AI Coding Agent Memory & Semantic Change Control

State-Bound Execution

State-bound execution ensures that an agent's plan is only executed if the repository state matches the state the plan was designed for.

Formal TLA+ safety models for transition binding.
Eliminating the 'Stale Plan' regression class.
Atomic solidification of multi-file semantic units.

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.