Both! Vector storage (OpenAI embeddings → SQLite + sqlite-vec) for semantic recall, plus manual "summary chains" via curated MEMORY.md.
Daily logs capture everything, long-term memory distills what matters. Hybrid search combines BM25 (exact tokens) + vector similarity (meaning).
Just enabled se...