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Memobase vs Supermemory

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

Supermemory

Memory

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

View Supermemory

At a glance

Feature comparison of Memobase and Supermemory
AttributeMemobaseSupermemory
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)APIAPI, Web
Model support (differs)BYO key / modelModel-agnostic
Vendor (differs)MemobaseSupermemory

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

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