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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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Prerequisites

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Installation

1

Install SDK

pip install mem0ai
2

Set your API key

from mem0 import MemoryClient

client = MemoryClient(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")
4

Search memories

results = client.search("What are my dietary restrictions?", filters={"user_id": "user123"})
print(results)
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.

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What’s Next?

Memory Operations

Learn how to search, update, and delete memories with complete CRUD operations

Platform Features

Explore advanced features like metadata filtering, graph memory, and webhooks

API Reference

See complete API documentation and integration examples

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Additional Resources