---
title: Python SDK Quickstart
description: "Install the Mem0 Python SDK, configure your environment, and store your first memory in under five minutes."
icon: "snake"
---

Get started with Mem0's Python SDK in under 5 minutes. This guide shows you how to install Mem0 and store your first memory.

## Prerequisites

- Python 3.10 or higher
- OpenAI API key ([Get one here](https://platform.openai.com/api-keys))

Set your OpenAI API key:

```bash
export OPENAI_API_KEY="your-openai-api-key"
```

<Note>
Uses OpenAI by default. Want to use Ollama, Anthropic, or local models? See [Configuration](/open-source/configuration).
</Note>

## Installation

<Steps>
<Step title="Install via pip">
```bash
pip install mem0ai
```
</Step>

<Step title="Initialize Memory">
```python
from mem0 import Memory

m = Memory()

````
</Step>

<Step title="Add a memory">
```python
messages = [
    {"role": "user", "content": "Hi, I'm Alex. I love basketball and gaming."},
    {"role": "assistant", "content": "Hey Alex! I'll remember your interests."}
]
m.add(messages, user_id="alex")
````

</Step>

<Step title="Search memories">
```python
results = m.search("What do you know about me?", filters={"user_id": "alex"})
print(results)
```

**Output:**

```json
{
  "results": [
    {
      "id": "mem_123abc",
      "memory": "Name is Alex. Enjoys basketball and gaming.",
      "user_id": "alex",
      "categories": ["personal_info"],
      "created_at": "2025-10-22T04:40:22.864647-07:00",
      "score": 0.89
    }
  ]
}
```

</Step>
</Steps>

<Snippet file="star-on-github.mdx" />

<Note>
By default `Memory()` wires up:
- OpenAI `gpt-5-mini` for fact extraction and updates
- OpenAI `text-embedding-3-small` embeddings (1536 dimensions)
- Qdrant vector store with on-disk data at `/tmp/qdrant`
- SQLite history at `~/.mem0/history.db`
- No reranker (add one in the config when you need it)
</Note>

## What's next?

<CardGroup cols={3}>
<Card title="Memory operations" icon="database" href="/core-concepts/memory-operations/add">
Search, update, and manage memories with the full CRUD API.
</Card>

<Card title="Configure for production" icon="sliders" href="/open-source/configuration">
Swap in your own LLM, embedder, and vector store.
</Card>

<Card title="Add to your framework" icon="plug" href="/integrations">
Wire Mem0 into LangChain, CrewAI, LangGraph, and 20+ more.
</Card>
</CardGroup>

If you have any questions, please feel free to reach out:

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