---
title: "Storage Options"
description: "This page explains how mem0 manages memory storage, focusing on recent simplifications to its configuration. mem0 uses specialized databases called vector stores to efficiently store and retrieve y..."
last_updated: "2026-05-07T04:49:20.001281+00:00"
canonical_url: "https://www.doc0.dev/docs/faa36707-7c28-4f69-a18f-700ff61c704e/guide/section-4/storage-options"
---

This page explains how `mem0` manages memory storage, focusing on recent simplifications to its configuration. `mem0` uses specialized databases called vector stores to efficiently store and retrieve your memories. This ensures that your application can quickly find relevant information when needed.

The latest updates have streamlined the process of configuring these storage options, making it easier to set up and manage your memory system.

### Key Concepts

*   **Vector Store:** A type of database optimized for storing and searching vector embeddings. In `mem0`, vector stores are used to store memories in a format that allows for fast and accurate semantic search.
*   **`MemoryConfig`**: This is the main configuration object for your `mem0` instance. It allows you to specify various settings, including how your memories are stored.
*   **`VectorStoreConfig`**: A specific part of `MemoryConfig` that defines the settings for your chosen vector store.

### Configuring Memory Storage

Previously, configuring your memory storage might have involved specifying a `version` parameter within your `MemoryConfig`. This parameter is no longer necessary and should be removed for a cleaner and more consistent setup.

<Steps>
<Step>
### Update your `MemoryConfig`
If you were previously configuring your memory with a `version` parameter alongside `VectorStoreConfig`, you should now remove it. The system automatically handles the correct versioning.

```python
# Before (if you had a version parameter with VectorStoreConfig)
config = MemoryConfig(
    version="v1.1", # This parameter is no longer needed here
    vector_store=VectorStoreConfig(...)
)

# After
config = MemoryConfig(
    vector_store=VectorStoreConfig(...) # Simply remove the version parameter
)
```
</Step>
</Steps>

<Callout variant="info">
`mem0` has improved the reliability and functionality of its vector stores, including fixes for OpenSearch and general enhancements across all supported storage options.
</Callout>

### Example Configuration

Here's a simple example demonstrating the updated way to configure your memory with a vector store, without the deprecated `version` parameter:

```python
from mem0 import Memory, MemoryConfig
# Assuming VectorStoreConfig is imported or defined elsewhere
# from mem0.configs import VectorStoreConfig 

# Configure your memory with a vector store
# (Details of VectorStoreConfig(...) depend on your specific vector store)
my_config = MemoryConfig(
    vector_store=VectorStoreConfig(
        # ... your specific vector store settings here ...
    )
)

# Initialize Memory with your configuration
memory = Memory(config=my_config)

# You can now use your memory instance
result = memory.add("I like pizza", user_id="test_user")
print(result)
```

<Callout variant="warning">
If you encounter deprecation warnings related to `version="v1.0"` in your configuration, ensure you remove any explicit `version` parameters from your `MemoryConfig` initialization.
</Callout>

## Sitemap

See the full [sitemap](https://www.doc0.dev/docs/faa36707-7c28-4f69-a18f-700ff61c704e/llms.txt) for all pages in this wiki.