Wax

Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift

#ai-agents#cli#coreml#coreml-framework#data-science#machine-learning#mcp#mcp-server#memory#memory-cache#memory-hacking#metal#on-device-ai#rag#rag-pipeline#swift#vector-database#vector-embeddings#vector-search#vectordb

Install

git clone https://github.com/christopherkarani/Wax.git

Auto-generated from the repo's primary language — check the repo's own README for its exact install instructions.

Claude Desktop config

A starting point for your claude_desktop_config.json (auto-generated — the repo's README may specify a published package name or required env vars):

{
  "mcpServers": {
    "wax": {
      "command": "npx",
      "args": [
        "-y",
        "github:christopherkarani/Wax"
      ]
    }
  }
}

From the README

Give your AI agent a memory that never forgets. One file. Zero cloud. Blazing fast recall on Apple Silicon. English · Español · Français · 日本語 · 한국어 · Português · 中文 Wax meets you where you are. Pick the path that matches what you're building: | 🛠️ Swift Developer | ⌨️ CLI Power User | 🤖 AI Agent Setup | |:--------------------|:------------------|:------------------| | **You want:** Embed memory in your iOS/macOS app or Swift tool. | **You want:** A command-line memory store you can script against. | **You want:** Your AI assistant (Claude Code, Cursor, etc.) to remember…

Read full README on GitHub →

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