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Wax
Wax logo

Wax

Active·★ 805·Apache-2.0·Updated 2026-10-01

Wax provides persistent, searchable, and private on-device memory for iOS and macOS AI agents, eliminating the need for servers or cloud services. It integrates document storage, semantic search (HNSW), full-text search (BM25), and token budgeting into a single, crash-safe .wax file.

Wax sits in the RAG / Knowledge Base category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Hybrid retrieval (BM25 + HNSW). A representative use case is Conversational agents remembering user preferences. The listed license is Apache-2.0. GitHub stars are currently 805. Relevant tags include AI Agents, On-device AI.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

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#AI Agents
#On-device AI
#Vector Database
#Full-text Search
#Swift
#iOS Development
#macOS Development
#Privacy-preserving
$ Install
$ Add to Package.swift dependencies: .package(url: "https://github.com/christopherkarani/Wax.git", from: "0.1.8")
↗ Visit site★ GitHub
01

Features

01Hybrid retrieval (BM25 + HNSW)
02On-device embeddings (MiniLM)
03Metal acceleration for GPU
04Automatic token budgeting
05Single portable .wax file
02

Why choose it

+Hybrid retrieval (BM25 + HNSW)
+On-device embeddings (MiniLM)
+Conversational agents remembering user preferences
+Supports 5 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Swift
Language
Verified via docs
iOS
Platform
Verified via docs
macOS
Platform
Verified via docs
Xcode
IDE
Verified via docs
Apple Silicon
Hardware
Verified via docs
05

Quick start

1
$ Add to Package.swift dependencies: .package(url: "https://github.com/christopherkarani/Wax.git", from: "0.1.8")
06

Use cases

↳Conversational agents remembering user preferences
↳Note-taking apps with semantic search
↳Personal assistants learning habits privately
↳On-device RAG pipelines for sensitive data
07

Alternatives

⚡Top VS:
VSbrain-mcp★81→VSContext-Engine★401→VScodebase-context★66→

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Alternatives
christopherkarani /
Wax
↗

🍯 Memory layer for on-device AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer.

805Apache-2.0
Last commit3w ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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