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Memobase vs Zep

A side-by-side comparison of Memobase and Zep, two Memory tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Memobase

Memory

User profile-based long-term memory for LLM applications.

View Memobase

Zep

Memory

Temporal knowledge-graph memory for AI agents.

View Zep

At a glance

Feature comparison of Memobase and Zep
AttributeMemobaseZep
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
Deployment (differs)HybridCloud
PlatformsAPIAPI
Model support (differs)BYO key / modelMulti-model
Vendor (differs)MemobaseZep

The honest brief

Memobase

Models memory as a structured user profile plus timestamped event timeline — tops LOCOMO temporal-reasoning (~85%).

  • Distills chats, not raw embeddings
  • Strong temporal-reasoning benchmark
  • Low-latency on FastAPI/Postgres/Redis
  • Python/Node/Go SDKs + MCP server
  • Smaller community than mem0/Zep
  • Profile schema needs upfront design
  • Less production-server tooling than Zep
  • Newer, less battle-tested

Zep

Stores a temporal knowledge graph (via OSS Graphiti) that versions how facts change over time, not flat snapshots.

  • Open-source Graphiti engine (Apache-2.0)
  • Managed Zep Cloud option
  • Pulls in chat + business data
  • Long-term context for agents
  • Graph approach has learning curve
  • Cloud is credit-based pricing
  • Heavier than simple vector memory
  • Newer ecosystem