_session_storage from the same database. The fixed session ID and add_history_to_context=True let the team include the previous conversation on subsequent executions.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno "psycopg[binary]" openai sqlalchemyExport 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:18Run the example
Save the code above as persistent_session_storage.py, then run:
python persistent_session_storage.pyFull source: cookbook/06_storage/01_persistent_session_storage.py