This example demonstrates how to enable session caching in memory for faster access to session data, improving performance when working with persistent databases.

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Code

cookbook/agents/session/08_cache_session.py
"""Example of how to cache the session in memory for faster access."""

from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat

# Setup the database
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url, session_table="xxx")

# Setup the agent
agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    db=db,
    session_id="session_storage",
    add_history_to_context=True,
    # Activate session caching. The session will be cached in memory for faster access.
    cache_session=True,
)

# Running the Agent
agent.print_response("Tell me a new interesting fact about space")

# You can get the cached session:
session = agent.get_session()

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai psycopg
3

Setup PostgreSQL

# Make sure PostgreSQL is running
# Update connection string in the code as needed
4

Run Agent

python cookbook/agents/session/08_cache_session.py