Originally published at nlqdb. com/blog The standard agent-memory build is an afternoon of work: embed every fact worth keeping, upsert it into a vector store, and before each reply pull the top-k most similar memories back into context. And for what it's built for, it works.
Source: [Dev.to](https://dev.to/omer_hochman/your-agents-memory-is-a-vector-store-ask-it-how-many-and-watch-it-fall-over-4ha8)