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M1K3

Your AI. Your Mac. Nothing leaves. On-device AI companion for macOS — MLX inference, live voice, knowledge graph + RAG, and an MCP server.

Install / Use

claude mcp add Round-Tower -- npx -y github:Round-Tower/M1K3

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

81/100

Supported Platforms

Claude Code
Claude Desktop

Our assessment of M1K3

M1K3 scores 81/100 on our quality scale, 660th of 932 AI & Machine Learning skills we index.

Its MCP Server is 13 KB long, well organised into 11 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
30/30
Structure
18/20
Description
15/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so M1K3 is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

M1K3 compared with similar skills

All 4 of these similar skills score higher than M1K3; compare them before choosing.

SkillScoreStarsUpdatedFormat
M1K3 (this skill)by Round-Tower813todayMCP Server
claude-memby thedotmack10095.1ktodayCLAUDE.md
Agent-Reachby Panniantong10087.5k16d agoCLAUDE.md
Understand-Anythingby Egonex-AI10084.9k3d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md

Frequently asked questions

How do I install M1K3?
Run claude mcp add Round-Tower -- npx -y github:Round-Tower/M1K3. The install tabs above show the steps for each supported agent.
Which AI agents does M1K3 work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is M1K3 safe to use?
It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is M1K3 still maintained?
The repository was last updated today, so M1K3 is actively maintained.
<p align="center"> <img src="assets/brand/readme-hero.png" alt="M1K3 — Your AI. Your Mac. Nothing leaves." width="100%"> </p> <h1 align="center">M1K3 — Own your AI</h1> <p align="center"> Local AI that runs <strong>entirely on your Apple-Silicon Mac</strong> — on-device LLM inference, live voice, a personal knowledge graph with RAG, encrypted call transcription, a local agent, and an MCP server.<br> Private by design: on your Mac by default, no telemetry, and every network call shows itself and can be switched off. </p> <p align="center"> <a href="https://github.com/Round-Tower/M1K3/releases/latest/download/M1K3.dmg"><strong>⬇ Download for macOS</strong></a> · <a href="https://m1k3.app">m1k3.app</a> · <a href="https://testflight.apple.com/join/Fxp2F5Je">TestFlight beta</a> </p> <p align="center">Connecting a coding agent → <a href="https://m1k3.app/agents">m1k3.app/agents</a></p> <p align="center"><em>Requires macOS 26 Tahoe · Apple Silicon · signed & notarized (Developer ID).</em></p> <p align="center"> <a href="https://github.com/Round-Tower/M1K3/actions/workflows/ci.yml"><img src="https://github.com/Round-Tower/M1K3/actions/workflows/ci.yml/badge.svg" alt="CI"></a> <a href="https://github.com/Round-Tower/M1K3/actions/workflows/security.yml"><img src="https://github.com/Round-Tower/M1K3/actions/workflows/security.yml/badge.svg" alt="Security"></a> <a href="https://github.com/Round-Tower/M1K3/actions/workflows/claude-code-review-mac.yml"><img src="https://github.com/Round-Tower/M1K3/actions/workflows/claude-code-review-mac.yml/badge.svg" alt="Mac review"></a> </p> <p align="center"> <a href="LICENSE"><img src="https://img.shields.io/badge/license-FSL--1.1--ALv2-0a0a0a?labelColor=0a0a0a" alt="FSL-1.1-ALv2"></a> <a href="https://github.com/Round-Tower/M1K3/releases/latest"><img src="https://img.shields.io/github/v/release/Round-Tower/M1K3?color=0a0a0a&labelColor=0a0a0a&label=release" alt="Latest release"></a> <img src="https://img.shields.io/badge/platform-macOS%2026%20·%20Apple%20Silicon-0a0a0a?labelColor=0a0a0a" alt="macOS 26 · Apple Silicon"> <img src="https://img.shields.io/badge/swift-6.2%20strict-0a0a0a?labelColor=0a0a0a" alt="Swift 6.2"> <a href="https://murphysig.dev/signed/Round-Tower/M1K3/"><img src="https://murphysig.dev/badge/Round-Tower/M1K3.svg" alt="MurphySig: signed"></a> </p>

What's inside

  • On-device inference — three brains: Apple Foundation Models for instant answers, Qwen 3 4B, and Gemma 4 12B via MLX. Chat with Mini from the first second while a bigger brain downloads.
  • Live voice — sentence-streamed neural TTS + on-device speech-to-text, and a full-window voice mode with karaoke captions.
  • Knowledge + RAG — drop in notes and PDFs; M1K3 remembers and cites, locally.
  • A memory that repairs itself — a temporal memory graph of dated facts; when you correct something, the dream cycle supersedes the stale fact instead of silently losing either version, and keeps the history visible.
  • A face, and creatures — the pixel face by default; an opt-in cast of low-poly 3D companions rendered on-device with RealityKit.
  • Call memory — encrypted, on-device call transcription.
  • A local agent — tools that do things, grounded in your own data, with markdown + syntax-highlighted code in chat.
  • MCP server — 18 tools over local HTTP; give Claude and other agents a resident with a voice, a memory, and your knowledge.

Everything above runs without leaving the device. The only network use is the one-time model download and an optional, explicitly-enabled web search; the 1.0 build has no cloud path at all. A later release adds an opt-in Private Cloud Compute rung — off by default, one message at a time, every PCC answer labelled — see SECURITY.md.

| Surface | Where | Stack | Status | |---|---|---|---| | macOS native | macos/ | Swift 6.2, SwiftUI, MLX-Swift | The product — on-device knowledge · RAG · agent · voice · calls. Build it: macos/README.md. | | iOS + visionOS | macos/M1K3iOSApp/ | Swift 6.2, SwiftUI | Native SwiftUI shell on the same macos/Sources/ package graph — chat · RAG · memories · docs. Ladder tops out at Lil on-device. See macos/docs/IOS_VISIONOS_PORT.md. | | 間 AI mobile | app/ | Kotlin Multiplatform | Slow burn — the Android surface (KMP), pre-release. See app/README.md. | | The attic | git history before 7545b4a4 | Python, THREE.js, Tauri | Where M1K3 grew up — the original CLI, avatar experiments, and ideas. Cleared from the tree 2026-08-13; see The attic. |

Get M1K3

Agents

M1K3 ships a command-line client, m1k3, inside the app bundle. It's a thin client — the running app is the daemon (one MLX slot on the machine, and it belongs to M1K3.app).

brew trust round-tower/tap                 # Homebrew 6: trust the tap once
brew install --cask round-tower/tap/m1k3   # the cask symlinks Contents/Helpers/m1k3
m1k3 connect claude                        # also: codex · cursor · vscode · zed

Then m1k3 status, m1k3 ask "what did I decide about the pin?", m1k3 remember "…", m1k3 search "…", m1k3 speak "build's green".

Prefer clicking? M1K3 ▸ Settings ▸ Privacy ▸ MCP server has the same thing: pick your agent, copy the snippet. Already have M1K3 installed? The binary is at /Applications/M1K3.app/Contents/Helpers/m1k3.

Tell your agents about the resident

m1k3 agent-notes --write folds this into a project's AGENTS.md (or any path you name). It's marker-fenced, so re-running it replaces the block rather than stacking copies:

<!-- m1k3:begin -->
## M1K3 is the resident

M1K3 is a local, private assistant running on this Mac, reachable over MCP. It
holds the user's own documents and memories — so before you search the web, ask
it: `ask_m1k3` for a grounded answer, `search_knowledge` for the sources behind
one. Persist a durable fact with `remember` and it is there next session too.
`speak` narrates aloud, which is often kinder than a wall of text.

M1K3 can be down — a "disconnected" MCP server just means the app is closed.
Never block on it; carry on without it.
<!-- m1k3:end -->

One honest caveat: the Mac App Store build's helper is sandboxed, so it can't write another app's config file or run claude for you. There, m1k3 connect prints the config to paste instead — and says so. The Developer ID build (the DMG and the Homebrew cask) does the write.

MCP integration

The running Mac app serves MCP over HTTP at http://127.0.0.1:4242/mcp — knowledge search, documents, voice, and ask_m1k3 (ask the resident AI). Every request carries the server's access token (Settings ▸ Privacy ▸ MCP server); m1k3 login && m1k3 connect claude wires Claude Code in. Setup for any client: macos/docs/MCP_SETUP.md.

Tools

<!-- MCP-TOOLS:START --> <!-- generated by mcp-inventory at 2026-09-15 19:17 — do not hand-edit; run: mcp-inventory --inject README.md --server m1k3 -->

18 tools (generated live from the running server).

| Tool | Required args | What it does | |------|---------------|--------------| | ask_m1k3 | — | Ask M1K3's local brain a question | | forget_memory | query | Permanently forget a fact M1K3 remembers — the consent primitive, the counterpart to remember | | get_answer | job_id | Fetch the result of an ask_m1k3 call that returned a job id because it was taking a while | | get_document | id | Fetch the text of one indexed item by its id (from list_documents) | | get_status | — | M1K3's overall status: active brain tier, TTS provider, voice tier, and the busy flags — whether M1K3 is speaking, in a conversation, using its mic, or already answering an ask_m1k3 call | | list_documents | — | List the items M1K3 has indexed, with their ids, kinds, and titles. | | list_jobs | — | List recent ask_m1k3 jobs — id, state (running/done/error), and age in seconds | | list_todos | — | The user's todo list as M1K3 holds it | | listen | — | Listen on M1K3's microphone and return the transcript once the speaker pauses (or the timeout passes) | | memory_stats | — | How many atomic facts M1K3 currently remembers (the live, non-superseded count) | | open_link | url | Open a web link in M1K3's review panel on the user's screen, beside the conversation, so they can see the page | | propose_todo | title | PROPOSE a todo for the user | | recall_memory | query | Recall atomic facts M1K3 remembers about the user — the temporal memory GRAPH, separate from the document corpus search_knowledge reads | | related_memory | query | Recall the single best matching fact for the query, then walk M1K3's memory GRAPH one step out to its neighbours (linked or superseded facts) | | remember | title, text | Store text in M1K3's memory — it becomes part of what M1K3 knows, searchable in every future conversation (the same store search_knowledge reads) | | search_knowledge | query | Search M1K3's stored knowledge (documents, calls, notes; hybrid retrieval when available) | | speak | text | Speak text aloud through M1K3's voice (and animate the avatar) | | stop_speaking | — | Stop any in-progress speech immediately. |

<!-- MCP-TOOLS:END -->

The table above is generated live from the running app — never hand-edit it. Refresh with mcp-inventory --inject README.md --server m1k3 (needs the M1K3 app running).

The attic

M1K3 didn't start as a Mac app. It started in August 2025 as a Python CLI with a synthesized voice, grew a THREE.js avatar, a PWA, a Tauri popover, a RAG engine, and an MCP server — and then everything it learned was rebuilt native. That history is signed and permanent in this repo's git history — a project about provenance should keep its own. The attic/ tree was cleared from the working copy on 2026-08-13; to walk through it, check out any commit before 7545b4a4 (or resurrect it with git checkout 7545b4a4 -- attic).

Contributing

Start with CONTRIBUTING.md. Architecture and current state: CLAUDE.md. Security reports: SECURITY.md.

Privacy

Inference, retrieval, and voice run on-device; M1K3 itself has no servers and never sees or stores your conversations, and the 1.0 build has no cloud path at all. A later release adds an opt-in Private Cloud Compute rung (off by default): the one message you choose to send will go to Apple's Private Cloud Compute — see SECURITY.md for what will and will not be sent and Apple's own guarantees, quoted and linked.

License

Functional Source License, FSL-1.1-ALv2. M1K3 is source-available and free for humans, forever: read every line, build it, modify it, run it for yourself, use it inside your organisation, teach with it, research with it. What the licence does not permit is a competing use — offering M1K3, a fork of it, or a substantially similar product to others as a commercial product or service. Each version converts to Apache-2.0 two years after release. It is not an OSI open-source licence and we don't call it one. Attribution and third-party notices are in NOTICE; the decision and its reasons are in ADR 0005.

Revisions before 2026-09-09 were published under Apache-2.0 and stay that way; the boundary is recorded in NOTICE.

The source is public; the name is not. M1K3, the M mark, the pixel face and CRT loo

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars3
CategoryAI
Updated8h ago
Forks0

Languages

Swift

Trust signals

80/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium1 low
M1K3 — MCP Server: Install & Safety Check | SkillAgent