Vector Memory — AI Glossary

Vector memory is agent memory stored as embedding vectors in a vector database, retrieved by semantic similarity. Each piece of memory (a turn, a fact, a chunk of a document) is encoded into an embedding with a chosen model and stored alongside metadata; recall queries are also embedded and the closest matches returned.