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Letta vs Memori

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

Compared from listings verified as of

Letta

Memory

Stateful agents with structured memory. Successor to MemGPT.

View Letta

Memori

Memory

SQL-native memory engine for LLMs and AI agents.

View Memori

At a glance

Feature comparison of Letta and Memori
AttributeLettaMemori
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)API, CLI, macOS, Windows, LinuxAPI
Model supportBYO key / modelBYO key / model
Vendor (differs)LettaMemoriLabs

The honest brief

Letta

The productized MemGPT successor — agents edit their own memory blocks (memory-as-OS) to manage a finite context window.

  • Self-editing agent memory
  • Open source, model-agnostic
  • REST APIs + multi-language SDKs
  • Reference architecture for memory
  • Developer-focused, not no-code
  • Memory model has a learning curve
  • Younger, evolving framework

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