team_with_memory_manager.py
"""
Team With Memory Manager
========================
Demonstrates persistent team memory updates through MemoryManager.
"""
from uuid import uuid4
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.memory import MemoryManager
from agno.models.openai import OpenAIResponses
from agno.team import Team
from rich.pretty import pprint
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
session_id = str(uuid4())
john_doe_id = "john_doe@example.com"
memory_manager = MemoryManager(model=OpenAIResponses(id="gpt-5-mini"))
memory_manager.clear()
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIResponses(id="gpt-5-mini"),
)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
model=OpenAIResponses(id="gpt-5-mini"),
memory_manager=memory_manager,
members=[agent],
db=db,
update_memory_on_run=True,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
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,
)
memories = team.get_user_memories(user_id=john_doe_id)
print("John Doe's memories:")
pprint(memories)
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno openai psycopg-binary sqlalchemy
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run PgVector
docker run -d \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-e PGDATA=/var/lib/postgresql/data/pgdata \
-v pgvolume:/var/lib/postgresql/data \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:18
5
Run the example
Save the code above as
team_with_memory_manager.py, then run:python team_with_memory_manager.py