AI Coding Agent Memory & Semantic Change Control

Nool policies and invariant enforcement

Use declarative rules and sandboxed policy modules to enforce architecture, security, test, and release requirements before changes become canonical.

Author YAML or JSON invariants without compilation.
Run sandboxed WASM policies for complex deterministic rules.
Bind checks to propose, solidify, push, and doctor stages.

Nool: AI Engineering Governance & Agent Reliability

The governance layer for AI-native engineering teams

Nool governs each repository and coordinates the workspace above it. Engineering leaders can turn cross-project goals into real child-ledger tasks, roll release health and operating metrics upward, and trace delivery back to signed implementation evidence.

Built for engineering managers, CTOs, and principal engineers who need one recursive control model from organizational intent to project execution without creating a shadow management ledger.

Key capabilities: workspace topology reconciliation, goal-to-task decomposition, conservative release-health rollups, child-ledger insights, dependency-ordered coordination, semantic blast radius analysis, provenance, and policy-gated changes.