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Pieces vs Supermemory

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

Compared from listings verified as of

Pieces

Memory

On-device AI memory and copilot that recalls your work context.

View Pieces

Supermemory

Memory

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

View Supermemory

At a glance

Feature comparison of Pieces and Supermemory
AttributePiecesSupermemory
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
License (differs)ProprietaryOpen core
Deployment (differs)LocalHybrid
Platforms (differs)macOS, Windows, Linux, CLI, VS Code extension, Browser extensionAPI, Web
Model support (differs)Multi-modelModel-agnostic
Vendor (differs)PiecesSupermemory

The honest brief

Pieces

Captures a rolling ~9-month work timeline on-device and air-gapped by default, so memory questions never leave your machine.

  • Captures context across all your apps
  • Long-Term Memory of work context
  • Cloud or local LLMs, or BYO key
  • Plugs into VS Code, JetBrains, browser
  • Background capture is resource-heavy
  • Developer-centric, niche audience
  • Memory accuracy varies across apps

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