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This example shows you how to use persistent memory with an Agent.
During each run the Agent can create/update/delete user memories.
To enable this, set enable_agentic_memory=True in the Agent config.
Code
from agno.agent.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.openai import OpenAIChat
from rich.pretty import pprint
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
john_doe_id = "john_doe@example.com"
agent = Agent(
model=OpenAIChat(id="gpt-5-mini"),
db=db,
enable_agentic_memory=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,
)
agent.print_response("What are my hobbies?", stream=True, user_id=john_doe_id)
memories = agent.get_user_memories(user_id=john_doe_id)
print("Memories about John Doe:")
pprint(memories)
agent.print_response(
"Remove all existing memories of me.",
stream=True,
user_id=john_doe_id,
)
memories = agent.get_user_memories(user_id=john_doe_id)
print("Memories about John Doe:")
pprint(memories)
agent.print_response(
"My name is John Doe and I like to paint.", stream=True, user_id=john_doe_id
)
memories = agent.get_user_memories(user_id=john_doe_id)
print("Memories about John Doe:")
pprint(memories)
agent.print_response(
"I don't paint anymore, i draw instead.", stream=True, user_id=john_doe_id
)
memories = agent.get_user_memories(user_id=john_doe_id)
print("Memories about John Doe:")
pprint(memories)
Usage
Create a virtual environment
Open the Terminal and create a python virtual environment.python3 -m venv .venv
source .venv/bin/activate
Run Example
python cookbook/memory/02_agentic_memory.py
