Integrate self-hosted Supabase with mem0 system

- Configure mem0 to use self-hosted Supabase instead of Qdrant for vector storage
- Update docker-compose to connect containers to localai network
- Install vecs library for Supabase pgvector integration
- Create comprehensive test suite for Supabase + mem0 integration
- Update documentation to reflect Supabase configuration
- All containers now connected to shared localai network
- Successful vector storage and retrieval tests completed

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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Docker Config Backup
2025-07-31 06:57:10 +02:00
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---
title: Quickstart
icon: "bolt"
iconType: "solid"
title: 'Quickstart'
description: 'Get your Mem0 Memory System running in under 5 minutes'
---
<Snippet file="async-memory-add.mdx" />
Mem0 offers two powerful ways to leverage our technology: [our managed platform](#mem0-platform-managed-solution) and [our open source solution](#mem0-open-source).
Check out our [Playground](https://mem0.dev/pd-pg) to see Mem0 in action.
## Prerequisites
<CardGroup cols={2}>
<Card title="Mem0 Platform (Managed Solution)" icon="chart-simple" href="#mem0-platform-managed-solution">
Better, faster, fully managed, and hassle free solution.
<Card title="Docker & Docker Compose" icon="docker">
Required for Neo4j and Qdrant containers
</Card>
<Card title="Mem0 Open Source" icon="code-branch" href="#mem0-open-source">
Self hosted, fully customizable, and open source.
<Card title="Python 3.10+" icon="python">
For the mem0 core system and API
</Card>
</CardGroup>
## Installation
## Mem0 Platform (Managed Solution)
### Step 1: Start Database Services
Our fully managed platform provides a hassle-free way to integrate Mem0's capabilities into your AI agents and assistants. Sign up for Mem0 platform [here](https://mem0.dev/pd).
The Mem0 SDK supports both Python and JavaScript, with full [TypeScript](/platform/quickstart/#4-11-working-with-mem0-in-typescript) support as well.
Follow the steps below to get started with Mem0 Platform:
1. [Install Mem0](#1-install-mem0)
2. [Add Memories](#2-add-memories)
3. [Retrieve Memories](#3-retrieve-memories)
### 1. Install Mem0
<AccordionGroup>
<Accordion title="Install package">
<CodeGroup>
```bash pip
pip install mem0ai
```bash
docker compose up -d neo4j qdrant
```
```bash npm
npm install mem0ai
```
</CodeGroup>
</Accordion>
<Accordion title="Get API Key">
### Step 2: Test Your Installation
1. Sign in to [Mem0 Platform](https://mem0.dev/pd-api)
2. Copy your API Key from the dashboard
![Get API Key from Mem0 Platform](/images/platform/api-key.png)
</Accordion>
</AccordionGroup>
### 2. Add Memories
<AccordionGroup>
<Accordion title="Instantiate client">
<CodeGroup>
```python Python
import os
from mem0 import MemoryClient
os.environ["MEM0_API_KEY"] = "your-api-key"
client = MemoryClient()
```bash
python test_all_connections.py
```
```javascript JavaScript
import MemoryClient from 'mem0ai';
const client = new MemoryClient({ apiKey: 'your-api-key' });
```
</CodeGroup>
</Accordion>
<Accordion title="Add memories">
<CodeGroup>
```python Python
messages = [
{"role": "user", "content": "Thinking of making a sandwich. What do you recommend?"},
{"role": "assistant", "content": "How about adding some cheese for extra flavor?"},
{"role": "user", "content": "Actually, I don't like cheese."},
{"role": "assistant", "content": "I'll remember that you don't like cheese for future recommendations."}
]
client.add(messages, user_id="alex")
```
```javascript JavaScript
const messages = [
{"role": "user", "content": "Thinking of making a sandwich. What do you recommend?"},
{"role": "assistant", "content": "How about adding some cheese for extra flavor?"},
{"role": "user", "content": "Actually, I don't like cheese."},
{"role": "assistant", "content": "I'll remember that you don't like cheese for future recommendations."}
];
client.add(messages, { user_id: "alex" })
.then(response => console.log(response))
.catch(error => console.error(error));
```
```bash cURL
curl -X POST "https://api.mem0.ai/v1/memories/" \
-H "Authorization: Token your-api-key" \
-H "Content-Type: application/json" \
-d '{
"messages": [
{"role": "user", "content": "I live in San Francisco. Thinking of making a sandwich. What do you recommend?"},
{"role": "assistant", "content": "How about adding some cheese for extra flavor?"},
{"role": "user", "content": "Actually, I don't like cheese."},
{"role": "assistant", "content": "I'll remember that you don't like cheese for future recommendations."}
],
"user_id": "alex"
}'
```
```json Output
[
{
"id": "24e466b5-e1c6-4bde-8a92-f09a327ffa60",
"memory": "Does not like cheese",
"event": "ADD"
},
{
"id": "e8d78459-fadd-4c5a-bece-abb8c3dc7ed7",
"memory": "Lives in San Francisco",
"event": "ADD"
}
]
```
</CodeGroup>
</Accordion>
</AccordionGroup>
### 3. Retrieve Memories
<AccordionGroup>
<Accordion title="Search for relevant memories">
<CodeGroup>
```python Python
# Example showing location and preference-aware recommendations
query = "I'm craving some pizza. Any recommendations?"
filters = {
"AND": [
{
"user_id": "alex"
}
]
}
client.search(query, version="v2", filters=filters)
```
```javascript JavaScript
const query = "I'm craving some pizza. Any recommendations?";
const filters = {
"AND": [
{
"user_id": "alex"
}
]
};
client.search(query, { version: "v2", filters })
.then(results => console.log(results))
.catch(error => console.error(error));
```
```bash cURL
curl -X POST "https://api.mem0.ai/v1/memories/search/?version=v2" \
-H "Authorization: Token your-api-key" \
-H "Content-Type: application/json" \
-d '{
"query": "I'm craving some pizza. Any recommendations?",
"filters": {
"AND": [
{
"user_id": "alex"
}
]
}
}'
```
```json Output
[
{
"id": "7f165f7e-b411-4afe-b7e5-35789b72c4a5",
"memory": "Does not like cheese",
"user_id": "alex",
"metadata": null,
"created_at": "2024-07-20T01:30:36.275141-07:00",
"updated_at": "2024-07-20T01:30:36.275172-07:00",
"score": 0.92
},
{
"id": "8f165f7e-b411-4afe-b7e5-35789b72c4b6",
"memory": "Lives in San Francisco",
"user_id": "alex",
"metadata": null,
"created_at": "2024-07-20T01:30:36.275141-07:00",
"updated_at": "2024-07-20T01:30:36.275172-07:00",
"score": 0.85
}
]
```
</CodeGroup>
</Accordion>
<Accordion title="Get all memories of a user">
<CodeGroup>
```python Python
filters = {
"AND": [
{
"user_id": "alex"
}
]
}
all_memories = client.get_all(version="v2", filters=filters, page=1, page_size=50)
```
```javascript JavaScript
const filters = {
"AND": [
{
"user_id": "alex"
}
]
};
client.getAll({ version: "v2", filters, page: 1, page_size: 50 })
.then(memories => console.log(memories))
.catch(error => console.error(error));
```
```bash cURL
curl -X GET "https://api.mem0.ai/v1/memories/?version=v2&page=1&page_size=50" \
-H "Authorization: Token your-api-key" \
-H "Content-Type: application/json" \
-d '{
"filters": {
"AND": [
{
"user_id": "alice"
}
]
}
}'
```
```json Output
[
{
"id": "7f165f7e-b411-4afe-b7e5-35789b72c4a5",
"memory": "Does not like cheese",
"user_id": "alex",
"metadata": null,
"created_at": "2024-07-20T01:30:36.275141-07:00",
"updated_at": "2024-07-20T01:30:36.275172-07:00",
"score": 0.92
},
{
"id": "8f165f7e-b411-4afe-b7e5-35789b72c4b6",
"memory": "Lives in San Francisco",
"user_id": "alex",
"metadata": null,
"created_at": "2024-07-20T01:30:36.275141-07:00",
"updated_at": "2024-07-20T01:30:36.275172-07:00",
"score": 0.85
}
]
```
</CodeGroup>
</Accordion>
</AccordionGroup>
<Card title="Mem0 Platform" icon="chart-simple" href="/platform/overview">
Learn more about Mem0 platform
</Card>
## Mem0 Open Source
Our open-source version is available for those who prefer full control and customization. You can self-host Mem0 on your infrastructure and integrate it with your AI agents and assistants. Checkout our [GitHub repository](https://mem0.dev/gd)
Follow the steps below to get started with Mem0 Open Source:
1. [Install Mem0 Open Source](#1-install-mem0-open-source)
2. [Add Memories](#2-add-memories-open-source)
3. [Retrieve Memories](#3-retrieve-memories-open-source)
### 1. Install Mem0 Open Source
<AccordionGroup>
<Accordion title="Install package">
<CodeGroup>
```bash pip
pip install mem0ai
```
```bash npm
npm install mem0ai
```
</CodeGroup>
</Accordion>
</AccordionGroup>
### 2. Add Memories <a name="2-add-memories-open-source"></a>
<AccordionGroup>
<Accordion title="Instantiate client">
<CodeGroup>
```python Python
from mem0 import Memory
m = Memory()
```
```typescript TypeScript
import { Memory } from 'mem0ai/oss';
const memory = new Memory();
```
</CodeGroup>
</Accordion>
<Accordion title="Add memories">
<CodeGroup>
```python Code
# For a user
messages = [
{
"role": "user",
"content": "I like to drink coffee in the morning and go for a walk"
}
]
result = m.add(messages, user_id="alice", metadata={"category": "preferences"})
```
```typescript TypeScript
const messages = [
{
role: "user",
content: "I like to drink coffee in the morning and go for a walk"
}
];
const result = memory.add(messages, { userId: "alice", metadata: { category: "preferences" } });
```
```json Output
[
{
"id": "3dc6f65f-fb3f-4e91-89a8-ed1a22f8898a",
"data": {"memory": "Likes to drink coffee in the morning"},
"event": "ADD"
},
{
"id": "f1673706-e3d6-4f12-a767-0384c7697d53",
"data": {"memory": "Likes to go for a walk"},
"event": "ADD"
}
]
```
</CodeGroup>
</Accordion>
</AccordionGroup>
### 3. Retrieve Memories <a name="3-retrieve-memories-open-source"></a>
<AccordionGroup>
<Accordion title="Search for relevant memories">
<CodeGroup>
```python Python
related_memories = m.search("Should I drink coffee or tea?", user_id="alice")
```
```typescript TypeScript
const relatedMemories = memory.search("Should I drink coffee or tea?", { userId: "alice" });
```
```json Output
[
{
"id": "3dc6f65f-fb3f-4e91-89a8-ed1a22f8898a",
"memory": "Likes to drink coffee in the morning",
"user_id": "alice",
"metadata": {"category": "preferences"},
"categories": ["user_preferences", "food"],
"immutable": false,
"created_at": "2025-02-24T20:11:39.010261-08:00",
"updated_at": "2025-02-24T20:11:39.010274-08:00",
"score": 0.5915589089130715
},
{
"id": "e8d78459-fadd-4c5a-bece-abb8c3dc7ed7",
"memory": "Likes to go for a walk",
"user_id": "alice",
"metadata": {"category": "preferences"},
"categories": ["hobby", "food"],
"immutable": false,
"created_at": "2025-02-24T11:47:52.893038-08:00",
"updated_at": "2025-02-24T11:47:52.893048-08:00",
"score": 0.43263634637810866
}
]
```
</CodeGroup>
</Accordion>
</AccordionGroup>
<CardGroup cols={2}>
<Card title="Mem0 OSS Python SDK" icon="python" href="/open-source/python-quickstart">
Learn more about Mem0 OSS Python SDK
</Card>
<Card title="Mem0 OSS Node.js SDK" icon="node" href="/open-source/node-quickstart">
Learn more about Mem0 OSS Node.js SDK
</Card>
</CardGroup>
You should see all systems passing.