"""
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.
"""
from uuid import uuid4
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.memory import MemoryManager # noqa: F401
from agno.models.openai import OpenAIResponses
from agno.team import Team
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
session_id = str(uuid4())
john_doe_id = "[email protected]"
# 1. Create memories by setting `update_memory_on_run=True` in the Agent
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
)
team = Team(
model=OpenAIResponses(id="gpt-5.2"),
members=[agent],
db=db,
update_memory_on_run=True,
)
team.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,
)
team.print_response(
"What are my hobbies?", stream=True, user_id=john_doe_id, session_id=session_id
)
# 2. Set a custom MemoryManager on the agent
# memory_manager = MemoryManager(model=OpenAIResponses(id="gpt-5.2"))
# memory_manager.clear()
# agent = Agent(
# model=OpenAIResponses(id="gpt-5.2"),
# memory_manager=memory_manager,
# )
# team = Team(
# model=OpenAIResponses(id="gpt-5.2"),
# members=[agent],
# db=db,
# update_memory_on_run=True,
# )
# team.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,
# )
# # 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)
