Local-First Agent Memory: SQLite Beats Vector Embeddings

A data engineer built LoreConvo, an AI agent memory layer using SQLite's FTS5 full-text search instead of vector embeddings. The system stores conversations in a single offline file, achieving sub-second recall without cloud latency or embedding costs. The approach offers deterministic, inspectable results that outperform opaque vector indexes for precise session retrieval.