> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/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

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai sqlalchemy
```

**2. Export your OpenAI API key**

```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"
```

**3. Run the example**

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

```bash theme={null}
python memories_in_context.py
```

Full source: [cookbook/03\_teams/06\_memory/03\_memories\_in\_context.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/03_teams/06_memory/03_memories_in_context.py)


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