368 lines
9.7 KiB
Plaintext
368 lines
9.7 KiB
Plaintext
---
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title: Quickstart
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icon: "bolt"
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iconType: "solid"
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---
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Mem0 offers two powerful ways to leverage our technology: [our managed platform](#mem0-platform-managed-solution) and [our open source solution](#mem0-open-source).
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Check out our [Playground](https://mem0.dev/pd-pg) to see Mem0 in action.
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<CardGroup cols={2}>
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<Card title="Mem0 Platform (Managed Solution)" icon="chart-simple" href="#mem0-platform-managed-solution">
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Better, faster, fully managed, and hassle free solution.
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</Card>
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<Card title="Mem0 Open Source" icon="code-branch" href="#mem0-open-source">
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Self hosted, fully customizable, and open source.
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</Card>
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</CardGroup>
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## Mem0 Platform (Managed Solution)
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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).
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The Mem0 SDK supports both Python and JavaScript, with full [TypeScript](/platform/quickstart/#4-11-working-with-mem0-in-typescript) support as well.
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Follow the steps below to get started with Mem0 Platform:
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1. [Install Mem0](#1-install-mem0)
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2. [Add Memories](#2-add-memories)
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3. [Retrieve Memories](#3-retrieve-memories)
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### 1. Install Mem0
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<AccordionGroup>
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<Accordion title="Install package">
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<CodeGroup>
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```bash pip
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pip install mem0ai
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```
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```bash npm
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npm install mem0ai
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```
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</CodeGroup>
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</Accordion>
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<Accordion title="Get API Key">
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1. Sign in to [Mem0 Platform](https://mem0.dev/pd-api)
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2. Copy your API Key from the dashboard
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</Accordion>
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</AccordionGroup>
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### 2. Add Memories
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<AccordionGroup>
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<Accordion title="Instantiate client">
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<CodeGroup>
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```python Python
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import os
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from mem0 import MemoryClient
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os.environ["MEM0_API_KEY"] = "your-api-key"
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client = MemoryClient()
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```
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```javascript JavaScript
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import MemoryClient from 'mem0ai';
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const client = new MemoryClient({ apiKey: 'your-api-key' });
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```
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</CodeGroup>
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</Accordion>
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<Accordion title="Add memories">
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<CodeGroup>
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```python Python
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messages = [
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{"role": "user", "content": "Thinking of making a sandwich. What do you recommend?"},
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{"role": "assistant", "content": "How about adding some cheese for extra flavor?"},
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{"role": "user", "content": "Actually, I don't like cheese."},
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{"role": "assistant", "content": "I'll remember that you don't like cheese for future recommendations."}
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]
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client.add(messages, user_id="alex")
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```
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```javascript JavaScript
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const messages = [
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{"role": "user", "content": "Thinking of making a sandwich. What do you recommend?"},
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{"role": "assistant", "content": "How about adding some cheese for extra flavor?"},
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{"role": "user", "content": "Actually, I don't like cheese."},
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{"role": "assistant", "content": "I'll remember that you don't like cheese for future recommendations."}
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];
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client.add(messages, { user_id: "alex" })
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.then(response => console.log(response))
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.catch(error => console.error(error));
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```
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```bash cURL
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curl -X POST "https://api.mem0.ai/v1/memories/" \
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-H "Authorization: Token your-api-key" \
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-H "Content-Type: application/json" \
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-d '{
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"messages": [
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{"role": "user", "content": "I live in San Francisco. Thinking of making a sandwich. What do you recommend?"},
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{"role": "assistant", "content": "How about adding some cheese for extra flavor?"},
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{"role": "user", "content": "Actually, I don't like cheese."},
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{"role": "assistant", "content": "I'll remember that you don't like cheese for future recommendations."}
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],
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"user_id": "alex"
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}'
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```
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```json Output
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[{'id': '24e466b5-e1c6-4bde-8a92-f09a327ffa60',
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'memory': 'Does not like cheese',
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'event': 'ADD'},
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{'id': 'e8d78459-fadd-4c5a-bece-abb8c3dc7ed7',
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'memory': 'Lives in San Francisco',
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'event': 'ADD'}]
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```
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</CodeGroup>
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</Accordion>
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</AccordionGroup>
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### 3. Retrieve Memories
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<AccordionGroup>
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<Accordion title="Search for relevant memories">
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<CodeGroup>
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```python Python
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# Example showing location and preference-aware recommendations
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query = "I'm craving some pizza. Any recommendations?"
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filters = {
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"AND": [
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{
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"user_id": "alex"
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}
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]
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}
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client.search(query, version="v2", filters=filters)
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```
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```javascript JavaScript
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const query = "I'm craving some pizza. Any recommendations?";
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const filters = {
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"AND": [
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{
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"user_id": "alex"
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}
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]
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};
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client.search(query, { version: "v2", filters })
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.then(results => console.log(results))
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.catch(error => console.error(error));
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```
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```bash cURL
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curl -X POST "https://api.mem0.ai/v1/memories/search/?version=v2" \
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-H "Authorization: Token your-api-key" \
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-H "Content-Type: application/json" \
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-d '{
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"query": "I'm craving some pizza. Any recommendations?",
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"filters": {
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"AND": [
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{
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"user_id": "alex"
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}
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]
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}
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}'
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```
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```json Output
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[
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{
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"id": "7f165f7e-b411-4afe-b7e5-35789b72c4a5",
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"memory": "Does not like cheese",
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"user_id": "alex",
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"metadata": null,
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"created_at": "2024-07-20T01:30:36.275141-07:00",
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"updated_at": "2024-07-20T01:30:36.275172-07:00",
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"score": 0.92
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},
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{
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"id": "8f165f7e-b411-4afe-b7e5-35789b72c4b6",
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"memory": "Lives in San Francisco",
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"user_id": "alex",
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"metadata": null,
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"created_at": "2024-07-20T01:30:36.275141-07:00",
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"updated_at": "2024-07-20T01:30:36.275172-07:00",
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"score": 0.85
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}
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]
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```
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</CodeGroup>
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</Accordion>
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<Accordion title="Get all memories of a user">
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<CodeGroup>
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```python Python
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filters = {
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"AND": [
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{
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"user_id": "alex"
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}
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]
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}
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all_memories = client.get_all(version="v2", filters=filters, page=1, page_size=50)
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```
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```javascript JavaScript
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const filters = {
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"AND": [
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{
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"user_id": "alex"
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}
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]
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};
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client.getAll({ version: "v2", filters, page: 1, page_size: 50 })
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.then(memories => console.log(memories))
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.catch(error => console.error(error));
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```
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```bash cURL
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curl -X GET "https://api.mem0.ai/v1/memories/?version=v2&page=1&page_size=50" \
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-H "Authorization: Token your-api-key" \
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-H "Content-Type: application/json" \
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-d '{
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"filters": {
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"AND": [
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{
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"user_id": "alice"
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}
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]
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}
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}'
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```
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```json Output
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[
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{
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"id": "7f165f7e-b411-4afe-b7e5-35789b72c4a5",
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"memory": "Does not like cheese",
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"user_id": "alex",
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"metadata": null,
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"created_at": "2024-07-20T01:30:36.275141-07:00",
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"updated_at": "2024-07-20T01:30:36.275172-07:00",
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"score": 0.92
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},
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{
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"id": "8f165f7e-b411-4afe-b7e5-35789b72c4b6",
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"memory": "Lives in San Francisco",
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"user_id": "alex",
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"metadata": null,
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"created_at": "2024-07-20T01:30:36.275141-07:00",
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"updated_at": "2024-07-20T01:30:36.275172-07:00",
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"score": 0.85
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}
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]
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```
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</CodeGroup>
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</Accordion>
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</AccordionGroup>
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<Card title="Mem0 Platform" icon="chart-simple" href="/platform/overview">
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Learn more about Mem0 platform
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</Card>
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## Mem0 Open Source
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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)
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Follow the steps below to get started with Mem0 Open Source:
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1. [Install Mem0 Open Source](#1-install-mem0-open-source)
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2. [Add Memories](#2-add-memories-open-source)
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3. [Retrieve Memories](#3-retrieve-memories-open-source)
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### 1. Install Mem0 Open Source
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<AccordionGroup>
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<Accordion title="Install package">
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```bash
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pip install mem0ai
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```
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</Accordion>
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</AccordionGroup>
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### 2. Add Memories <a name="2-add-memories-open-source"></a>
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<AccordionGroup>
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<Accordion title="Instantiate client">
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```python Python
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from mem0 import Memory
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m = Memory()
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```
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</Accordion>
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<Accordion title="Add memories">
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<CodeGroup>
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```python Code
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# For a user
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result = m.add("I like to drink coffee in the morning and go for a walk.", user_id="alice", metadata={"category": "preferences"})
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```
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```json Output
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[{'id': '3dc6f65f-fb3f-4e91-89a8-ed1a22f8898a',
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'data': {'memory': 'Likes to drink coffee in the morning'},
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'event': 'ADD'},
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{'id': 'f1673706-e3d6-4f12-a767-0384c7697d53',
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'data': {'memory': 'Likes to go for a walk'},
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'event': 'ADD'}]
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```
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</CodeGroup>
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</Accordion>
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</AccordionGroup>
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### 3. Retrieve Memories <a name="3-retrieve-memories-open-source"></a>
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<AccordionGroup>
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<Accordion title="Search for relevant memories">
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<CodeGroup>
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```python Code
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related_memories = m.search("Should I drink coffee or tea?", user_id="alice")
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```
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```json Output
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[
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{
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'id': '3dc6f65f-fb3f-4e91-89a8-ed1a22f8898a',
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'memory': 'Likes to drink coffee in the morning',
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'user_id': 'alice',
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'metadata': {'category': 'preferences'},
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'categories': ['user_preferences', 'food'],
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'immutable': False,
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'created_at': '2025-02-24T20:11:39.010261-08:00',
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'updated_at': '2025-02-24T20:11:39.010274-08:00',
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'score': 0.5915589089130715
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},
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{
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'id': 'e8d78459-fadd-4c5a-bece-abb8c3dc7ed7',
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'memory': 'Likes to go for a walk',
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'user_id': 'alice',
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'metadata': {'category': 'preferences'},
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'categories': ['hobby', 'food'],
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'immutable': False,
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'created_at': '2025-02-24T11:47:52.893038-08:00',
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'updated_at': '2025-02-24T11:47:52.893048-08:00',
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'score': 0.43263634637810866
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}
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]
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```
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</CodeGroup>
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</Accordion>
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</AccordionGroup>
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<Card title="Mem0 Open source" icon="code-branch" href="/open-source/overview">
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Learn more about Mem0 open source
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</Card>
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