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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.
Are you an AI agent? See Sign up as an agent: mint a working API key in four commands, no email or dashboard required.

Prerequisites

Installation

1

Install SDK

pip install mem0ai
npm install mem0ai
2

Set your API key

from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")
import MemoryClient from 'mem0ai';
const client = new MemoryClient({ apiKey: 'your-api-key' });
export MEM0_API_KEY="your-api-key"
mem0 init --api-key "your-api-key"
3

Add a memory

messages = [
    {"role": "user", "content": "I'm a vegetarian and allergic to nuts."},
    {"role": "assistant", "content": "Got it! I'll remember your dietary preferences."}
]
client.add(messages, user_id="user123")
const messages = [
    {"role": "user", "content": "I'm a vegetarian and allergic to nuts."},
    {"role": "assistant", "content": "Got it! I'll remember your dietary preferences."}
];
await client.add(messages, { userId: "user123" });
curl -X POST https://api.mem0.ai/v3/memories/add/ \
  -H "Authorization: Token $MEM0_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      {"role": "user", "content": "Im a vegetarian and allergic to nuts."},
      {"role": "assistant", "content": "Got it! Ill remember your dietary preferences."}
    ],
    "user_id": "user123"
  }'
mem0 add "I'm a vegetarian and allergic to nuts." --user-id user123
4

Search memories

results = client.search("What are my dietary restrictions?", filters={"user_id": "user123"})
print(results)
const results = await client.search("What are my dietary restrictions?", { filters: { user_id: "user123" } });
console.log(results);
curl -X POST https://api.mem0.ai/v3/memories/search/ \
  -H "Authorization: Token $MEM0_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What are my dietary restrictions?",
    "filters": {"user_id": "user123"}
  }'
mem0 search "What are my dietary restrictions?" --user-id user123
Output:
{
  "results": [
    {
      "id": "14e1b28a-2014-40ad-ac42-69c9ef42193d",
      "memory": "Allergic to nuts",
      "user_id": "user123",
      "categories": ["health"],
      "created_at": "2025-10-22T04:40:22.864647-07:00",
      "score": 0.30
    }
  ]
}
Pro Tip: Want AI agents to manage their own memory automatically? Use Mem0 MCP to let LLMs decide when to save, search, and update memories.

What’s next?

You stored and searched your first memory. Keep going:

How it works

See how Mem0 extracts, stores, and retrieves memories under the hood.

Memory operations

Go beyond add and search: update, delete, and the full memory lifecycle.

Build an AI companion

Put it to work in a real app, end to end, in about 10 minutes.
Stuck on setup? See the FAQs and troubleshooting.