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Letta vs mem0

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

mem0

Memory

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

View mem0

At a glance

Feature comparison of Letta and mem0
AttributeLettamem0
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)API, CLI, macOS, Windows, LinuxAPI, CLI
Model supportBYO key / modelBYO key / model
Vendor (differs)LettaMem0
Capabilities (differs)
  • Agent framework
  • Tool / function calling
  • Multi-agent orchestration
  • Agent memory
  • App / agent deployment
  • MCP server
  • Agent memory
  • Vector search

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

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

When to pick which

Across the signals we compare, Letta and mem0 differ on platforms:

Platforms
API, CLI, macOS, Windows, Linux · API, CLI

Their capability lists differ in recorded depth — compare the full lists above before deciding.