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

team_with_agentic_memory.py

"""
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 = "[e-mail]"

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

1. Set up your virtual environment

   Mac

   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 sqlalchemy
   
3. Set up PostgreSQL database

   Start PostgreSQL with pgvector and update the connection string in the code as needed.

4. Set environment variables

   export OPENAI_API_KEY=your_openai_api_key_here
   
5. Run the example

   python team_with_agentic_memory.py