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Fix formatting in README.md header and status section
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README.md

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# ?? **Gravity Binary (v0.1 Architecture)**
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## **Overview**
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Gravity Binary is a consequence-aware reasoning architecture designed to structure, validate, and execute intent in a deterministic, inspectable, and auditable way. The system treats “intent” as a first-class computational object, enabling controlled execution pipelines that preserve provenance, enforce constraints, and maintain predictable behavior across chained reasoning steps.
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This repository contains the **v0.1 Core Architecture**, representing the foundational execution layer of the system. Higher-level layers (Reflex, Validators, Registry, etc.) build on top of this core.
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## **Core Principles**
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### **1. Intent as a Structured Object**
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Intent is not free-form text.
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It is a structured frame containing declared purpose, constraints, provenance, execution metadata, and safety boundaries.
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### **2. Deterministic Execution**
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Every execution step is validated, constrained, traced, signed, and stored.
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### **3. Consequence-Aware Design**
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The system evaluates what the intent is, what it could do, what it should do, and what it must not do before execution.
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### **4. Modular, Inspectable Architecture**
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Each component in /core is isolated, testable, and designed to be reasoned about independently.
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## **Core Architecture (v0.1)**
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### **intent_frame.py**
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Defines the Intent Frame — the atomic reasoning unit.
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### **capsule.py**
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Implements Capsules, which wrap executable logic with metadata and lifecycle hooks.
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### **validator.py**
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Validates Intent Frames and Capsules for structural correctness and constraint satisfaction.
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### **provenance.py**
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Tracks the lineage of every execution step.
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### **constraint_engine.py**
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Evaluates and enforces constraints attached to frames or capsules.
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### **chaining.py**
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Implements deterministic chaining of frames and capsules.
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### **signature.py**
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Defines execution signatures for compatibility checks.
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### **storage.py**
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Provides lightweight storage utilities for state passing and caching.
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### **execution_engine.py**
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The orchestrator for executing frames and capsules.
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### **test_engine_full.py**
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A full-stack test harness validating chaining, execution, provenance, and constraint enforcement.
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## **Execution Flow (High-Level)**
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Intent Frame ? Validation ? Constraint Evaluation ? Capsule Execution
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? ? Provenance ? Signature Check ? Storage Hooks ? Chaining Logic ? Output
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## **Versioning Philosophy**
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### **v0.1 — Core Architecture**
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The first stable, inspectable foundation of the system.
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### **v0.2+ — Intelligence Layers**
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Future versions introduce Reflex, Validator, Registry, trust scoring, and higher-order reasoning.
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## **Status**
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**Gravity Binary (v0.1 Architecture)**
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## **Overview**
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Gravity Binary is a consequence-aware reasoning architecture designed to structure, validate, and execute intent in a deterministic, inspectable, and auditable way. The system treats “intent” as a first-class computational object, enabling controlled execution pipelines that preserve provenance, enforce constraints, and maintain predictable behavior across chained reasoning steps.
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This repository contains the **v0.1 Core Architecture**, representing the foundational execution layer of the system. Higher-level layers (Reflex, Validators, Registry, etc.) build on top of this core.
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## **Core Principles**
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### **1. Intent as a Structured Object**
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Intent is not free-form text.
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It is a structured frame containing declared purpose, constraints, provenance, execution metadata, and safety boundaries.
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14+
### **2. Deterministic Execution**
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Every execution step is validated, constrained, traced, signed, and stored.
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### **3. Consequence-Aware Design**
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The system evaluates what the intent is, what it could do, what it should do, and what it must not do before execution.
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### **4. Modular, Inspectable Architecture**
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Each component in /core is isolated, testable, and designed to be reasoned about independently.
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## **Core Architecture (v0.1)**
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### **intent_frame.py**
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Defines the Intent Frame — the atomic reasoning unit.
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### **capsule.py**
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Implements Capsules, which wrap executable logic with metadata and lifecycle hooks.
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### **validator.py**
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Validates Intent Frames and Capsules for structural correctness and constraint satisfaction.
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### **provenance.py**
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Tracks the lineage of every execution step.
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### **constraint_engine.py**
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Evaluates and enforces constraints attached to frames or capsules.
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### **chaining.py**
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Implements deterministic chaining of frames and capsules.
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### **signature.py**
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Defines execution signatures for compatibility checks.
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### **storage.py**
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Provides lightweight storage utilities for state passing and caching.
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49+
### **execution_engine.py**
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The orchestrator for executing frames and capsules.
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### **test_engine_full.py**
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A full-stack test harness validating chaining, execution, provenance, and constraint enforcement.
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## **Execution Flow (High-Level)**
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Intent Frame ? Validation ? Constraint Evaluation ? Capsule Execution
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? ? Provenance ? Signature Check ? Storage Hooks ? Chaining Logic ? Output
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## **Versioning Philosophy**
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### **v0.1 — Core Architecture**
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The first stable, inspectable foundation of the system.
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### **v0.2+ — Intelligence Layers**
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Future versions introduce Reflex, Validator, Registry, trust scoring, and higher-order reasoning.
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## **Status**
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The core architecture is fully published and validated.

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