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This example shows you how to use persistent memory with an Agent.
After each run, user memories are created/updated.
To enable this, set update_memory_on_run=True in the Agent config.
Code
from uuid import uuid4
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIResponses
from rich.pretty import pprint
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
db.clear_memories()
session_id = str(uuid4())
john_doe_id = "john_doe@example.com"
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
db=db,
update_memory_on_run=True,
)
agent.print_response(
"My name is John Doe and I like to hike in the mountains on weekends.",
stream=True,
user_id=john_doe_id,
session_id=session_id,
)
agent.print_response(
"What are my hobbies?", stream=True, user_id=john_doe_id, session_id=session_id
)
memories = agent.get_user_memories(user_id=john_doe_id)
print("John Doe's memories:")
pprint(memories)
agent.print_response(
"Ok i dont like hiking anymore, i like to play soccer instead.",
stream=True,
user_id=john_doe_id,
session_id=session_id,
)
# You can also get the user memories from the agent
memories = agent.get_user_memories(user_id=john_doe_id)
print("John Doe's memories:")
pprint(memories)
Usage
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
Run Example
python agent_with_memory.py
