> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-agui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Team with Agentic Memory

This example demonstrates how to use agentic memory with a team. Unlike simple memory storage, agentic memory allows the AI to actively create, update, and delete user memories during each run based on the conversation context, providing intelligent memory management.

## Code

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

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)

john_doe_id = "john_doe@example.com"

agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
)

team = Team(
    model=OpenAIResponses(id="gpt-5.2"),
    members=[agent],
    db=db,
    enable_agentic_memory=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,
)

team.print_response("What are my hobbies?", stream=True, user_id=john_doe_id)

# More examples:
# agent.print_response(
#     "Remove all existing memories of me.",
#     stream=True,
#     user_id=john_doe_id,
# )

# agent.print_response(
#     "My name is John Doe and I like to paint.", stream=True, user_id=john_doe_id
# )

# agent.print_response(
#     "I don't pain anymore, i draw instead.", stream=True, user_id=john_doe_id
# )
```

## Usage

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

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

  <Step title="Set up PostgreSQL database">
    Start PostgreSQL with pgvector and update the connection string in the code as needed.
  </Step>

  <Step title="Set environment variables">
    ```bash theme={null}
    export OPENAI_API_KEY=your_openai_api_key_here
    ```
  </Step>

  <Step title="Run the example">
    ```bash theme={null}
    python team_with_agentic_memory.py
    ```
  </Step>
</Steps>