Memory Lancedb Pro

This is a serious upgrade over basic vector search for Claude's memory. It combines vector similarity with BM25 keyword search, fuses results with reciprocal rank fusion, and optionally reranks with a cross-encoder for better relevance. The multi-scope isolation is smart if you're running multiple agents or projects and don't want memory bleed. It auto-captures facts and preferences during conversation, filters out noise like greetings and emoji spam, and ships with a CLI for bulk operations and migration from simpler backends. The architecture is clean, embedding providers are swappable, and the scoring pipeline is well-documented if you need to tweak retrieval behavior. Worth it if memory quality matters to your use case.