Trusted by:

Personalizing your AI Agent. Which memory layer is suitable for production?

Understand key differences in performance, scalability, security, and enterprise readiness to pick the best long-term memory for your AI Agents.

Zep
Mem0
Proven Retrieval Accuracy (benchmarked)
✅ 94.8% on DMR & 71.2% LongMemEval benchmarks
(Read the paper)
❌ No published accuracy benchmarks
Full Temporal Knowledge Graph
✅ Rich temporal context, structured historical data
❌ Limited. Graph capabilities are a bolt-on.
Business Data Integration
✅ Supports business data ingestion & dynamic updates
❌ Limited business data handling, focus on chat history
Low Latency Retrieval (benchmarked)
✅ Benchmarked 90% latency reduction
(Read the paper)
✅ Low latency claimed when not using graph. No published benchmarks.
Auditability & Data History Retention
✅ Non-lossy, full historical data retained
⚠️ Partial, focuses on recent interactions
SOC 2 Type 2 Certified & Audited
✅ Certified, Pen-tested
❌ No formal security certifications
Enterprise-Level Scalability
✅ Millions of users; managed or self-hosted deployment
⚠️ No published benchmarks or case studies
SDK and Language Support
Python, TypeScript, Go
Python, TypeScript

Zep is Ready for Enterprise Production and Scale

Effortlessly Scale to Millions of Users and Facts

Zep retrieves user memories instantly, even as your user count and knowledge graph grows.

SOC 2 Type 2 and Privacy Compliance

Be assured with SOC 2 Type II compliance. Zep also offers privacy controls to support CCPA and GDPR compliance.

Cloud Service or BYOC Deployment

Sign up for Zep's cloud service, or deploy on your own infrastructure to meet your security and privacy needs.

Powered by Zep's Temporal Knowledge Graph

Zep Integrates With Your Business  

Send Zep a stream of chat messages and business data, and it'll intelligently fuse them into a Knowledge Graph—giving your agent accurate, relevant user facts in a single API call.

Sign Up
Easily Drop into LangChain

Zep's ChatHistory class makes production-ready personalization simple for any LangChain Expression Language or LangGraph app.

Enable Agent Temporal Reasoning

Build Agents That Continuously Learn & Adapt

As users interact with your agent and business, Zep marks outdated facts as invalid, tracks changes, and retains history—enabling agents to reason about evolving user states.

Sign Up
Easily Drop into LangChain

Zep's ChatHistory class makes production-ready personalization simple for any LangChain Expression Language or LangGraph app.

Framework and Platform Agnostic

Develop agents in Python, TypeScript, or Go - with any framework or none at all.

Python

TypeScript

Go

LangChain

AutoGen