Files
mem0/docs/open-source/python-quickstart.mdx
utkarsh240799 0b397eaf06 fix: use persistent platform-appropriate dirs instead of /tmp for vector store defaults (#4279)
Replace hardcoded /tmp/{provider} default paths with XDG-compliant persistent
directories (~/.local/share/mem0/{provider}), fixing failures on Windows,
macOS LaunchAgents, Linux systemd, and Docker. Adds MEM0_DATA_DIR env var
override, legacy /tmp data migration warning, and updates Qdrant/ChromaDB/FAISS
configs and docs to use the new defaults.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-26 18:31:58 +05:30

110 lines
2.7 KiB
Plaintext

---
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>
<Note>
By default `Memory()` wires up:
- OpenAI `gpt-4.1-nano-2025-04-14` for fact extraction and updates
- OpenAI `text-embedding-3-small` embeddings (1536 dimensions)
- Qdrant vector store with on-disk data at `~/.local/share/mem0/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">
Learn how to search, update, and manage memories with full CRUD operations
</Card>
<Card title="Configuration" icon="sliders" href="/open-source/configuration">
Customize Mem0 with different LLMs, vector stores, and embedders for production use
</Card>
<Card title="Advanced Features" icon="sparkles" href="/open-source/features/async-memory">
Explore async support, graph memory, and multi-agent memory organization
</Card>
</CardGroup>
## Additional Resources
- **[OpenAI Compatibility](/open-source/features/openai_compatibility)** - Use Mem0 with OpenAI-compatible chat completions
- **[Contributing Guide](/contributing/development)** - Learn how to contribute to Mem0
- **[Examples](/cookbooks/companions/local-companion-ollama)** - See Mem0 in action with Ollama and other integrations