AI Coding Agent Memory & Semantic Change Control

Multi-Agent Soul Loops

Give each agent a soul, run them in a governed propose-review-solidify loop, and measure the output deterministically. Nool turns parallel agents into an accountable engineering workforce.

Souls: durable personas with a charter, model, memory, and budget.
Loop: announce → lease → propose → council review → solidify or replan.
Measure: nool insights, nool usage, and signed Council Evidence.

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.