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KnowledgeMay 13, 2026·1 min de lecture

Wax — On-Device Memory Layer + MCP Server

Single-file memory layer for AI agents (Swift) plus an MCP server for local-first RAG. Good for private, on-device workflows on Apple Silicon.

AI Open Source
AI Open Source · Community
Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Needs Confirmation · 62/100Policy : confirmer
Surface agent
Tout agent MCP/CLI
Type
Memory
Installation
Npx|Spm
Confiance
Confiance : Established
Point d'entrée
npx -y waxmcp@latest mcp install --scope user
Commande CLI universelle
npx tokrepo install 44829892-4fe7-561a-9356-6067d0d30410
contrat d'installationJSON metadataplan adaptateurcontenu raw
Introduction

Wax is a local-first memory layer for agents: keep retrieval on-device and expose it via an MCP server so tools can write/read memory without prompt scaffolding.

Best for: Apple Silicon users who want private, low-latency memory for agent workflows

Works with: MCP clients (Claude Code, etc.); SwiftPM integration (see README)

Setup time: 5–20 minutes

Key facts (verified)

  • README includes an MCP install command via npx -y waxmcp@latest ....
  • Also documents HTTP transport flags for remote/team setups (see README).
  • GitHub: 731 stars · 42 forks; pushed 2026-05-13 (GitHub API verified).

Main

Treat memory as a real interface

Write small, queryable facts, keep writes explicit, and log reads/writes in your agent traces.

README excerpt (verbatim)

Wax Banner

Wax is a high-performance, single-file memory layer for AI agents on Apple platforms.
On-device, private, and portable. No server and no cloud dependency.

Swift Platforms License Stars

English · Español · Français · 日本語 · 한국어 · Português · 中文

What is Wax?

Wax is a Swift-native persistence engine for AI agents. It stores documents, embeddings, and structured knowledge in a single portable .wax file.

The goal is simple: keep memory local, keep setup light, and make recall fast enough that it can stay in the loop.

Why Wax?

Feature Wax SQLite (FTS5) Cloud Vector DBs
Search Hybrid (Text + Vector) Text Only* Vector Only*
Latency ~6ms (p95) ~10ms (p95) 150ms - 500ms+
Privacy 100% Local 100% Local Cloud-hosted
Setup Zero Config Low Complex (API Keys)

FAQ

Q: Is Wax an MCP server or a library? A: Both—README documents an MCP server install path and SwiftPM integration.

Q: Do I need a separate vector database? A: The README positions it as local-first; treat it as an on-device retrieval layer for many cases.

Q: Can I host it remotely? A: README shows HTTP transport options; evaluate privacy and auth before using remote mode.

🙏

Source et remerciements

Source: https://github.com/christopherkarani/Wax > License: Apache-2.0 > GitHub stars: 731 · forks: 42

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