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

# Memories in Context

> Demonstrates `add_memories_to_context` with team memory capture.

```python memories_in_context.py theme={null}
"""
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)
```

## Run the Example

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

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

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

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

Full source: [cookbook/03\_teams/06\_memory/03\_memories\_in\_context.py](https://github.com/agno-agi/agno/blob/main/cookbook/03_teams/06_memory/03_memories_in_context.py)