We're hiring! Come build with us

The Mem0 Alternative

Why Teams Switch from Mem0 to Zep

Start Building

Far More Accurate, Faster, More Efficient

Zep outperforms Mem0 across the board on the LoCoMo benchmark. Multiple Zep configurations show the flexibility to optimize for your specific accuracy, latency, and token efficiency needs.

Accuracy vs Retrieval Latency

Zep is 17% more accurate and 60% faster

118204290376462547Latency (ms)62%67%73%78%83%Accuracy (%)Zep 30/30Zep 20/20Zep 15/5Zep 10/2Zep 5/2Mem0gMem0

Config format: edge_limit/node_limit

Accuracy vs Context Size

Zep is 17% more accurate and uses 45% fewer tokens

27810541830260633824158Tokens/Query62%67%73%78%83%Accuracy (%)Zep 30/30Zep 20/20Zep 15/5Zep 10/2Zep 5/2Mem0gMem0

Config format: edge_limit/node_limit

Mem0 results published by Mem0: Chhikara et al. (2025), arXiv:2504.19413. LoCoMo benchmark: Maharana et al. (2024), ACL 2024.

Complete Context Engineering vs. Basic Memory Storage

Move beyond basic memory storage. Zep provides complete context engineering that combines agent memory, Graph RAG, and automated context assembly with temporal knowledge graphs and business data integration.

Zep: Complete Context Engineering

  • Agent Memory: Temporal knowledge graphs that track fact evolution over time
  • Graph RAG: Semantic, keyword, and graph traversal search combined
  • Automated context assembly: Relevant context delivered to LLMs automatically
  • Custom entity schemas: Domain-specific entities and relationships
  • Enterprise data ingestion: Native JSON, text, and message processing
  • Multi-level memory: User, group, and session-level graphs

Mem0: Basic Memory Storage

  • Three-store system: Graph (paid add-on), vector, and key-value stores
  • Basic relationships: Simple entity connections via custom prompts
  • Mutated memories: In-place updates with no versioning or history
  • Conversation-focused: Chat history and user preferences
  • Manual retrieval: No automated context assembly

Far More Accurate, Faster, More Efficient

Zep leads on the LoCoMo benchmark with single-shot retrieval. No slow agentic loops. Multiple configurations let you optimize for accuracy, latency, and token efficiency.

80.32%@189ms
accuracy in a single retrieval call
Read the Paper

Accuracy vs Retrieval Latency

LoCoMo Benchmark results for differing Zep configs

119151182214246277Latency (ms)65%69%74%79%83%Accuracy (%)Zep 5/2Zep 10/2Zep 15/5Zep 20/20Zep 30/30

Config format: edge_limit/node_limit

Accuracy vs Context Size

LoCoMo Benchmark results for differing Zep configs

2786811085148918932297Tokens/Query65%69%74%79%83%Accuracy (%)Zep 5/2Zep 10/2Zep 15/5Zep 20/20Zep 30/30

Config format: edge_limit/node_limit

Feature Comparison

What you get with each platform

FeatureZepMem0
Temporal Memory
Bi-temporal facts with validity periods
Memories mutated in-place. No versioning or history.
Context Assembly
Automated relevant context generation
Manual memory retrieval required
Custom Schemas
Domain-specific entities and relationships
Fixed schema with custom extraction prompts
Business Data
Native JSON, text, message ingestion
Limited to conversational data

Enterprise Security

Security and compliance comparison

Zep Enterprise Security

  • SOC 2 Type II certified

    Comprehensive security framework with annual audits

  • HIPAA compliant

    Ready for healthcare and sensitive data deployments

  • Self-hosted deployment

    Full data control with on-premises options

Mem0 Security

  • SOC 2 Type I certified

    Initial security assessment completed

  • HIPAA-ready

    Compliance ready configuration

  • Deployment options

    Cloud and self-hosted options available

Zep is one of the most exciting things I've seen for real-world agent use cases in a long time. Their innovative approach is truly game-changing.
Ken Collins
Ken Collins
VP of Product, Torq and GenAI Expert
Zep just introduced a game-changing way for AI agents to remember and learn. Unlike other systems that only retrieve static documents, Zep uses a temporal knowledge graph to combine conversations and structured business data, keeping track of how things change over time.
Lior Sinclair
Lior Sinclair
Founder/CEO, AlphaSignal
Zep AI was instrumental in enabling the Sidekick's personalized experience through dynamic memory retrieval. Their innovative tech stack is powering groundbreaking projects like ArtPrize 2024, taking personalized AI experiences to the next level.
Mark Losey
Mark Losey
CTO at Flockx
Zep AI empowers AI systems to think and remember like humans. By organizing memories into structured episodes and extracting key insights, it builds smarter, more intuitive AI agents that revolutionize how businesses harness intelligence.
Vijay Morampudi
Vijay Morampudi
Senior Director - AI CoE, Axtria
Zep is one of the most exciting things I've seen for real-world agent use cases in a long time. Their innovative approach is truly game-changing.
Ken Collins
Ken Collins
VP of Product, Torq and GenAI Expert
Zep just introduced a game-changing way for AI agents to remember and learn. Unlike other systems that only retrieve static documents, Zep uses a temporal knowledge graph to combine conversations and structured business data, keeping track of how things change over time.
Lior Sinclair
Lior Sinclair
Founder/CEO, AlphaSignal
Zep AI was instrumental in enabling the Sidekick's personalized experience through dynamic memory retrieval. Their innovative tech stack is powering groundbreaking projects like ArtPrize 2024, taking personalized AI experiences to the next level.
Mark Losey
Mark Losey
CTO at Flockx
Zep AI empowers AI systems to think and remember like humans. By organizing memories into structured episodes and extracting key insights, it builds smarter, more intuitive AI agents that revolutionize how businesses harness intelligence.
Vijay Morampudi
Vijay Morampudi
Senior Director - AI CoE, Axtria

When to Choose Zep as Your Mem0 Alternative

Zep works better when you need more than basic memory

Choose Zep If You Need:

  • Facts that change over time:

    Track how information evolves with historical context preservation

  • Business data integration:

    Connect CRM, support tickets, billing data, and other enterprise systems

  • Custom knowledge modeling:

    Define entities and relationships specific to your domain

  • Automatic context assembly:

    Relevant context delivered to your LLMs without manual retrieval

  • Enterprise deployment:

    SOC 2 Type II compliance with professional support

Stick with Mem0 If You Need:

  • Simple conversational memory:

    Basic chat history and user preferences storage

  • Quick setup:

    Minimal configuration with basic integration

  • Static information:

    Data that does not change over time

Migrate from Mem0 to Zep

Switch to Zep with migration support and data transfer guidance.

Data Transfer

Step-by-step instructions for migrating your existing memory data

Schema Mapping

Map your data structures to Zep's temporal knowledge graph format

Implementation Support

Direct engineering support during your migration process

Performance Tuning

Optimize your new Zep deployment for your specific use case

Both platforms solve AI memory challenges, but with different approaches. Mem0 provides basic memory storage with hybrid datastores. Zep delivers complete context engineering with temporal knowledge graphs, automated context assembly, and business data integration.

Need more than basic memory? Zep provides temporal reasoning, Graph RAG, and automated context assembly in a single platform.

Ready to Try the Mem0 Alternative?

Deploy temporal knowledge graphs in minutes with Zep's complete context engineering platform.

Works with your stack
LangChain • LangGraph • OpenAI • Anthropic • Any LLM framework