What it does
A memory layer and integration collection for AI agents and knowledge-graph-backed language-model applications.
Why it belongs here
Agent memory is tokenmaxxing when it recalls the right prior fact instead of replaying the whole conversation.
Best use case
Agent applications that need durable memory, user context, and knowledge-graph-backed recall without stuffing full histories into prompts.
How to use it
Store important state outside the prompt, retrieve only relevant facts for the current step, and measure whether memory reduces context size.
Limits
Memory adds its own correctness and privacy risks. Retrieval must be scoped, auditable, and tested for stale facts.
Tags
memoryagentsknowledge-graph
