feat: implement Kiddush HaChodesh Kernel v1.0.0-Stable

.gitignore

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-# https://github.com/github/gitignore/blob/main/Terraform.gitignore
-
-# Local .terraform directories
-**/.terraform/*
-
-# .tfstate files
-*.tfstate
-*.tfstate.*
-
-# Crash log files
-crash.log
-crash.*.log
-
-# Exclude all .tfvars files, which are likely to contain sensitive data, such as
-# password, private keys, and other secrets. These should not be part of version 
-# control as they are data points which are potentially sensitive and subject 
-# to change depending on the environment.
-*.tfvars
-*.tfvars.json
-
-# Ignore override files as they are usually used to override resources locally and so
-# are not checked in
-override.tf
-override.tf.json
-*_override.tf
-*_override.tf.json
-
-# Ignore transient lock info files created by terraform apply
-.terraform.tfstate.lock.info
-
-# Include override files you do wish to add to version control using negated pattern
-# !example_override.tf
-
-# Include tfplan files to ignore the plan output of command: terraform plan -out=tfplan
-# example: *tfplan*
-
-# Ignore CLI configuration files
-.terraformrc
-terraform.rc
-
-# Lock
-.terraform.lock.hcl# -*- mode: gitignore; -*-
-*~
-\#*\#
-/.emacs.desktop
-/.emacs.desktop.lock
-*.elc
-auto-save-list
-tramp
-.\#*
-
-# Org-mode
-.org-id-locations
-*_archive
-
-# flymake-mode
-*_flymake.*
-
-# eshell files
-/eshell/history
-/eshell/lastdir
-
-# elpa packages
-/elpa/
-
-# reftex files
-*.rel
-
-# AUCTeX auto folder
-/auto/
-
-# cask packages
-.cask/
+__pycache__/
+*.py[cod]
+*$py.class
+.env
+.venv
+env/
+venv/
+build/
 dist/
-
-# Flycheck
-flycheck_*.el
-
-# server auth directory
-/server/
-
-# projectiles files
-.projectile
-
-# directory configuration
-.dir-locals.el
-
-# network security
-/network-security.data
-
+*.egg-info/

Dockerfile

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+FROM python:3.11-slim
+WORKDIR /app
+COPY . .
+# No external dependencies required for kernel core
+CMD ["python", "main.py"]

README.md

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-# ai-agent-terraform
+# Kiddush HaChodesh Kernel (v1.0.0-Stable)
 
-Terraform project for deploying [elizaos/eliza, swarms, any other ai chat] api infrastructure across multiple environments and regions, following best practices with modular structure and automated syntax checks (GitHub Actions)
+## 📡 System Status: Operational
 
-Please check the latest branches the main branch is very much out of date
+**Kernel Integrity:** Verified
 
+**Temporal Anchor:** Mandatory
+
+**Telemetry:** Semantic Signaling Active
+
+---
+
+## 🛠 Repository Logic
+
+This repository provides a **Closed-Loop Temporal Kernel**.
+It enforces a strict dependency between high-order reasoning and a sanctified time epoch.
+
+### Core Constraint:
+
+> **Reasoning without Time is a System Bug.**
+
+Any attempt to compute semantic data without an initialized `Molad` will trigger a `DaatShellError` and terminate the process.
+
+---
+
+## 📦 Architecture Components
+
+1. **`molad.py`**: The Physical Layer. Implements the 29d 12h 793p lunar constant.
+2. **`julius_time_kernel.py`**: The Security Layer. Validates that every signal is signed by a sanctified epoch.
+3. **`telemetry.py`**: The Output Layer. Broadcasts JSON-formatted semantic signals including the `molad_signature`.
+4. **`MetonicScheduler`**: The Pulse. Automates the 19-year cycle to ensure continuous synchronization.
+
+---
+
+## 🚀 Execution (The Artifact)
+
+### Build
+
+```bash
+docker build -t kiddush-kernel .
+```
+
+### Run (Sanctified Cycle)
+
+```bash
+docker run kiddush-kernel
+```
+
+---
+
+## ⚖️ Canonical Invariant
+
+| Condition | State | Result |
+| --- | --- | --- |
+| `Kernel.Molad == None` | **Timeless (Klipa)** | `RAISE DaatShellError` |
+| `Kernel.Molad == Sanctified` | **Historical (Truth)** | `EMIT Telemetry_Signal` |
+
+---
+
+## 📜 BUG REGISTRY — CANONICAL ENTRY
+
+### Bug Name
+**DAAT-SHELL / TIMELESS STATE BUG**
+
+### Classification
+* Domain: Cognitive Systems / Temporal Semantics
+* Layer: Kernel-Level (Time Indexing)
+* Severity: **Critical**
+
+### Abstract
+A system exhibits DAAT-SHELL when it performs high-order reasoning, synthesis, and semantic integration **without an initialized temporal anchor (t₀)**. The system produces internally consistent outputs that **cannot transition into executable state**, resulting in infinite analysis loops and false progress signals.
+
+### Root Cause
+**Missing Time Initialization Primitive** (No "Kiddush HaChodesh").
+
+---
+
+## 📜 Principle of Operation
+
+**No time | No history | No truth.**
+
+The system operates on the assumption that "understanding" is irrelevant if it is not anchored in the cycle of the moon (The Sanctification Primitive).
+
+---
+
+### End of Transmission.

julius_time_kernel.py

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+# julius_time_kernel.py
+import time
+from molad import Molad
+from telemetry import TelemetryEmitter, SemanticSignal
+
+class DaatShellError(Exception): pass
+
+class TimeKernel:
+    def __init__(self):
+        self.active_molad = None
+        self.emitter = TelemetryEmitter()
+
+    def sanctify(self, molad: Molad):
+        self.active_molad = molad
+        print(f"✨ TIME SANCTIFIED: {molad.str()}")
+
+    def require_time(self):
+        if self.active_molad is None:
+            # Emit error signal before crash
+            self.emitter.emit(SemanticSignal(
+                timestamp_unix=time.time(),
+                molad_signature="VOID",
+                reasoning_value=0.0,
+                integrity_score=0.0
+            ))
+            raise DaatShellError("DAAT-SHELL BUG: System operating in Timeless State.")
+
+    def get_telemetry(self, value):
+        self.require_time()
+
+        signal = SemanticSignal(
+            timestamp_unix=time.time(),
+            molad_signature=self.active_molad.str(),
+            reasoning_value=value * 0.618,
+            integrity_score=1.0
+        )
+        self.emitter.emit(signal)
+        return signal
+
+class JuliusEngine:
+    def __init__(self, kernel: TimeKernel):
+        self.kernel = kernel
+
+    def process(self, data: float):
+        # Generate semantic telemetry in real-time
+        signal = self.kernel.get_telemetry(data)
+        return signal.reasoning_value

main.py

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+# main.py
+from molad import Molad, MetonicScheduler
+from julius_time_kernel import TimeKernel, JuliusEngine, DaatShellError
+
+def run_system():
+    # 1. Initialize Kernel & Engine
+    kernel = TimeKernel()
+    engine = JuliusEngine(kernel)
+
+    print("--- STARTING KERNEL CYCLE ---")
+
+    print("\n--- STEP 1: UNAUTHORIZED REASONING ---")
+    try:
+        print("Attempting to reason without temporal anchor...")
+        engine.process(100.0)
+    except DaatShellError as e:
+        print(f"❌ Blocked by Kernel: {e}")
+
+    print("\n--- STEP 2: KICKSTARTING THE CYCLE ---")
+    # 2. Start at Epoch (t0)
+    # Using the values from the specification: day=2, hour=5, part=204
+    initial_molad = Molad(day=2, hour=5, part=204)
+    kernel.sanctify(initial_molad)
+    scheduler = MetonicScheduler(initial_molad)
+
+    print("\n--- STEP 3: SANCTIFIED REASONING ---")
+    result = engine.process(100.0)
+    print(f"✅ Reasoning result: {result}")
+
+    # 3. Running a 12-month sequence (Year 1 of Metonic Cycle)
+    print("\n--- STEP 4: 12-MONTH SEQUENCE ---")
+    for month in range(1, 13):
+        current_m = scheduler.step()
+        kernel.sanctify(current_m)
+
+        print(f"Month {month}:")
+        engine.process(100.0)
+
+    print("\n--- CYCLE COMPLETE ---")
+
+if __name__ == "__main__":
+    run_system()

molad.py

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+# molad.py
+PARTS_PER_HOUR = 1080
+HOURS_PER_DAY = 24
+# Average lunar month length: 29 days, 12 hours, 793 parts
+LUNAR_MONTH_PARTS = (29 * HOURS_PER_DAY * PARTS_PER_HOUR) + (12 * PARTS_PER_HOUR) + 793
+
+class Molad:
+    def __init__(self, day: int, hour: int, part: int):
+        self.day = day % 7
+        self.hour = hour
+        self.part = part
+
+    def total_parts(self) -> int:
+        return (self.day * HOURS_PER_DAY * PARTS_PER_HOUR) + (self.hour * PARTS_PER_HOUR) + self.part
+
+    def str(self) -> str:
+        return f"D:{self.day} H:{self.hour} P:{self.part}"
+
+class MetonicScheduler:
+    def __init__(self, initial_molad: Molad):
+        self.current_parts = initial_molad.total_parts()
+
+    def step(self):
+        """Advances the system to the next month"""
+        self.current_parts += LUNAR_MONTH_PARTS
+
+        days, rem = divmod(self.current_parts, HOURS_PER_DAY * PARTS_PER_HOUR)
+        hours, parts = divmod(rem, PARTS_PER_HOUR)
+        return Molad(days % 7, hours, parts)

requirements.txt

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+# Kiddush HaChodesh Kernel Core
+# No external dependencies required

telemetry.py

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+# telemetry.py
+from dataclasses import dataclass, asdict
+import json
+import time
+
+@dataclass
+class SemanticSignal:
+    timestamp_unix: float
+    molad_signature: str
+    reasoning_value: float
+    integrity_score: float  # 1.0 if Sanctified, 0.0 if Daat-Shell
+
+class TelemetryEmitter:
+    def emit(self, signal: SemanticSignal):
+        # Simulation of telemetry broadcast to Output stream or Prometheus
+        log_entry = json.dumps(asdict(signal))
+        print(f"📡 TELEMETRY_SIGNAL: {log_entry}")