# Mem0 vs Zep: Which AI Memory Platform Is Better for Production Agents?

If you are looking for a Zep alternative focused on production AI agent memory, Mem0 is built for persistent memory across users, sessions, agents, and organizations, with stronger published benchmark results and token-efficient retrieval.

Published Date: Jul 8, 2026

Open source  
Managed cloud  
Free Tier  
PRICING  
self hosting  
LongMemEval  
LoCoMo  
BEAM 1M / 10M  
DMR  
agent harness  
Memory scopes  
Local / MCP support  
SERVICE AGNOSTIC

### Mem0
- On managed cloud
- Starting from $19/month ([SEE PRICING](/content/pricing/index.html))
- 94.4
- 92.5
- 64.1 / 48.6
- available in openclaw & Hermes agent
- Session, User, Agent, Org

### Zep
- (CE)
- Limited Credits
- STARTING from $125/month
- Zep CE deprecated April 2025
- 71.2 (GPT-4o)
- 80.32 @ 189ms / up to 83
- 94.8
- Session, User

## Benchmarks

Mem0’s token-efficient memory algorithm leads across three major memory evaluations: LongMemEval, LoCoMo, and BEAM. The key difference is not only accuracy, but accuracy under a practical token budget.

#### LongMemEval

Long-horizon recall and temporal reasoning across multi-session chat.

**MEM0**

### 94.4

**Zep**

### 71.2

#### LoCoMo

Naturalistic long conversation memory across sessions and question categories.

**MEM0**

### 92.5

**Zep**

### 83

#### BEAM

Scale test for recall across 1M item memory stores.

**MEM0**

### 64.1

**Zep**

### ~

### Why Mem0 Wins for Production Agent Memory

Mem0 is stronger when your core problem is accurate, persistent memory for AI agents in production.

The biggest advantage is token efficiency. Mem0’s latest memory algorithm reaches high benchmark accuracy while averaging under 7,000 tokens per retrieval call. Instead of relying on large context windows or full-history injection, Mem0 extracts, stores, links, and retrieves only the memories that matter.

## When to Choose Mem0 Over Zep

**Zep is strong for graph-first memory infrastructure. Mem0 wins when you need accurate, persistent agent memory across users, sessions, and AI agents, backed by stronger benchmark results.**

### Choose Mem0 if:

- You need AI agent memory optimized for long-horizon recall, temporal reasoning, and knowledge updates
- You want persistent memory across users, sessions, agents, and organizations, not just conversation-level context
- You need high benchmark accuracy without relying on large context windows for every retrieval
- You need a framework-agnostic memory layer that integrates into your existing agent stack

### CHOOSE Zep IF:

- You need a graph-first memory system built around entities, relationships, and temporal knowledge graphs
- Your application depends on external knowledge ingestion as much as conversational AI memory
- You are building around a graph-native memory architecture and want direct graph-level control

## For developers who want proof, not promises.

**80K users**

#### “Mem0 transformed our AI companion in just one day of integration, delivering personalized support that remembers user journeys and significantly reduced our costs. It's been one of our highest-ROI decisions.”

**Koby Conrad**  
CEO, Sunflower

#### Mem0 allowed us to unlock true personalized tutoring for every student, and it took us just a weekend to integrate.

**Michael Tong**  
CTO, RevisionDojo

**Weekend integration**

#### Mem0 turned our AI tutors into true learning companions - tracking each student’s struggles, strengths, and learning style across the entire platform and tools.

**Abhi Arya**  
Co-Founder, Opennote

**40% token reduction**

## Install In Minutes

**Integrate Mem0 in a few lines of code with Python and JavaScript SDKs plus REST, so you ship memory without touching infra.**

### Python

### node js

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# Step 1 — Install the SDK (run in your terminal, not in Python):#pip install mem0ai  # Step 2 — Save this as mem0_quickstart.py and run with: python mem0_quickstart.pyimport osfrom mem0 import MemoryClient  # Set your API key (get one at https://app.mem0.ai)client = MemoryClient(api_key=os.getenv("MEM0_API_KEY", "your-api-key-here"))  # Add a memorymessages = [    {"role": "user", "content": "I'm a vegetarian and allergic to nuts."},    {"role": "assistant", "content": "Got it! I'll remember your dietary preferences."},]client.add(messages, user_id="user123")  # Search memoriesresults = client.search(    "What are my dietary restrictions?",    user_id="user123",)print(results)
```

## AI memory that adapts to your domain

Mem0 helps AI remember what matters.

- Healthcare
- Education
- E-commerce
- Customer Support
- Sales & CRM

### Smart Patient Care Assistant

Remembers patient history, allergies, and treatment preferences across visits therefore providing personalized care that improves with every interaction.

### Chronic Condition Companion

Learns what works (and what doesn’t) for the patient over time, offering thoughtful reminders and insights tailored to each patient’s journey.

### Therapy Progress Tracker

Builds on previous sessions to deliver consistent, context-aware mental health support. Creates trust through conversations that remember what matters to each patient.

## Built for enterprise  Designed for control

Memory at scale is infrastructure. Mem0 gives enterprise teams governance, reliability, and full observability so engineers spend time building, not recovering lost context.

### Governance

SOC 2, HIPAA, BYOK, zero-trust. Your data stays yours.

### Portable

Kubernetes, private cloud, or air-gapped. Same API everywhere.

### Auditable

Every read and write logged. Know what, who, and when.

We take security and privacy seriously. Mem0 is SOC 2 (Type 1) and HIPAA compliant, ensuring your data is protected with industry-standard safeguards at every step.