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Migrating from Mem0.ai to Supermemory is straightforward. This guide walks you through exporting your memories from Mem0 and importing them into Supermemory.

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Why Migrate to Supermemory?

Supermemory offers enhanced capabilities over Mem0.ai:
  • Memory Router for zero-code LLM integration
  • Knowledge graph architecture for better context relationships
  • Multiple content types (URLs, PDFs, images, videos)
  • Generous free tier (100k tokens) with affordable pricing
  • Multiple integration options (API, Router, MCP, SDKs)

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Quick Migration (All-in-One)

Complete migration in one script: 
from mem0 import MemoryClient
from supermemory import Supermemory
import json, time

# Export from Mem0
mem0 = MemoryClient(api_key="your_mem0_api_key")
export = mem0.create_memory_export(
    schema={"type": "object", "properties": {"memories": {"type": "array", "items": {"type": "object"}}}},
    filters={}
)
time.sleep(5)
data = mem0.get_memory_export(memory_export_id=export["id"])

# Import to Supermemory
supermemory = Supermemory(api_key="your_supermemory_api_key")
for memory in data["memories"]:
    if memory.get("content"):
        supermemory.memories.add(
            content=memory["content"],
            container_tags=["imported_from_mem0"]
        )
        print(f"✅ {memory['content'][:50]}...")

print("Migration complete!")

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Step-by-Step Migration

1

Export from Mem0.ai

Mem0 provides two ways to export your memories:
  1. Log into your Mem0 dashboard
  2. Navigate to the export section
  3. Download your memories as JSON

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Option 2: Export via API

Simple script to export all your memories from Mem0:
from mem0 import MemoryClient
import json
import time

# Connect to Mem0
client = MemoryClient(api_key="your_mem0_api_key")

# Create export job
schema = {
    "type": "object",
    "properties": {
        "memories": {
            "type": "array",
            "items": {
                "type": "object",
                "properties": {
                    "id": {"type": "string"},
                    "content": {"type": "string"},
                    "metadata": {"type": "object"},
                    "created_at": {"type": "string"}
                }
            }
        }
    }
}

response = client.create_memory_export(schema=schema, filters={})
export_id = response["id"]

# Wait and retrieve
print("Exporting memories...")
time.sleep(5)
export_data = client.get_memory_export(memory_export_id=export_id)

# Save to file
with open("mem0_export.json", "w") as f:
    json.dump(export_data, f, indent=2)

print(f"Exported {len(export_data['memories'])} memories")
2

Set Up Supermemory

Create your Supermemory account and get your API key:
  1. Sign up at console.supermemory.ai
  2. Create a new project
  3. Generate an API key from the dashboard
# Set your environment variable
export SUPERMEMORY_API_KEY="your_supermemory_api_key"
3

Import to Supermemory

Simple script to import your Mem0 memories into Supermemory:
import json
from supermemory import Supermemory

# Load your Mem0 export
with open("mem0_export.json", "r") as f:
    mem0_data = json.load(f)

# Connect to Supermemory
client = Supermemory(api_key="your_supermemory_api_key")

# Import memories
for memory in mem0_data["memories"]:
    content = memory.get("content", "")

    # Skip empty memories
    if not content:
        continue

    # Import to Supermemory
    try:
        result = client.memories.add(
            content=content,
            container_tags=["imported_from_mem0"],
            metadata={
                "source": "mem0",
                "created_at": memory.get("created_at"),
                **(memory.get("metadata") or {})
            }
        )
        print(f"Imported: {content[:50]}...")
    except Exception as e:
        print(f"Failed: {e}")

print("Migration complete!")

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API Migration Reference

Here’s how common Mem0.ai operations map to Supermemory:

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Adding Memories

from mem0 import MemoryClient

client = MemoryClient(api_key="...")
client.add(
    messages="User prefers dark mode",
    user_id="alice"
)

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Searching Memories

results = client.search(
    query="user preferences",
    user_id="alice"
)

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Getting All Memories

memories = client.get_all(
    user_id="alice"
)

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Deleting Memories

client.delete(memory_id="mem_123")

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Using Memory Router (Easiest Migration)

For the simplest migration path, use Supermemory’s Memory Router which requires minimal code changes: 
from openai import OpenAI
from mem0 import MemoryClient

# Two separate clients needed
openai = OpenAI(api_key="sk-...")
memory = MemoryClient(api_key="mem0_key")

# Manual memory management
context = memory.search("user preferences", user_id="alice")
messages = [
    {"role": "system", "content": f"Context: {context}"},
    {"role": "user", "content": "What are my preferences?"}
]

response = openai.chat.completions.create(
    model="gpt-5",
    messages=messages
)
For enterprise migrations, contact us for assistance.

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Next Steps

  1. Explore how Supermemory works
  2. Read the quickstart and add and retrieve your first memories
  3. Connect to Google Drive, Notion, and OneDrive with automatic syncing
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