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mem0 vs Memori

A side-by-side comparison of mem0 and Memori, 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

Memori

Memory

SQL-native memory engine for LLMs and AI agents.

View Memori

At a glance

Feature comparison of mem0 and Memori
Attributemem0Memori
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)API, CLIAPI
Model supportBYO key / modelBYO key / model
Vendor (differs)Mem0MemoriLabs

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

Memori

Stores agent memory in ordinary SQL (Postgres/MySQL/SQLite) with one line of code — no separate vector database to run or pay for.

  • Persistent memory in standard SQL databases
  • LLM-agnostic; bring any provider key
  • No vendor lock-in; data stays in your DB
  • Dual-mode working + long-term recall
  • Younger than Mem0/Zep, smaller ecosystem
  • SQL-first design may not suit graph use cases
  • Self-hosting means you run the database