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Honcho vs Letta

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

Compared from listings verified as of

Honcho

Memory

Continual learning memory for stateful agents. Better context, fewer tokens.

View Honcho

Letta

Memory

Stateful agents with structured memory. Successor to MemGPT.

View Letta

At a glance

Feature comparison of Honcho and Letta
AttributeHonchoLetta
CategoryMemoryMemory
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)API, CLIAPI, CLI, macOS, Windows, Linux
Model support (differs)Model-agnosticBYO key / model
Vendor (differs)Plastic LabsLetta

The honest brief

Honcho

Peer-centric memory models what any party knows about another, extracting conclusions rather than raw chunks.

  • Open-source memory infrastructure
  • Peer model for human/agent/idea memory
  • Reasoning-first, derives durable facts
  • Strong long-memory benchmark scores
  • Managed API or self-hosted FastAPI
  • Young, evolving ecosystem
  • Self-host stack (Postgres/Redis) to run
  • Background inference adds LLM cost
  • Smaller community than incumbents

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