> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Team With Memory Manager

> Demonstrates persistent team memory updates through MemoryManager.

```python team_with_memory_manager.py theme={null}
"""
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

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno "psycopg[binary]" openai sqlalchemy
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Snippet file="run-pgvector-step.mdx" />

  <Step title="Run the example">
    Save the code above as `team_with_memory_manager.py`, then run:

    ```bash theme={null}
    python team_with_memory_manager.py
    ```
  </Step>
</Steps>

Full source: [cookbook/03\_teams/06\_memory/01\_team\_with\_memory\_manager.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/06_memory/01_team_with_memory_manager.py)