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169 lines
4.2 KiB
Plaintext
169 lines
4.2 KiB
Plaintext
---
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title: Quickstart
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description: "Set up your Mem0 Platform account, install the SDK, and store your first memory in under five minutes."
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icon: "bolt"
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iconType: "solid"
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---
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Get started with Mem0 Platform's hosted API in under 5 minutes. This guide shows you how to authenticate and store your first memory.
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<Note>
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**Are you an AI agent?** See [Sign up as an agent](/platform/agent-signup): mint a working API key in four commands, no email or dashboard required.
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</Note>
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## Prerequisites
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- Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-quickstart" rel="nofollow">Sign up here</a>)
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- API key (<a href="https://app.mem0.ai/dashboard/settings?tab=api-keys&subtab=configuration" rel="nofollow">Get one from dashboard</a>)
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- Python 3.10+, Node.js 18+, or cURL
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## Installation
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<Steps>
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<Step title="Install SDK">
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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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</Step>
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<Step title="Set your API key">
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<CodeGroup>
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```python Python
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from mem0 import MemoryClient
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client = MemoryClient(api_key="your-api-key")
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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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```bash cURL
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export MEM0_API_KEY="your-api-key"
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```
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```bash CLI
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mem0 init --api-key "your-api-key"
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```
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</CodeGroup>
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</Step>
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<Step title="Add a memory">
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<CodeGroup>
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```python Python
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messages = [
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{"role": "user", "content": "I'm a vegetarian and allergic to nuts."},
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{"role": "assistant", "content": "Got it! I'll remember your dietary preferences."}
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]
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client.add(messages, user_id="user123")
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````
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```javascript JavaScript
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const messages = [
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{"role": "user", "content": "I'm a vegetarian and allergic to nuts."},
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{"role": "assistant", "content": "Got it! I'll remember your dietary preferences."}
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];
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await client.add(messages, { userId: "user123" });
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````
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```bash cURL
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curl -X POST https://api.mem0.ai/v3/memories/add/ \
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-H "Authorization: Token $MEM0_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": "Im a vegetarian and allergic to nuts."},
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{"role": "assistant", "content": "Got it! Ill remember your dietary preferences."}
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],
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"user_id": "user123"
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}'
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```
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```bash CLI
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mem0 add "I'm a vegetarian and allergic to nuts." --user-id user123
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```
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</CodeGroup>
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</Step>
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<Step title="Search memories">
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<CodeGroup>
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```python Python
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results = client.search("What are my dietary restrictions?", filters={"user_id": "user123"})
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print(results)
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````
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```javascript JavaScript
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const results = await client.search("What are my dietary restrictions?", { filters: { user_id: "user123" } });
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console.log(results);
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````
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```bash cURL
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curl -X POST https://api.mem0.ai/v3/memories/search/ \
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-H "Authorization: Token $MEM0_API_KEY" \
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-H "Content-Type: application/json" \
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-d '{
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"query": "What are my dietary restrictions?",
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"filters": {"user_id": "user123"}
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}'
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```
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```bash CLI
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mem0 search "What are my dietary restrictions?" --user-id user123
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```
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</CodeGroup>
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**Output:**
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```json
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{
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"results": [
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{
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"id": "14e1b28a-2014-40ad-ac42-69c9ef42193d",
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"memory": "Allergic to nuts",
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"user_id": "user123",
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"categories": ["health"],
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"created_at": "2025-10-22T04:40:22.864647-07:00",
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"score": 0.30
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}
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]
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}
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```
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</Step>
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</Steps>
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<Callout type="tip" icon="plug">
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**Pro Tip**: Want AI agents to manage their own memory automatically? Use <Link href="/platform/mem0-mcp">Mem0 MCP</Link> to let LLMs decide when to save, search, and update memories.
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</Callout>
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## What's next?
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You stored and searched your first memory. Keep going:
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<CardGroup cols={3}>
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<Card title="How it works" icon="diagram-project" href="/core-concepts/how-it-works">
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See how Mem0 extracts, stores, and retrieves memories under the hood.
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</Card>
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<Card title="Memory operations" icon="database" href="/core-concepts/memory-operations/add">
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Go beyond add and search: update, delete, and the full memory lifecycle.
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</Card>
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<Card title="Build an AI companion" icon="users" href="/cookbooks/essentials/building-ai-companion">
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Put it to work in a real app, end to end, in about 10 minutes.
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</Card>
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</CardGroup>
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Stuck on setup? See the [FAQs and troubleshooting](/platform/faqs).
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