Mem0

Overview

Mem0 is an open-source memory layer that provides intelligent, self-improving memory for AI applications. It enables developers to add persistent memory to LLM applications with minimal setup, supporting both cloud-hosted and self-hosted deployments.

Key Features

**Intelligent Memory**: Automatically extracts and stores relevant information from conversations

**Multi-level Memory**: Supports user, session, and agent-level memory scopes

**Hybrid Storage**: Combines vector, graph, and key-value storage for optimal retrieval

**Self-improving**: Memory quality improves over time through usage patterns

**Cross-platform SDKs**: Python and TypeScript support

When to Use Mem0

Mem0 is ideal for:

Building AI assistants that remember user preferences

Customer support bots that maintain conversation history

Personalized AI applications

RAG applications needing persistent context

Pros

Easy to get started with hosted option

Open-source with self-hosting option

Active development and community

Good documentation

Automatic memory extraction

Cons

Relatively new platform

Limited graph memory features in open-source version

Hosted version has usage limits on free tier

Getting Started

from mem0 import Memory

m = Memory()

# Add a memory
m.add("I prefer Python over JavaScript", user_id="alice")

# Search memories
results = m.search("programming language preference", user_id="alice")

Pricing

**Open Source**: Free, self-hosted

**Starter**: Free tier with limits

**Pro**: $99/month with higher limits

**Enterprise**: Custom pricing

Memory Types