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mem0 vs Pieces

A side-by-side comparison of mem0 and Pieces, two Memory tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

mem0

Memory

Long-term memory layer for AI agents. Self-hostable.

View mem0

Pieces

Memory

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

View Pieces

At a glance

Feature comparison of mem0 and Pieces
Attributemem0Pieces
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
Deployment (differs)HybridLocal
Platforms (differs)API, CLImacOS, Windows, Linux, CLI, VS Code extension, Browser extension
Model support (differs)BYO key / modelMulti-model
Vendor (differs)Mem0Pieces

The honest brief

mem0

Fastest path to agent memory — extracts distilled facts with a tiny token footprint and the biggest community.

  • Quick to adopt, broad framework integrations
  • Stores distilled facts, small footprint
  • Vector + graph + key-value storage
  • Open-source with usable free tier
  • Weaker on temporal/state-change queries
  • LLM call on every write adds latency
  • Test deletion/conflict handling for regulated use
  • More library than full memory server

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