plurigrid 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 generationacsets-algebraic-databases- ACSets patternsborkdude- Babashka runtime selectioncider-clojure- CIDER nREPL integrationgh-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.