MemorySync vs Zep
An objective architectural comparison of MemorySync and Zep to help you understand the right memory infrastructure for your AI agents.
Capabilities side by side
| Capability | MemorySync | Zep |
|---|---|---|
| Data Architecture | Enterprise Tenant Scoping | Graph-Based User Memory |
| Latency | Optimized for Scale | Optimized (<200ms) |
| Identity & Access | SAML, OIDC | Available |
| Compliance | Deletion Tombstones | Standard |
| Access Control | Granular RBAC | Basic |
| Event Architecture | Full Webhooks | Limited |
| Client Ecosystem | Official SDKs | Official SDKs |
| Management | Fully Managed | Managed & Self-Hosted |
Why teams choose MemorySync
- Provides a highly sophisticated, temporally-aware knowledge graph that understands when facts were true.
- Separates the concept of "Sessions" (individual conversations) from the persistent "User" memory graph.
- Extremely low-latency semantic retrieval optimized for conversational agents.
- Native webhook lifecycle integration for building event-driven architectures.
Moving from Zep
- 1
Extract entity graphs and episodic memory from Zep.
- 2
Map Zep Users to MemorySync's Tenant/Project/User hierarchy.
- 3
Import the payload via MemorySync APIs.
- 4
Update your application logic to utilize MemorySync SDKs.
Common questions
Is Zep strictly session-based?
No. Zep maintains a persistent, user-centric knowledge graph that synthesizes information across all of a user's individual sessions.
How does MemorySync differ architecturally from Zep?
MemorySync focuses heavily on strict B2B multi-tenant isolation and enterprise governance (tenants, projects, and RBAC), while Zep focuses heavily on complex graph relationships and temporal reasoning for individual agents.
Comparisons
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