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MemoryPlastic Labs

Honcho

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

Categories
MemoryAgent
Pricing
FREEMIUM
Source
Open core
Hosting
Hybrid
Platforms
APICLI
Models
Model-agnostic
Verified
Jun 8, 2026

A memory and user-personalization layer for AI agents that keeps reasoning about each user across sessions, so apps get richer context without stuffing whole histories into the prompt. It models peers and sessions, runs background inference to derive durable facts, and answers natural-language questions about a user at query time. Available as a managed API or self-hosted FastAPI server, with Python and TypeScript SDKs.

Capabilities 1

What it actually does — grouped by capability family.

  • Agent memory (primary capability)

Pros & cons

  • 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

Tags

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