Mem0
by Mem0
Universal memory layer for AI agents and applications
Overview
Mem0 provides persistent memory for AI agents. Enables agents to remember context across sessions with personalized experiences.
Key Statistics
Overall Rating
4.0/5
GitHub Stars
25,000
Last Updated
2025-10
Version
0.1.45
Features
Memory management
Memory management capabilities
Personalization
Personalization capabilities
Context retention
Context retention capabilities
Multi-user
Multi-user capabilities
Getting Started
Installation
pip install mem0ai
Quick Start
Install mem0 and add memory
Code Example
from mem0 import Memory
Pros & Cons
Advantages
Best-in-class memory management for agents
Easy integration with existing agents
Apache 2.0 license
Good documentation
Mem0 Platform for managed memory
Limitations
Focused only on memory layer not full agents
Requires separate agent framework
Platform pricing for managed service
Still relatively new
Technical Details
Primary Language
Python
Supported Languages
License
Apache-2.0
Enterprise Ready
No
Community Size
Large
Pricing
Open Source + Cloud
Free open source. Mem0 Platform: Usage-based pricing, free tier available
Performance Metrics
easeOfUse
4/5
scalability
4/5
documentation
4/5
community
4/5
performance
4/5
Common Use Cases
Personalized AI assistants
Context-aware chatbots
Multi-session agent memory
User preference learning
Long-term conversation context