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Honcho vs Zep

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

Compared from listings verified as of

Honcho

Memory

Continual learning memory for stateful agents. Better context, fewer tokens.

View Honcho

Zep

Memory

Temporal knowledge-graph memory for AI agents.

View Zep

At a glance

Feature comparison of Honcho and Zep
AttributeHonchoZep
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
Deployment (differs)HybridCloud
Platforms (differs)API, CLIAPI
Model support (differs)Model-agnosticMulti-model
Vendor (differs)Plastic LabsZep

The honest brief

Honcho

Peer-centric memory models what any party knows about another, extracting conclusions rather than raw chunks.

  • Open-source memory infrastructure
  • Peer model for human/agent/idea memory
  • Reasoning-first, derives durable facts
  • Strong long-memory benchmark scores
  • Managed API or self-hosted FastAPI
  • Young, evolving ecosystem
  • Self-host stack (Postgres/Redis) to run
  • Background inference adds LLM cost
  • Smaller community than incumbents

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