🤖 AI AgentsOpen SourceFree
Mem0
Long-term memory for agents
4.5/ 5⭐ 33,000 GitHub starsPythonApache-2.0
📋 Overview
Mem0 provides a long-term memory layer for AI agents enabling persistent user memories across conversations. It provides a comprehensive solution for modern AI workflows. The tool is designed for both beginners and advanced users. Mem0 is a memory management layer for AI agents that enables persistent, personalized interactions. It stores user preferences and conversation history across sessions, allowing agents to provide more relevant and contextual responses.
✨ Key Features
- •Persistent user memories
- •Vector search + graph storage
- •Works with any agent framework
- •Active community and development
- •Comprehensive documentation
- •Production-ready features
🎯 The Problem It Solves
AI agents forget everything between sessions.
🔧 How It Works
Integrate Mem0 as a memory layer with vector search and graph storage.
🚀 Installation & Quick Start
Installation
pip install mem0aiQuick Start
- pip install mem0ai
- from mem0 import Memory
- m = Memory()
- m.add('I love pizza', user_id='alice')
- m.get_all(user_id='alice')
✅ Pros
- •Simple API
- •Graph memory
- •Works with any framework
- •Active community
- •Comprehensive documentation
- •Production-ready
❌ Cons
- •Still maturing
- •Learning curve for new users
- •Documentation could be improved
💬 Practitioner Verdict
“Standard memory layer.”
1
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
📊 Specifications
- Language
- Python
- License
- Apache-2.0
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
Free OSS. Cloud $10/mo.
👥 Community Health
Stars33,000
Forks4,125
Contributors660
Health Score9/10
🏷️ Tags
Open SourceFree