# Search Memory

Search memories based on a user query.

## **Parameters**

* **query** *(str, required)* — Retrieval query string.
* **user\_id** *(str, optional)* — User identifier for the memory.
* **agent\_id** *(str, optional)* — Agent identifier for the memory.
* **scopes** *(set\[MemoryScope], optional)* — Specifies the target for memory management, either for a specific participant or for combined access (USER or ASSISTANT). Default is \[USER].
  * **USER**: Writes and retrieves memories targeting messages from user.
  * **ASSISTANT**: Writes and retrieves memories targeting messages from assistant.
  * **USER, ASSISTANT**: Writes and retrieves memories targeting messages from both the user and assistant.
* **metadata** *(dict\[str, str], optional)* — Extra metadata linked to the memory, which can be used to store any supplementary details or context related to it. Default is None.
* **threshold** *(float, optional)* — Minimum similarity threshold for results. Default is 0.3.
* **top\_k** *(int, optional)* — Maximum number of results to return. Default is 10.

**Note:** At least one of `user_id` or `agent_id` must be provided.

## **Returns**

*list\[Chunk]* — A list of retrieved memory chunks. Each Chunk follows the GL SDK format and includes an id, content, metadata, and score.

## **Example**

```python
import asyncio
from gllm_memory import MemoryManager
from gllm_memory.enums import MemoryScope

# Initialize
memory_manager = MemoryManager()

result = asyncio.run(memory_manager.search(
    query="What does the user like to eat?",
    user_id=user_id, 
    scopes=[MemoryScope.USER], 
    threshold=0.3, 
    top_k=5
))

print(result)
```

### Expected Output

```python
[
    Chunk(
        id=003634aa-c99c-4617-8f8d-e76aca07511b,
        content=User Prefers pizza and Italian food,
        metadata={
            'user_id': '1f2ef5ee8771...',
            'app_id': 'default-project',
            'metadata': {
                'source': '1f2ef5ee8771...',
                'target': 'agent_general-purpose'
            },
            'categories': None,
            'created_at': '2025-11-04T07:51:26-08:00',
            'updated_at': '2025-11-04T07:51:26-08:00',
            'expiration_date': None,
            'structured_attributes': {
                'year': 2025, 'month': 11, 'day': 4, 'hour': 15, 'minute': 51,
                'day_of_week': 'tuesday', 'week_of_year': 45, 'day_of_year': 308,
                'quarter': 4, 'is_weekend': False
            },
            'event': 'RETRIEVE',
        },
        score=0.6258521899073022
    )
]
```