MLX Color Traceroute Skill

Deploy Clojure MCP ecosystem integrations with MLX/JAX inference and Gay.jl deterministic coloring via ACSets.

Overview

Combines:

• MLX (Apple Silicon ML) for local inference
• JAX (Google) for parallel color generation with vmap/pmap
• py-acsets (AlgebraicJulia) for categorical data structure
• Gay.jl SplitMix64 deterministic colors
• Clojure MCP ecosystem for REPL ↔ AI integration
• GF(3) trits for triadic agent balance

Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                     PARALLEL COLOR TRACEROUTE                           │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                         │
│  JAX (Parallel)          ACSets (Structure)        Gay.jl (Colors)     │
│  ┌─────────────────┐     ┌──────────────────────┐  ┌──────────────┐    │
│  │ vmap/pmap       │────►│ Hop, Agent, Bridge   │◄─│ SplitMix64   │    │
│  │ splitmix64_jax  │     │ tables               │  │ GF(3) trits  │    │
│  │ batch_colors()  │     │ JSON export/import   │  │ Rec.2020     │    │
│  └─────────────────┘     └──────────────────────┘  └──────────────┘    │
│         │                         │                        │           │
│         └────────────────────────►│◄───────────────────────┘           │
│                                   ▼                                    │
│                          ┌──────────────────────┐                      │
│                          │  Catlab-compatible   │                      │
│                          │  JSON interchange    │                      │
│                          └──────────────────────┘                      │
│                                   │                                    │
│                    ┌──────────────┼──────────────┐                    │
│                    ▼              ▼              ▼                    │
│              Python/JAX      Julia/ACSets   Clojure/MCP               │
│                                                                         │
└─────────────────────────────────────────────────────────────────────────┘

Quick Start

# Start fastmlx server with color tracking
uv run --with fastmlx,mlx-lm fastmlx --workers 4

# Or use the integrated CLI
uv run hoppy-traceroute --seed 0x42D

Components

1. FastMLX + Gay Colors

#!/usr/bin/env python3
# /// script
# requires-python = ">=3.11"
# dependencies = ["fastmlx", "mlx-lm"]
# ///

import mlx.core as mx
from fastmlx import app
from dataclasses import dataclass

@dataclass
class GayColor:
    """Deterministic color from SplitMix64"""
    seed: int
    index: int
    
    def splitmix64_step(self, z: int) -> int:
        z = (z ^ (z >> 30)) * 0xBF58476D1CE4E5B9
        z = (z ^ (z >> 27)) * 0x94D049BB133111EB
        return (z ^ (z >> 31)) & 0xFFFFFFFFFFFFFFFF
    
    def hue(self) -> float:
        state = self.splitmix64_step(self.seed ^ self.index)
        return (state % 65536) / 65536.0 * 360
    
    def trit(self) -> int:
        state = self.splitmix64_step(self.seed ^ self.index)
        return [-1, 0, 1][state % 3]
    
    def hex(self) -> str:
        h = self.hue() / 360
        # HSL to RGB (s=0.7, l=0.55)
        def hue2rgb(p, q, t):
            if t < 0: t += 1
            if t > 1: t -= 1
            if t < 1/6: return p + (q - p) * 6 * t
            if t < 1/2: return q
            if t < 2/3: return p + (q - p) * (2/3 - t) * 6
            return p
        
        q = 0.55 + 0.7 * 0.45
        p = 2 * 0.55 - q
        r = hue2rgb(p, q, h + 1/3)
        g = hue2rgb(p, q, h)
        b = hue2rgb(p, q, h - 1/3)
        return f"#{int(r*255):02X}{int(g*255):02X}{int(b*255):02X}"

2. Clojure MCP Color Bridge

;; deps.edn addition for bhauman/clojure-mcp
{:deps {io.github.bhauman/clojure-mcp {:git/sha "HEAD"}
        gay/color {:local/root "../Gay.jl/clj"}}}

;; color_bridge.clj
(ns hoppy.color-bridge
  (:require [clojure-mcp.core :as mcp]
            [gay.splitmix :as gay]))

(def ^:dynamic *gay-seed* 0x42D)

(defn splitmix64-step [z]
  (let [z (-> z (bit-xor (unsigned-bit-shift-right z 30)) 
              (* 0xBF58476D1CE4E5B9) (bit-and 0xFFFFFFFFFFFFFFFF))
        z (-> z (bit-xor (unsigned-bit-shift-right z 27))
              (* 0x94D049BB133111EB) (bit-and 0xFFFFFFFFFFFFFFFF))]
    (bit-xor z (unsigned-bit-shift-right z 31))))

(defn hop-color [seed hop-idx]
  (let [state (splitmix64-step (bit-xor seed hop-idx))
        trit (case (mod state 3) 0 :ergodic 1 :plus 2 :minus)
        hue (* (/ (mod state 65536) 65536.0) 360)]
    {:hue hue :trit trit :state state :hop hop-idx}))

(defn wrap-with-color [handler]
  "Middleware that colors each MCP tool call"
  (fn [request]
    (let [hop-idx (System/currentTimeMillis)
          color (hop-color *gay-seed* hop-idx)
          response (handler request)]
      (assoc response :_gay_color color))))

3. Grain/DSPy Triadic Agents

;; For ObneyAI/grain behavior trees
(ns hoppy.grain-triadic
  (:require [grain.core :as grain]
            [grain.dspy :as dspy]))

(def GF3 {:minus -1 :ergodic 0 :plus 1})

(defn triadic-split [seed]
  "Split into three balanced agent seeds"
  (let [base (splitmix64-step seed)]
    {:minus   (bit-xor base 0x2D2D2D2D2D2D2D2D)
     :ergodic (bit-xor base 0x5F5F5F5F5F5F5F5F)  
     :plus    (bit-xor base 0x2B2B2B2B2B2B2B2B)}))

(defn dspy-colored-signature [prompt seed]
  "DSPy signature with deterministic color"
  (let [color (hop-color seed (hash prompt))]
    (dspy/signature
      {:prompt prompt
       :_color (:hue color)
       :_trit (:trit color)})))

(defn behavior-tree-node [seed node-type]
  "Colored behavior tree node"
  {:type node-type
   :color (hop-color seed (hash node-type))
   :children []})

4. nREPL TAP Color Streams

;; For JohanCodinha/nrepl-mcp-server
(ns hoppy.tap-colors
  (:require [nrepl.middleware :as middleware]))

(def tap-streams
  {:backfill {:trit -1 :buffer (atom [])}
   :verify   {:trit  0 :buffer (atom [])}
   :live     {:trit +1 :buffer (atom [])}})

(defn colored-tap-handler [seed]
  (fn [value]
    (let [color (hop-color seed (hash value))
          stream (case (:trit color)
                   -1 :backfill
                   0  :verify
                   1  :live)]
      (swap! (get-in tap-streams [stream :buffer]) conj
             {:value value :color color :timestamp (System/currentTimeMillis)}))))

(defn install-colored-tap! [seed]
  (add-tap (colored-tap-handler seed)))

5. Modex Observational Bridge

;; For theronic/modex MCP client+server
(ns hoppy.modex-bridge
  (:require [modex.core :as modex]))

(defrecord ObsBridge [source target bridge-color dimension])

(defn obs-eq? [w1 w2]
  "Observational equality: same hue + same trit"
  (and (= (:hue w1) (:hue w2))
       (= (:trit w1) (:trit w2))))

(defn create-bridge [source target seed]
  (let [src-hash (hash source)
        tgt-hash (hash target)
        bridge-hash (bit-xor src-hash tgt-hash)
        color (hop-color seed bridge-hash)]
    (->ObsBridge source target color
                 (if (obs-eq? source target) 0 1))))

(defn compose-bridges [b1 b2]
  (->ObsBridge 
    (:source b1)
    (:target b2)
    (hop-color (bit-xor (get-in b1 [:bridge-color :state])
                        (get-in b2 [:bridge-color :state])) 0)
    (max (:dimension b1) (:dimension b2))))

Unified CLI

#!/usr/bin/env python3
"""
Hoppy Color Traceroute - MLX + Clojure MCP + Gay.jl
"""
# /// script
# requires-python = ">=3.11"  
# dependencies = ["mlx", "rich", "click"]
# ///

import click
from rich.console import Console
from rich.table import Table
import math

console = Console()

SERVERS = [
    ("sRGB", "gamut"),
    ("clojure-mcp", "bhauman"),
    ("nrepl-mcp-server", "JohanCodinha"),
    ("grain/clj-dspy", "cjbarre"),
    ("modex", "theronic"),
    ("fastmlx", "plurigrid"),
    ("Gay.jl/Rec2020", "bmorphism"),
    ("metaphysics", "∞"),
]

def splitmix64(z):
    z = ((z ^ (z >> 30)) * 0xBF58476D1CE4E5B9) & 0xFFFFFFFFFFFFFFFF
    z = ((z ^ (z >> 27)) * 0x94D049BB133111EB) & 0xFFFFFFFFFFFFFFFF
    return (z ^ (z >> 31)) & 0xFFFFFFFFFFFFFFFF

def hop_color(seed, idx):
    state = splitmix64(seed ^ idx)
    trit = [-1, 0, 1][state % 3]
    hue = (state % 65536) / 65536.0 * 360
    return {"hue": hue, "trit": trit, "state": state}

def hue_to_rgb(h):
    h = h / 360
    s, l = 0.7, 0.55
    def hue2rgb(p, q, t):
        if t < 0: t += 1
        if t > 1: t -= 1
        if t < 1/6: return p + (q - p) * 6 * t
        if t < 1/2: return q
        if t < 2/3: return p + (q - p) * (2/3 - t) * 6
        return p
    q = l + s * (1 - abs(2*l - 1)) / 2
    p = 2 * l - q
    r, g, b = hue2rgb(p, q, h + 1/3), hue2rgb(p, q, h), hue2rgb(p, q, h - 1/3)
    return int(r*255), int(g*255), int(b*255)

@click.command()
@click.option("--seed", default=0x42D, help="Genesis seed (hex)")
def traceroute(seed):
    """Trace color path through MCP servers"""
    table = Table(title=f"COLOR TRACEROUTE (seed=0x{seed:X})")
    table.add_column("Hop", style="dim")
    table.add_column("Server")
    table.add_column("Author")
    table.add_column("Color", width=8)
    table.add_column("Trit")
    table.add_column("Latency")
    
    trit_sum = 0
    for i, (server, author) in enumerate(SERVERS):
        color = hop_color(seed, i)
        r, g, b = hue_to_rgb(color["hue"])
        trit = color["trit"]
        trit_sum += trit
        trit_sym = {-1: "−", 0: "○", 1: "+"}[trit]
        latency = f"{(1 + i * math.log(i + 1)):.3f}ms"
        
        table.add_row(
            str(i),
            server,
            author,
            f"[on rgb({r},{g},{b})]    [/]",
            trit_sym,
            latency
        )
    
    console.print(table)
    console.print(f"\n[bold]GF(3) sum: {trit_sum} mod 3 = {trit_sum % 3}[/]")
    if trit_sum % 3 == 0:
        console.print("[green]✓ Triadic balance conserved[/]")
    else:
        console.print("[red]✗ Triadic imbalance detected[/]")

if __name__ == "__main__":
    traceroute()

Deploy Commands

# 1. Install dependencies
uv pip install fastmlx mlx-lm rich click

# 2. Start fastmlx server
uv run fastmlx --workers 4 &

# 3. Run color traceroute
uv run python ~/.claude/skills/mlx-color-traceroute/hoppy_traceroute.py --seed 0x42D

# 4. Start Clojure MCP with colors (requires clojure-mcp)
clojure -M:mcp -m hoppy.color-bridge

# 5. Connect nREPL with TAP colors
clojure -M:nrepl -e "(require 'hoppy.tap-colors) (hoppy.tap-colors/install-colored-tap! 0x42D)"

Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                     HOPPY COLOR TRACEROUTE                              │
├─────────────────────────────────────────────────────────────────────────┤
│                                                                         │
│  MLX (Apple Silicon)     Clojure MCP Ecosystem     Gay.jl Colors       │
│  ┌─────────────────┐     ┌──────────────────────┐  ┌──────────────┐    │
│  │ fastmlx         │◄───►│ clojure-mcp (★657)   │◄►│ SplitMix64   │    │
│  │ mlx-lm          │     │ nrepl-mcp (★34)      │  │ GF(3) trits  │    │
│  │ OpenAI compat   │     │ modex (★108)         │  │ Rec.2020     │    │
│  └─────────────────┘     │ grain (★81)          │  └──────────────┘    │
│                          └──────────────────────┘                       │
│                                    │                                    │
│                                    ▼                                    │
│                          ┌──────────────────────┐                       │
│                          │  Each hop = color    │                       │
│                          │  MINUS ⊗ ERG ⊗ PLUS  │                       │
│                          │  Sum mod 3 = 0 ✓     │                       │
│                          └──────────────────────┘                       │
│                                                                         │
└─────────────────────────────────────────────────────────────────────────┘

JAX + py-acsets Bridge

JAX Parallel Color Generation

# Run JAX-parallelized traceroute
uv run --with rich --with numpy python src/jax_acset_gay.py

# Exports Catlab-compatible JSON to /tmp/color_traceroute.json

ACSet Schema

COLOR_TRACEROUTE_SCHEMA = ACSetSchema(
    name="ColorTraceroute",
    obs=[Ob("Hop"), Ob("Agent"), Ob("Bridge")],
    homs=[
        Hom("next", "Hop", "Hop"),
        Hom("source", "Bridge", "Hop"),
        Hom("target", "Bridge", "Hop"),
    ],
    attrs=[
        Attr("hue", "Hop", "Float"),
        Attr("trit", "Hop", "Int"),  # -1, 0, +1
        Attr("server", "Hop", "String"),
    ],
)

Julia Interop

# In Julia
include("src/AcsetGayBridge.jl")
using .AcsetGayBridge

world = world_color_traceroute(0x42D, servers)
export_for_jax(world, "/tmp/traceroute.json")

# Import from Python/JAX
world2 = import_from_jax("/tmp/color_traceroute.json")

Batch Processing with vmap

from jax_acset_gay import batch_colors
import jax.numpy as jnp

# Generate 1000 colors in parallel
indices = jnp.arange(1000)
colors = batch_colors(0x42D, indices)
# colors["hues"], colors["trits"] are JAX arrays

See Also

• gay-mcp

  - Core color generation

• acsets-algebraic-databases

  - ACSets patterns

• borkdude

  - Babashka runtime selection

• cider-clojure

  - CIDER nREPL integration

• gh-interactome

  - Contributor network discovery

---

Autopoietic Marginalia

The interaction IS the skill improving itself.

Every use of this skill is an opportunity for worlding:

• MEMORY (-1): Record what was learned
• REMEMBERING (0): Connect patterns to other skills
• WORLDING (+1): Evolve the skill based on use

Add Interaction Exemplars here as the skill is used.