> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Direct Import

> Bypass the memory deduction phase and directly store pre-defined memories for efficient retrieval

## How to Use Direct Import

The Direct Import feature allows users to skip the memory deduction phase and directly input pre-defined memories into the system for storage and retrieval. To enable this feature, set the `infer` parameter to `False` in the `add` method.

<CodeGroup>
  ```python Python theme={null}
  messages = [
      {"role": "user", "content": "Alice loves playing badminton"},
      {"role": "assistant", "content": "That's great! Alice is a fitness freak"},
      {"role": "user", "content": "Alice mostly cooks at home because of her gym plan"},
  ]


  client.add(messages, user_id="alice", infer=False)
  ```

  ```markdown Output theme={null}
  []
  ```
</CodeGroup>

You can see that the output of the add call is an empty list.

<Note>Only messages with the role "user" will be used for storage. Messages with roles such as "assistant" or "system" will be ignored during the storage process.</Note>

<Warning>
  Direct import skips the inference pipeline, so it also skips duplicate detection. If you later send the same fact with `infer=True`, Mem0 will store a second copy. Pick one mode per memory source unless you truly want both versions.
</Warning>

## How to Retrieve Memories

You can retrieve memories using the `search` method.

<CodeGroup>
  ```python Python theme={null}
  client.search("What is Alice's favorite sport?", filters={"user_id": "alice"})
  ```

  ```json Output theme={null}
  {
    "results": [
      {
        "id": "19d6d7aa-2454-4e58-96fc-e74d9e9f8dd1",
        "memory": "Alice loves playing badminton",
        "user_id": "pc123",
        "metadata": null,
        "categories": null,
        "created_at": "2024-10-15T21:52:11.474901-07:00",
        "updated_at": "2024-10-15T21:52:11.474912-07:00"
      }
    ]
  }
  ```
</CodeGroup>

## How to Retrieve All Memories

You can retrieve all memories using the `get_all` method.

<Callout type="warning" title="Filters Required">
  `get_all()` now requires filters to be specified.
</Callout>

<CodeGroup>
  ```python Python theme={null}
  client.get_all(filters={"AND": [{"user_id": "alice"}]})
  ```

  ```json Output theme={null}
  {
    "results": [
      {
        "id": "19d6d7aa-2454-4e58-96fc-e74d9e9f8dd1",
        "memory": "Alice loves playing badminton",
        "user_id": "pc123",
        "metadata": null,
        "categories": null,
        "created_at": "2024-10-15T21:52:11.474901-07:00",
        "updated_at": "2024-10-15T21:52:11.474912-07:00"
      },
      {
        "id": "8557f05d-7b3c-47e5-b409-9886f9e314fc",
        "memory": "Alice mostly cooks at home because of her gym plan",
        "user_id": "pc123",
        "metadata": null,
        "categories": null,
        "created_at": "2024-10-15T21:52:11.474929-07:00",
        "updated_at": "2024-10-15T21:52:11.474932-07:00"
      }
    ]
  }
  ```
</CodeGroup>

If you have any questions, please feel free to reach out to us using one of the following methods:

<Snippet file="get-help.mdx" />