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Honcho vs Supermemory

A side-by-side comparison of Honcho and Supermemory, 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

Supermemory

Memory

Memory API that gives any AI agent long-term recall.

View Supermemory

At a glance

Feature comparison of Honcho and Supermemory
AttributeHonchoSupermemory
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)API, CLIAPI, Web
Model supportModel-agnosticModel-agnostic
Vendor (differs)Plastic LabsSupermemory

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

Supermemory

MIT-licensed memory engine you self-host or call as a managed API — one recall endpoint across any model.

  • MIT-licensed, self-host or managed
  • Single recall API across any model
  • Connectors: Drive, Gmail, Notion
  • Ships MCP server and SDKs
  • Younger project, evolving API
  • Smaller track record than peers
  • Self-hosting needs infra work