Flamehaven-Governance-Core
FGC is an experimental architecture for running LLM tasks through a controlled pipeline. It is best understood as a "governance wrapper" around AI usage, not as a standalone AI model.
Private Repository
This system is listed as a B2B case note. The repository itself is not public; the page is here to show the architecture thesis and engagement relevance.
About This Work
This codebase is a prototype and should not be treated as a production safety system.
Repository Overview
This codebase is a prototype and should not be treated as a production safety system.
README Core
FGC is an experimental architecture for running LLM tasks through a controlled pipeline. It is best understood as a "governance wrapper" around AI usage, not as a standalone AI model.
This repo is a rebrand/split of the former "Flamehaven-NNSL" prototype; you may still see legacy "NNSL" names in internal modules.
This codebase is a prototype and should not be treated as a production safety system.
Use & Documentation
Detailed installation, commands, examples, and deeper usage notes live in the repository README and docs.
README Map
- What is FGC in this repo?
- Where can it be used?
- Architecture (high level)
- Quick Start
- CLI examples
- Config and security notes
Key Signals
- An invocation entry point with drift and stability tracking.
- Safety checks (FlameModal) and ethics scoring (EthicsController).
- An optional boundary layer (NCIP) for external AI providers with alignment scoring.
- Guarded LLM calls for prototypes: one place to enforce checks and collect telemetry.
- Research demos: drift scoring, safety/ethics heuristics, alignment scoring loops.
Announcements
synced Mar 13, 2026