LangMem vs Memary
No leader: the top candidate Memary has only 0.27 confidence (low), below the 0.35 needed to declare a winner. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for agent memory. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
LangMem
Not documented yet.
Memary
A memory layer for autonomous agents built on knowledge graphs. It tracks entities, relationships, and events with timestamps, supports multi-agent setups with isolated memory contexts, and integrates with LangChain and LlamaIndex to help agents evolve their knowledge through interactions.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
LangMem
- LangGraph
- GitHub (repository hosting)
Memary
- FalkorDB
- LangChain
- LlamaIndex
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.