{"repo":"christopherkarani/Wax","free":true,"listed":false,"github":"https://github.com/christopherkarani/Wax","clone":"git clone https://github.com/christopherkarani/Wax.git","description":"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","language":"Swift","stars":781,"topics":["ai-agents","data-science","machine-learning","memory","memory-cache","memory-hacking","on-device-ai","rag","coreml","coreml-framework"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"Single File Memory layer memory for every agent that runs on Apple Silicon One .wax file. Foundation Models, Claude, Cursor, Codex, Hermes — same store. Sync with iCloud, or AirDrop the file. English · Español · Français · 日本語 · 한국어 · Português · 中文 --- What is Wax? Wax is a local-first shared memory layer . It allows any AI to have a single file memory engine with access to vector search, photo and video rag, optimized for Apple Silicon That store is one file: /.wax/memory.wax . No hosted vector DB. Memory, Decisions, facts survive the chat, the app, and the reboot. Same Mac, many agents. For those using multiple different agents, Wax points each host at the file (or at one local HTTP server). They share memory instead of each keeping a private brain. Another Mac Or iPhone Device Put the file in iCloud Drive and both machines see the same store, or AirDrop memory.wax like any other document. Agent setup: Agent Quick Start · host snippets: wax-mcp-hosts.md Also a Swift engine The Engine is Swift Native. Embed it in an iOS or macOS app when you want on-device RAG without standing up a server. What you can build - Shared agent memory — one store across every MCP client on the machine. - Carry it — iCloud the file between Macs, or AirDrop it. - Personal knowledge — semantic search over notes and clips, still on disk. - On-device RAG — ship memory inside an app, no cloud dependency. --- Choose Your Path 🤖 Every agent on this Mac ⌨️ CLI 🛠️ Swift app :--------------------------- ","default_branch":null,"files":null,"tree":[],"storefront":"/r/christopherkarani","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/christopherkarani/Wax/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}