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memU vs Zep

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

Compared from listings verified as of

memU

Memory

Memory framework for long-running, always-on AI agents.

View memU

Zep

Memory

Temporal knowledge-graph memory for AI agents.

View Zep

At a glance

Feature comparison of memU and Zep
AttributememUZep
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
Deployment (differs)HybridCloud
Platforms (differs)API, WebAPI
Model support (differs)Model-agnosticMulti-model
Vendor (differs)NevaMind AIZep
Capabilities (differs)
  • Agent memory
  • Vector search
  • Agent memory
  • Knowledge graph

The honest brief

memU

Stores memories as a hierarchical file system rather than only vector embeddings, cutting context tokens roughly 10x for always-on agents.

  • Built for proactive, always-on agents
  • Semantic recall via vector indexing
  • Self-host or hosted cloud API
  • Multimodal memory ingestion
  • Younger project, evolving API
  • Smaller ecosystem than vector DBs
  • Hosted pricing details limited

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

When to pick which

Both cover Agent memory.

Pick memU if you need Vector search.

  • Vector search (secondary capability)

Pick Zep if you need Knowledge graph.

  • Knowledge graph (secondary capability)

They also differ on:

License
Open core · Proprietary
Deployment
Hybrid · Cloud
Platforms
API, Web · API