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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.

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Code

agentic_memory.py
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)

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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
3

Run Example

python cookbook/memory/02_agentic_memory.py
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