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Welcome to the Genesis Recursive Code Protocol (GRCP) Wiki! This is your comprehensive guide to understanding, using, and contributing to GRCP — an AI-native framework for autonomous invention, refinement, and deployment. GRCP evolves AI from mere code generation to full-cycle innovation, with built-in recursion, ethical safeguards, and realism checks.

As of August 12, 2025, GRCP has reached v47 ("Worth-It Realism Edition"), incorporating features like problem worthiness sprints, expected-value models (EVM), risk-tiered execution, and continuous assurance. This Wiki is community-editable; feel free to improve it via pull requests or direct edits.

Table of Contents

• Getting Started
• Protocol Overview
• Key Variants
• Notable Inventions
• CLI and Tools
• Notebooks and Demos
• Ethical and Security Guidelines
• Contributing to GRCP
• FAQ
• Changelog Summary

(For full repo structure, see README.md. To edit this Wiki, use GitHub's Wiki interface or clone the repo.)

Getting Started

GRCP is LLM-agnostic and runs by feeding protocol files into models like Grok 4, GPT-5, or Claude 3.5.

Installation

1. Clone the repo: git clone https://github.com/lazyxeon/Genesis-Recursive-Code-Protocol-.git
2. Install dependencies: pip install -r requirements.txt (for auxiliary tools like simulations).
3. Load a protocol (e.g., v47.md) into your LLM.
4. Prompt example: "Run GRCP v47 with risk tier R2: Invent a sustainable energy optimizer."

See Requirements.md for LLM and env details.

Quick Run

• Use CLI: python CLI Bundle/gcp_cli.py --version 47 --prompt "Your idea" --full-run
• For notebooks: Open in Jupyter, e.g., Adaptive QoS Allocator.ipynb

Protocol Overview

GRCP follows a recursive, phased workflow:

1. Phase -1: Problem discovery and worth-it sprint (EVM, non-tech alternatives).
2. Phase 0: Domain profiling and risk tiering.
3. Discovery: ToT ideation and baselines.
4. Refinement: Debates, mutations.
5. Synthesis: Code generation and simulation.
6. Validation: Benchmarks, audits.
7. Productization: Deployment-ready outputs.
8. Assurance: Continuous monitoring and rollbacks.

See Charts.md for flowcharts and timelines.

Key Variants

GRCP variants build progressively. Full files in GRCP most recent variants/.

Version	Edition	Highlights	Link
v9	Recursive Emergence	AdaptiveTopoNet, ontological proxies	V09.md
v10	Agentic Quantum	Quantum-inspired search, autonomy	V10.md
v11	Neuroscience-MultiModal	Multimodal fusion	V11.md
...	...	...	...
v43.7	REA Edition	Mutation refinements	V43.7.md
v45.6	Performance-First	Optimization gates	V45.6.md
v46	IRONCLAD FIELD-TEST	Field-readiness, provenance	V46.md
v47	WORTH-IT REALISM	EVM, continuous assurance	V47.md

Changelog: Changelog.md

Notable Inventions

GRCP has produced inventions like:

• AlloyScript: AI-native lang with 40-43% perf gains. See Alloyscript.py.
• EV Charging Optimizer: v47 run reducing wait times. Full: Known EV issue Full Run, GCPv47.md.
• Quantum Harnesser: Optimization tools. Quantum Mechanics Full Run.md.
• Others: See master list A Complete Full runs, Full Inventions Master List(no order).md.

CLI and Tools

Automate runs with the CLI Bundle. See CLI_Readme.md for details.

• Main: gcp_cli.py
• Phases: phase1.py, etc.
• Utils: audit_utils.py

Notebooks and Demos

Hands-on examples in Notebooks/:

• Adaptive QoS Allocator.ipynb
• JACCO.ipynb
• MOSAIC.ipynb
• Full Runs subfolder: EV, Quantum, Solar, Latch.

Ethical and Security Guidelines

GRCP emphasizes ethics:

• Proxies for emergence/personhood.
• Fairness deltas in audits.
• Security: See SECURITY.md for vulnerability reporting.

Analyses: AI Grok Critical Analysis GCP V46.md, etc.

Contributing to GRCP

Follow Contributing.md. Use templates for issues/PRs.

FAQ

• How to run v47? Load V47.md into LLM and prompt with risk tier.
• Dependencies? See Requirements.md.
• Custom variants? Fork and add to GRCP most recent variants/.

Changelog Summary

See full Changelog.md for details from v9 to v47.

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(To add more Wiki pages, create them via GitHub: e.g., "Protocol-Overview" for deep dives. Edit this Home page as needed.)

Usable on Major LLM's Grok/Claude/Chatgpt/Gemini. Personally found GPT to have smoothest and best workflow when running.