{"id":"wax","name":"Wax","af_score":78.9,"security_score":80.0,"reliability_score":null,"what_it_does":"A sub-millisecond on-device RAG memory library for iOS and macOS AI agents, implemented in pure Swift with hybrid BM25 + HNSW vector search, local MiniLM embeddings, Metal GPU acceleration, token budgeting, and a single portable .wax file format — no server or API required.","best_when":"You are building a native iOS or macOS app that needs fast, private, on-device memory/RAG without any network calls or server infrastructure.","avoid_when":"You need a cross-platform, server-hosted, or cloud-scalable vector database — use Pinecone, Weaviate, Qdrant, or Chroma instead.","last_evaluated":"2026-03-01T09:50:06.391369+00:00"}