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Graphlit vs Zep

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

Compared from listings verified as of

Graphlit

Memory

One API for AI agent memory: ingest, extract, store, retrieve.

View Graphlit

Zep

Memory

Temporal knowledge-graph memory for AI agents.

View Zep

At a glance

Feature comparison of Graphlit and Zep
AttributeGraphlitZep
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)API, WebAPI
Model supportMulti-modelMulti-model
Vendor (differs)GraphlitZep

The honest brief

Graphlit

Graph-native context layer that links ingested content into an entity graph plus stateful memory, not just vector chunks.

  • One API for ingest, extract, store, retrieve
  • Multimodal (docs, audio, video, images)
  • Graph-based entity linking + hybrid search
  • Event-driven webhooks for reactive agents
  • More infra/overhead than plain RAG
  • Overkill for simple doc Q&A
  • Cloud-only managed service
  • Graph/timeline modeling adds complexity

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