Memories in Context

Demonstrates `add_memories_to_context` with team memory capture.

memories_in_context.py
"""
Memories in Context
===================

Demonstrates `add_memories_to_context` with team memory capture.
"""

from pprint import pprint

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.memory import MemoryManager
from agno.models.openai import OpenAIResponses
from agno.team import Team

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_file = "tmp/team_memories.db"
team_db = SqliteDb(
    db_file=db_file, session_table="team_sessions", memory_table="team_memories"
)
memory_manager = MemoryManager(
    model=OpenAIResponses(id="gpt-5-mini"),
    db=team_db,
)


# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
assistant_agent = Agent(
    name="Personal Assistant",
    model=OpenAIResponses(id="gpt-5-mini"),
    instructions=[
        "Use recent memories to personalize responses.",
        "When unsure, ask for clarification.",
    ],
)


# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
personal_team = Team(
    name="Personal Memory Team",
    model=OpenAIResponses(id="gpt-5-mini"),
    members=[assistant_agent],
    db=team_db,
    memory_manager=memory_manager,
    update_memory_on_run=True,
    add_memories_to_context=True,
)


# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    user_id = "jane.doe@example.com"

    personal_team.print_response(
        "My preferred coding language is Python and I like weekend hikes.",
        stream=True,
        user_id=user_id,
    )

    personal_team.print_response(
        "What do you know about my preferences?",
        stream=True,
        user_id=user_id,
    )

    memories = personal_team.get_user_memories(user_id=user_id)
    print("\nCaptured memories:")
    pprint(memories)

Example behavior

update_memory_on_run=True creates memories in a background model task, while add_memories_to_context=True includes previously stored memories in the leader’s context. The first message’s new memories become available to later runs. The member does not inherit these memory settings automatically. The explicit user_id identifies the records to retrieve.

Run the Example

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate

Install dependencies

uv pip install -U agno openai sqlalchemy

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"

Run the example

Save the code above as memories_in_context.py, then run:

python memories_in_context.py

Full source: cookbook/03_teams/06_memory/03_memories_in_context.py