Wax

npx -y waxmcp@latest install

That stages the MCP server, MiniLM runtime, and operator skill on Apple Silicon. Wire one host, paste the playbook, and the next session can remember / recall. If this is the memory layer you wanted, star the repo so other agents find it.

---

What Wax is

Wax is a shared memory file for agents and on-device models.

Claude Code ─┐
Codex ───────┤
Cursor ──────┼─ MCP ─→  one HTTP writer  ─→  ~/.wax/memory.wax
Grok ────────┤
OpenClaw ────┘
Hermes ──────── native wax-memory provider ─↗
iPhone / Mac app ── Memory + Foundation Models tools ─↗

The store is one file. Documents, FTS5 text search, CoreML vectors, and a WAL live inside it. iCloud or AirDrop the file to another Mac or iPhone. Identical MCP servers share one broker daemon automatically; a differently-configured second process fails fast with sharing guidance, so two or more hosts share http://127.0.0.1:3000/mcp.

What you get that a host scratchpad does not:

• Claude, Codex, Cursor, and Hermes read and write the same memories.
• remember does not call an LLM to extract facts. You store a sentence; hybrid search finds it later.
• Apple Foundation Models get waxRemember / waxRecall / waxSearch as on-device tools.
• Hermes can drop MEMORY.md curation and use the native wax-memory provider (handoffs, turn sync, wax_remember / wax_recall).

Host playbook: wax-mcp-hosts.md

---

Agent Quick Start

Give Claude Code, Cursor, Codex, Hermes, OpenClaw, Muse Code, or Windsurf a memory that survives the chat.

Installing the server is not enough. Hosts ignore MCP tool descriptions unless an always-on file says when to write. Paste a block below after you wire the host.

1. Stage the server once

npx -y waxmcp@latest install

Claude-only can use stdio. Two or more clients must share one HTTP server on http://127.0.0.1:3000/mcp. A differently-configured second process on ~/.wax/memory.wax fails fast instead of locking silently.

Host	Wire-up
Claude Code	swift run --traits MCPServer wax-cli mcp install --scope user then claude install-skill ~/.local/share/waxmcp/skills/wax-mcp
Codex	wax-cli mcp install prints the stdio block (writes it with --write-toml-config) + copies the skill; manual: [mcp_servers.wax] url = "http://127.0.0.1:3000/mcp" in ~/.codex/config.toml
Cursor	wax-cli mcp install merges the stdio entry automatically; manual: { "mcpServers": { "wax": { "url": "http://127.0.0.1:3000/mcp" } } } in ~/.cursor/mcp.json + paste the AGENTS.md block
Hermes	Native memory.provider: wax-memory only. npx -y waxmcp@latest install-hermes-plugin, then hermes config set memory.provider wax-memory. Daily tools: wax_remember / wax_recall (no Wax UUID). Do not add wax-memory to plugins.enabled. Do not also register mcp_servers.wax.
OpenClaw	HTTP + memory plugin + paste the SOUL.md stanza into the workspace SOUL.md; replace an existing ## Memory (Wax) section
Muse Code	wax-cli mcp install registers Muse automatically (unless --skip-muse); manual: mcp_servers.wax in ~/.config/muse/settings.json (schema_version: 1): stdio wax-cli mcp serve when solo, shared http://127.0.0.1:3000/mcp when two or more clients + paste the AGENTS.md block
Anything else	HTTP URL + paste the AGENTS.md block into project AGENTS.md

Keep HTTP up with ~/.local/share/waxmcp/bin/start-wax-mcp-http.sh or LaunchAgent ai.wax.mcp-http. Prove it with npx -y waxmcp@latest vector-health, npx -y waxmcp@latest doctor (wax-cli mcp doctor), hermes wax-memory doctor, and hermes plugins doctor wax-memory. Native recall defaults to the current project; pass scope=global for person facts. Global is not an authorization boundary.

Full snippets, LaunchAgent ai.wax.mcp-http, vector-health, Hermes doctors, and a smoke test: Resources/docs/wax-mcp-hosts.md.

The wax-mcp skill is install/doctor only. The wax skill is Swift SDK integration. Daily memory follows MCP server instructions, not either skill.

2. Teach the model when to use Wax

Pick the file your host actually loads on every turn.

Use the project or user AGENTS.md, CLAUDE.md, or .cursor/rules. Same text as Resources/skills/public/wax-mcp/references/project-rules.md.

Follow the live Wax MCP server instructions for `remember`, `recall`, and `stats`. Do not invent a `session_id`. Do not load the `wax` or `wax-mcp` skills at session start. `wax` is Swift SDK only; `wax-mcp` is install/doctor only.

OpenClaw: the workspace SOUL.md. Native Hermes already owns session lifecycle. Call wax_remember / wax_recall / wax_stats. Do not pass a Wax session_id. Do not paste the MCP session_open loop. Omit mode unless you need an override. Omit scope for current-project recall; pass scope=global for person facts. Empty project recall is a miss. Do not add wax-memory to plugins.enabled.

SOUL.md is identity. Append this section if missing. If ## Memory (Wax) already exists, replace that section. Do not replace the rest of the soul.

## Memory (Wax)

You have Wax. Follow the live MCP server instructions for `remember`, `recall`, and `stats`. Do not invent a `session_id`. Do not load wax-mcp at session start.

Native Hermes already owns session lifecycle. Call wax_remember / wax_recall / wax_stats. Do not pass a Wax session_id. Do not paste the MCP session_open loop. Omit mode unless you need an override. Omit scope for current-project recall; pass scope=global for person facts. Empty project recall is a miss. Do not add wax-memory to plugins.enabled. OpenClaw still pastes the SOUL.md stanza.

Grokbot runs locally on your Mac, so Wax serves it over loopback. No tunnel. No cloud copy of your memory.

One-time setup:

# 1. Stage Wax
npx -y waxmcp@latest install

# 2. Start the server and keep it running (add to your shell profile / login items)
~/.local/share/waxmcp/bin/start-wax-mcp-http.sh

Then in Grokbot: Settings → Plugins → Add MCP server

Field	Value
Name	wax
URL	http://127.0.0.1:3000/mcp

Finally, paste this prompt into your main (coordinator) bot. It sets up its own memory and rolls Wax out to every bot on the team:

You have a memory tool server called "wax". Follow its live MCP server instructions for remember, recall, and stats. Do not invent a session_id. Do not load the wax-mcp skill at session start. Never store passwords, tokens, or secrets. If the wax tools are missing, stop and tell me instead of improvising.

Roll out to the team:
1. List every bot we already have. For each one, tell it to follow the live Wax MCP server instructions, then verify it can see the wax tools (have it run the wax stats tool) and report back which bots succeeded and which failed.
2. From now on, whenever you spawn a new bot, point it at those same live server instructions before it begins any work.
3. Save this policy in wax as memory_type user_preference so you keep enforcing it across sessions.

The .wax file stays on the machine. The loopback bind is unreachable from outside. Full host playbook: Resources/docs/wax-mcp-hosts.md.

Operator notes (not a third playbook): Daily tools are remember, recall, and stats. A successful remember returns committed true. Ignore leftover_reasons on close. WAX_MCP_TOOLS=legacy: session_open with recall_query is enough.

Host install path (LaunchAgent ai.wax.mcp-http, vector-health, Hermes doctors, recovery): Resources/docs/wax-mcp-hosts.md. Claude/doctor details: Resources/docs/wax-mcp-setup.md.

---

Foundation Models (iOS 26 / macOS 26)

Apple's on-device LanguageModelSession generates text. It does not keep a store across launches. Wax is that store: recall into the prompt, register memory tools, optionally write turns back.

Requires Apple Intelligence where the system model is available. Guard with #if canImport(FoundationModels) and WaxFoundationModelsAvailability.current(). Compilation on a machine without Apple Intelligence is not a successful respond.

import Foundation
import FoundationModels
import Wax

@available(iOS 26.0, macOS 26.0, *)
func chatWithMemory() async throws {
    let url = URL.documentsDirectory.appending(path: "assistant.wax")
    let memory = try await Memory(at: url)

    let session = memory.foundationModelsSession(
        instructions: "You are a helpful assistant with durable on-device memory."
    )

    switch WaxFoundationModelsAvailability.current() {
    case .available:
        let answer = try await session.respond(
            to: "I prefer dark mode and Vim keybindings."
        )
        print(answer)
    case .unavailable(let reason):
        print("Foundation Models unavailable: \(reason)")
    }

    try await session.close() // does not close `memory`
    try await memory.close()
}

foundationModelsSession is synchronous. It captures the Memory handle. Closing the session leaves the store open so other screens can share it.

Default config is hybrid:

Piece	Behavior
Prompt	Recalls related memory and injects a <wax_memory> block
Tools	waxRemember, waxRecall, waxSearch (.focused kit)
Turns	Writes user and assistant turns when persistencePolicy allows it

Attach tools to your own LanguageModelSession:

let tools = memory.foundationModelsTools(kit: .focused)
let session = LanguageModelSession(tools: tools) {
    "You have long-term memory via waxRemember / waxRecall / waxSearch."
}

Kits: .focused (default), .compact, .combined, .focusedWithForget. Full walkthrough: Foundation Models.

---

Swift app

Same engine inside an iOS or macOS app. No MCP process required.

// Package.swift
dependencies: [
    .package(url: "https://github.com/christopherkarani/Wax.git", from: "0.1.47")
]

Or in Xcode: File → Add Package Dependencies → https://github.com/christopherkarani/Wax.git

import Foundation
import Wax

let url = URL.documentsDirectory.appending(path: "agent.wax")
let memory = try await Memory(at: url)

try await memory.save("The user is building a habit tracker in SwiftUI.")
let results = try await memory.search("What is the user building?")
if let best = results.items.first {
    print("Found: \(best.text)")
}

try await memory.close()

Memory(at:) auto-configures the on-device MiniLM embedder on iOS 18 / macOS 15+ (default MiniLMEmbeddings trait). Hybrid search is text until the embedder attaches; vectorOnly throws. Check results.diagnostics and memory.stats().

import SwiftUI
import Wax

struct ContentView: View {
    @State private var result = "Searching…"

    var body: some View {
        Text(result)
            .task {
                do {
                    let url = URL.documentsDirectory.appending(path: "agent.wax")
                    let memory = try await Memory(at: url)

                    try await memory.save("The user is building a habit tracker in SwiftUI.")
                    let context = try await memory.search("What is the user building?")

                    result = context.items.first?.text ?? "Nothing found"
                    try await memory.close()
                } catch {
                    result = "Error: \(error.localizedDescription)"
                }
            }
    }
}

Experimental Darwin facades: PhotoMemory / VideoMemory (OCR, keyframes, host-supplied transcripts; video does not store media bytes). Structured entities and facts are MCP/broker tools today (entity_upsert, fact_assert, facts_query). The Swift CRUD API for that graph is package-internal.

Public surface: public-api.md. iOS docs: christopherkarani.github.io/Wax.

Run the demo

Resources/WaxDemo stress-tests Memory (save/search durability, embeddings, Foundation Models, errors). macOS 26 for the demo package; Foundation Models mode needs Apple Intelligence.

cd Resources/WaxDemo
swift run WaxDemo --mode all

Mode	What it runs
memory	Save → search → close → reopen → search
embeddings	Built-in MiniLM + hybrid/vector search
fm	Foundation Models memory session (or a clear unavailable message)
all	Default

swift run WaxDemo --mode fm --keep --store /tmp/wax-demo.wax

---

Why this instead of what you already have

Job	Typical option	Wax
Scratchpad the host already has	MEMORY.md / USER.md / CLAUDE.md	Searchable across sessions and projects. Agents write lessons as they happen. You do not maintain the markdown by hand.
Hosted memory API	Mem0, SuperMemory, and similar	One file on disk. No account. remember does not call a cloud LLM to extract facts.
Markdown MCP	Basic Memory and similar	Binary store with FTS5 + CoreML vectors + WAL. AirDrop the file. Same MCP session loop.
Knowledge graph platform	Graphiti, Cognee	Different product: those want Neo4j/Postgres and an LLM for ingest. Wax is a local file plus an agent session loop.
Single-file RAG	Memvid .mv2 and similar	Wax adds MCP remember / recall / stats, a native Hermes provider, and Foundation Models tools.
Cloud vector DB	Pinecone, hosted Qdrant	Hybrid text + vector on Apple Silicon. p95 hybrid recall 6.1 ms on the 2026-03-06 M-series sweep.

Wax is the shared local store. It does not replace a temporal knowledge graph, and it does not claim LoCoMo numbers it has not published.

---

Performance

Measured on Apple Silicon, 2026-03-06. Full report: Resources/docs/benchmarks/2026-03-06-performance-results.md.

Hybrid recall p95     6.1 ms
Hybrid recall p99     6.5 ms
Cold open p95         9.2 ms

Cold open is store open only. The built-in embedder's first CoreML compile is a separate one-time cost; later launches reuse the cached compiled model.

Text search works with no embedder. Semantic search auto-configures MiniLM on iOS 18 / macOS 15+. The CLI and MCP server fail loud when hybrid/vector is requested without an embedder. The Swift SDK reports the mode that ran via results.diagnostics.

---

Architecture

Wax bundles documents, metadata, and indexes in one binary. SQLite FTS5 for text. Metal-accelerated HNSW for vectors once an index holds 10,000+ vectors; smaller indexes use an exact Accelerate/CPU flat index with the same recall.

┌──────────────────────────────────────────────────────────────────────────┐
│                          Dual Header Pages (A/B)                         │
│   (Magic, Version, Generation, Pointers to WAL & TOC, Checksums)         │
├──────────────────────────────────────────────────────────────────────────┤
│                          WAL (Write-Ahead Log)                           │
│   (Atomic ring buffer for crash-resilient uncommitted mutations)         │
├──────────────────────────────────────────────────────────────────────────┤
│                          Compressed Data Frames                          │
│   ┌──────────────────┐  ┌──────────────────┐  ┌──────────────────┐       │
│   │ Frame 0 (LZ4)    │  │ Frame 1 (LZ4)    │  │ Frame 2 (LZ4)    │ ...   │
│   │ [Raw Document]   │  │ [Metadata/JSON]  │  │ [System Info]    │       │
│   └──────────────────┘  └──────────────────┘  └──────────────────┘       │
├──────────────────────────────────────────────────────────────────────────┤
│                          Hybrid Search Indices                           │
│   ┌──────────────────────────────┐  ┌──────────────────────────────┐     │
│   │ SQLite FTS5 Blob             │  │ Metal HNSW Index             │     │
│   │ (Text Search + EAV Facts)    │  │ (Vector Search)              │     │
│   └──────────────────────────────┘  └──────────────────────────────┘     │
├──────────────────────────────────────────────────────────────────────────┤
│                          TOC (Table of Contents)                         │
│   (Index of all frames, parent-child relations, and engine manifests)    │
└──────────────────────────────────────────────────────────────────────────┘

Dual headers and the WAL keep the store consistent if the process dies mid-write. One query fans out to BM25 and HNSW. EAV facts ship through MCP tools.

---

FAQ

Do I need the internet?
No. Memory stays on device. The npm installer fetches the staged binaries once.

How big is the file?
LZ4-compressed frames. Typical use is a few MB for thousands of documents.

Can I sync across devices?
Yes. iCloud Drive, Dropbox, AirDrop. One file.

What if the app crashes during a write?
WAL plus dual headers. The next open recovers.

Does this run on Intel Macs?
The engine can run via Rosetta. Metal vector acceleration and the waxmcp npm package target Apple Silicon. Build wax-cli from source on Intel.

I get "embedder unavailable" on hybrid search.
Hybrid and vector need a local embedding model. Swift Memory(at:) loads MiniLM on iOS 18 / macOS 15+, or set Memory.Config.embedding = .custom(...). Older OS: text-only or bring your own embedder. CLI/MCP fail loud; Swift reports the effective mode on diagnostics.

Two agents time out on the same store.
One writer. Start ~/.local/share/waxmcp/bin/start-wax-mcp-http.sh and point every host at http://127.0.0.1:3000/mcp.

---

Community

• GitHub Issues
• Discord
• Star the repo
• Docs: iOS / Foundation Models · DocC

---

License

Apache License 2.0. See LICENSE.