Semantic memory
js
await plant.remember( 'the radiator went on and the leaf tips browned' )
await plant.recall( 'the air is very dry' )
// [ { text: 'the radiator went on...', score: 0.71, at: '2026-01-14' } ]A dependency-free hashing embedder and a flat index, so a plant on a Raspberry Pi has a memory without a vector database. Adapters for Qdrant, Weaviate and Milvus when the corpus outgrows it, and ApiEmbedder for a real embedding model.
Every analyze() call is grounded with both layers: the model receives the rule-derived findings and this plant's own precedents as premises, not just a snapshot. Disable per call with { ground : false }, or the whole layer with { knowledge : false }.