cocapn-snapkit 2.7.0

Eisenstein lattice snap, temporal analysis, connectome detection, harmony governor, and hypothesis sandbox

snapkit-v2

The Architecture of Harmony — a triadic cognitive architecture for multi-agent systems based on the Free Energy Principle.

What is this?

snapkit-v2 is a constraint-geometry toolkit that implements FEP (Free Energy Principle) cognition for AI agents. Each agent operates on the Eisenstein A₂ lattice, communicates via MIDI-style temporal events, and is monitored by a Harmony Governor that measures "friction" — the degree to which an agent's internal model fails to predict its sensory inputs.

The Triadic Architecture

┌─────────────────────────────────────────┐
│  Layer 3: Executive (Agency)            │
│  Wakes on friction alarm, improvises    │
│  (rewrites constraints, cross-wires I/O)│
└──────────────────┬──────────────────────┘
                   │ tuning forks
                   ▼
┌─────────────────────────────────────────┐
│  Layer 2: Harmony Governor              │
│  Measures cognitive friction (Φ)        │
│  Triggers Executive when Φ > deadband   │
└──────┬───────────────────────┬──────────┘
       │ MIDI ch 0             │ MIDI ch N
       ▼                       ▼
┌──────────────┐      ┌──────────────┐
│  Layer 1     │      │  Layer 1     │
│  Sandbox     │      │  Sandbox     │
│  Forward     │      │  Forward     │
│  simulation  │      │  simulation  │
└──────────────┘      └──────────────┘

Install

pip install cocapn-snapkit

From source:

git clone https://github.com/SuperInstance/snapkit-v2
cd snapkit-v2
pip install -e .

For MIDI hardware support:

pip install cocapn-snapkit[midi]

Quick Start

Run the integration demo

python3 examples/harmony_demo.py

Simulates a fishing boat in calm → rough seas. Shows the full triadic architecture in action.

View the maritime token lattice

snapkit lattice

Run the harmony monitor

snapkit harmony --period 1.0 --deadband 1.5

Listen to the harmony

from snapkit.audio import harmony_demo_audio
harmony_demo_audio("/tmp/harmony.wav")

Use as a library

from snapkit.governor import HarmonyGovernor
from snapkit.sandbox import HypothesisSandbox
from snapkit.executive import ExecutiveAgent
from snapkit.midi_io import MIDIBridge
from snapkit.clever_tokens import create_maritime_lattice

# Set up the triadic architecture
gov = HarmonyGovernor()
gov.register_channel("helm", channel=0)

sandbox = HypothesisSandbox(sensor_name="heading")
sandbox.set_action_range(-1.0, 1.0, step=0.1)

executive = ExecutiveAgent(gov)
executive.register_agent("helm", channel=0)

bridge = MIDIBridge(governor=gov)
bridge.register_sensor("heading", lo=0, hi=360)

# In your main loop:
gov.tick()
phi = sandbox.evaluate(sensor_current=heading, target_sensor=target)
sandbox.observe(action_taken=best_action, sensor_before=h, sensor_after=h2)
gov.record_observation("helm", prediction=p, actual=h2)

# When something breaks:
results = executive.handle_alarms()

Physical Hardware

ESP32 + MPU6050 IMU

See firmware/esp32_mpu6050_imu/. Flash the Arduino sketch, connect to a serial port, and feed IMU data to the MIDI bridge:

import serial, json
from snapkit.midi_io import MIDIBridge

bridge = MIDIBridge(governor=gov)
ser = serial.Serial('/dev/ttyUSB0', 115200)

while True:
    line = ser.readline()
    data = json.loads(line)
    if 'roll' in data:
        bpm = bridge.feed_roll(data['roll'])
        print(f"Hull tempo: {bpm:.1f} BPM")

Architecture Layers

Module	Purpose
eisenstein.py	Geometric constraint space (A₂ lattice)
temporal.py	BeatGrid, T-minus-0 detection
spectral.py	Entropy, Hurst exponent, autocorrelation
connectome.py	Coupled/anti-coupled room detection
midi.py	FluxTensorMIDI protocol
midi_io.py	Bridge to physical sensors
clever_tokens.py	Lattice-anchored constraint tokens
sandbox.py	Layer 1: Forward simulation + óthismos scoring
governor.py	Layer 2: FEP friction monitoring
executive.py	Layer 3: Improvisation protocol
fleet.py	Multi-vessel coordination
othismos_bridge.py	Connects to the othismos library
audio.py	Synthesize MIDI bus as audio (listen to harmony)
cli.py	Command-line tools

Web Dashboard

Open examples/harmony_dashboard.html in a browser for a real-time view of:

• Per-channel friction state
• Hull-derived tempo
• MIDI piano roll
• Event log

For a live deployment, serve the dashboard from a Fleet Coordinator:

docker run -p 8000:8000 snapkit-v2

JavaScript / TypeScript

The core primitives are available in TypeScript at js/snapkit.ts for browser-side use:

import { HarmonyGovernor, BeatGrid, TokenLattice } from './snapkit.js';

const gov = new HarmonyGovernor();
gov.registerChannel('helm', 0, 1.5);
gov.tick();
gov.recordObservation('helm', 180.0, 182.0);
console.log(gov.systemState());

Related Repos

• othismos — Constraint pressure theory
• constraint-theory-core — Algebraic primitives
• style-dna — Musical DNA extraction
• snapkit-js — Full JS port
• spline-midi-smooth — MIDI interpolation
• AI-Writings — Reflections and essays

Documentation

• Architecture of Harmony — The full white paper
• ESP32 firmware — Physical sensor layer
• Integration demo — Worked example

License

MIT

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The hull sets the beat. The agents sync to the ocean.