CORE
Executable constitutional governance for AI-assisted software development.
AI can write code. It cannot be trusted to build complete, correct software autonomously.
CORE surrounds AI with a deterministic governance system. It does not make AI perfect — it makes AI mistakes detectable, traceable, and fixable in a controlled loop.
LLMs operate inside CORE. Never above it.
What CORE Does
CORE is a governance runtime. When an AI agent proposes a change, CORE:
- Validates it against constitutional rules before execution
- Blocks violations — hard halt, no partial states
- Logs every decision with a full audit trail
- Remediates automatically where rules permit
The result: AI-assisted development that is auditable, deterministic, and safe to run autonomously.
At full autonomy (A3), the governor's job is two things: check the dashboard, and write constitutional intent. Everything else — finding violations, proposing fixes, executing changes, verifying results — is CORE's job.
What CORE Is Not
- ❌ Not a generic LLM wrapper
- ❌ Not an autonomous coding agent you deploy and forget
- ❌ Not a CI system
- ❌ Not a replacement for human judgment
CORE is a controlled production pipeline whose purpose is to converge toward working, constitutionally compliant software.
Where to Start
New to CORE? Start with the functional description before reading the architecture:
- What It Does — what CORE is for, in plain language
Then:
- How It Works — the constitutional model and enforcement loop
- Vocabulary — every term CORE uses, defined precisely
- Autonomy Ladder — current capability level (A3) and roadmap
- Getting Started — install and run your first audit
- CLI Reference — commands and workflows
- Contributing — how to engage with the project