94.7%
Zep accuracy
Zep94.7%
mem091.6%
The mem0 alternative
Agent memory built for production
Zep vs Mem0: Higher accuracy. Faster retrieval. Fewer tokens. Plus the customization, governance, and scale that production agents need.
Trusted by teams building production agents
Benchmarks
Zep: More accurate, far faster, more token efficient
Zep and mem0 run on the same long-running memory benchmarks: LoCoMo (1,540 questions) and LongMemEval (500 questions). Same reader prompts. Same judge. The retrieval stack is what varies.
LoCoMo
1,540 questions · long-running memory35×faster
at p50 · 87 ms vs 3,060 ms
Zep87 ms
mem03,060 ms
17%smaller
5,760 vs 6,956 tokens
Zep5,760 tok
mem06,956 tok
Zep wins every category: multi-hop, temporal, open-domain, single-hop.
LongMemEval
500 questions · top-k retrieval90.2%
Zep accuracy
Zep90.2%
mem090.4% top_50
24×faster
at p50 · 104 ms vs 2,470 ms
Zep104 ms
mem02,470 ms
35%smaller
4,408 vs 6,787 tokens
Zep4,408 tok
mem06,787 tok
Same accuracy at comparable retrieval depth, on a third less context and an order of magnitude faster.
See the full methodology and resultsMem0 baseline numbers published by mem0 at github.com/mem0ai/memory-benchmarks.
Beyond chat memory
Mem0 stores facts from conversation. Zep ingests every source the agent touches.
Any data source
Chat, JSON, app events, documents, business data. Zep ingests through a single SDK and unifies it in one graph per subject — user, customer, team, or topic.
Custom entities and edges
Define the entity types and relationships your domain needs. Zep extracts and links them at ingest, with your schema enforced.
Temporal at the data model
Every fact carries timestamps for when it became valid and when it stopped being valid. Point-in-time queries follow from the model, not from custom logic built above it.
Governed at the substrate
Govern context across thousands of agents, users, and context sources.
Access control
Attribute-based access control
Control what context agents can access and what they can do with it.
Retention
Retention policies
Retention is policy-driven. Data expires on the schedule you set. Legal hold blocks deletion when compliance requires it.
Audit
Audit and API logs
Detailed logs of every request and policy decision, ready for audit.
Enterprise scale
Built for enterprise scale.
Zep is built on the Context Lake — millions of context graphs per deployment, served back to agents in milliseconds. In production at Fortune 500 deployments.
Sub-200ms retrieval at scale
Hot graphs held in memory, with vector and BM25 indexes alongside. One call, one ranked answer.
SOC 2 Type II and HIPAA
Compliance posture, attestation reports, and controls in the Trust Center.
Deploy your way
Managed cloud, your own keys, or fully inside your VPC. The trust boundary moves with the deployment.
We can easily see Zep becoming a de facto partner in this layer of the enterprise agent stack.
— Melissa Incera, S&P Global Market Intelligence
When to choose
A clear fit, both ways.
Zep
Choose Zep when you need:
- Facts that change over time, with point-in-time queries
- Business data integrated alongside chat — CRM, support, billing, events
- Custom entities and relationships specific to your domain
- Retrieval that holds at sub-200ms across millions of subjects
- Enterprise deployment with SOC 2 Type II, HIPAA, and BYOC
mem0
Stay with mem0 when:
- Basic chat-history memory is enough
- You don't need temporal validity or business data integration
- You're prototyping and quick setup matters more than production characteristics
Migration
Migrate to Zep.
Data transfer
Step-by-step migration of your existing memory data.
Schema mapping
Map your structures to Zep's temporal graph format.
Engineering support
Direct support from Zep's team during migration.
Performance tuning
Configure retrieval depth, scopes, and budgets for your workload.