AI Coding Agent Memory & Semantic Change Control

nool propose

nool propose creates a candidate transition that can be inspected before solidification. It is where intent and implementation become reviewable.

Declare the user-visible or architectural intent.
Add justification when blast radius expands.
Inspect the candidate before solidifying high-risk changes.

Nool: Agentic Change Control and AI Governance Platform

Nool adds semantic impact analysis, policy gates, causal reasoning preservation, and operational memory to Git-based AI coding workflows. It provides the essential governance layer for autonomous engineering, ensuring that AI-authored code changes are release-safe, attributable, and architecturally consistent.

Key features include semantic blast radius calculation, AI code review memory, governed semantic merges, multi-agent coordination, and state-bound execution. Nool enables engineering teams to ship software at agentic speeds without sacrificing reliability or long-term maintainability.