Wax
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.
Use Cases
- • Persistent, searchable memory for iOS and macOS AI agent apps without cloud dependencies
- • Privacy-first RAG where all embeddings and retrieval happen on-device
- • Token-budget-aware context compression for constrained LLM context windows
- • Embedding Apple Silicon GPU acceleration into Swift AI applications via Metal
Not For
- • Cross-platform or server-side RAG systems (Swift/Apple platform only)
- • Large-scale document corpora exceeding single-device storage
- • Teams not working in Swift or the Apple ecosystem
Alternatives
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Scores are editorial opinions as of 2026-03-01.