Backed by

The Memory Layer for your AI Apps

Mem0 is a self-improving memory layer for LLM applications, enabling personalized AI experiences that save costs and delight users.

Trusted by developers from

Key features

Key features

Key features

What is Mem0

Mem0 remembers user preferences, adapts to individual needs, and continuously improves over time,

Enhance Future Conversations
Enhance Conversations

Build smarter AI that learns from every interaction, providing context-rich responses without repetitive questions.

Save Money

Reduce LLM costs by up to 80% through intelligent data filtering, sending only the most relevant information to AI models.

Improve AI Responses

Deliver more accurate and personalized AI outputs by leveraging historical context and user preferences.

Easy Integration

Seamlessly enhance your existing AI solutions with Mem0's memory layer - compatible with OpenAI, Claude, and more.

Use cases

Use cases

Use cases

Perfect For Your Project

We're developers building tools for developers. Our mission: to make AI applications that understand context and remember users, creating more natural and efficient interactions.

Customer Support
Customer Support

Enhance customer satisfaction with chatbots that remember past interactions, reducing repetition and speeding up resolution times

Enhance customer satisfaction with chatbots that remember past interactions, reducing repetition and speeding up resolution times

Personal AI Companion
Personal AI Companion

Create AI companions that truly know you, recalling preferences and past conversations for more meaningful interactions.

Create AI companions that truly know you, recalling preferences and past conversations for more meaningful interactions.

AI Agents
AI Agents

Develop smarter AI agents that learn from each interaction, becoming more personalized and effective over time

Develop smarter AI agents that learn from each interaction, becoming more personalized and effective over time

E-Commerce
E-Commerce

Increase sales with AI that remembers customer preferences, providing tailored product recommendations that feel personal

Increase sales with AI that remembers customer preferences, providing tailored product recommendations that feel personal

Two Powerful Ways

Two Powerful Ways

Two Powerful Ways

Leverage Mem0 Technology

Choose the integration that fits your needs: fully managed for convenience or self-hosted for complete control.

Mem0 Platform

Effortless Integration, Maximum Performance

Our fully managed platform offers a seamless way to enhance your AI applications with Mem0's memory capabilities. Ideal for teams looking for quick deployment and hassle-free maintenance.

Mem0 Open Source

Unlimited Customization, Complete Control

For teams that need full flexibility, our open-source version allows you to tailor Mem0 to your exact requirements. Self-host on your infrastructure for maximum data control and customization.

QUICK-START

QUICK-START

QUICK-START

Get Started Today

Empower Your AI applications with Mem0's Intelligent Memory Layer in Minutes

Python

JavaScript

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")

# Store user preference
client.add([
{"role": "user", "content": "I love spicy food."},
{"role": "assistant", "content": "Noted! You enjoy spicy cuisine."}
], user_id="user123")

# Later, retrieve and use the preference
query = "What food does the user like?"
memory = client.search(query, user_id="user123")
print(f"Retrieved: {memory}")
# Output: Retrieved: The user loves spicy food.

Python

JavaScript

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")

# Store user preference
client.add([
{"role": "user", "content": "I love spicy food."},
{"role": "assistant", "content": "Noted! You enjoy spicy cuisine."}
], user_id="user123")

# Later, retrieve and use the preference
query = "What food does the user like?"
memory = client.search(query, user_id="user123")
print(f"Retrieved: {memory}")
# Output: Retrieved: The user loves spicy food.

Python

JavaScript

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

from mem0 import MemoryClient

client = MemoryClient(api_key="your-api-key")

# Store user preference
client.add([
{"role": "user", "content": "I love spicy food."},
{"role": "assistant", "content": "Noted! You enjoy spicy cuisine."}
], user_id="user123")

# Later, retrieve and use the preference
query = "What food does the user like?"
memory = client.search(query, user_id="user123")
print(f"Retrieved: {memory}")
# Output: Retrieved: The user loves spicy food.

TESTIMONIALS

TESTIMONIALS

TESTIMONIALS

What Our Users Are Saying

Discover how Mem0 is transforming AI app development across industries. Our users share their experiences of enhanced performance, reduced costs, and improved user satisfaction.

FAQ

Frequently Asked Questions

What is the difference between Mem0 Open-Source and Platform?

What is the pricing?

How do I get started?

What is the difference between Mem0 Open-Source and Platform?

What is the pricing?

How do I get started?

What is the difference between Mem0 Open-Source and Platform?

What is the pricing?

How do I get started?

Add Memory to Your AI Apps,
in a weekend

© 2024 Mem0. All rights reserved.

© 2024 Mem0. All rights reserved.

© 2024 Mem0. All rights reserved.