AI Coding Agent Memory & Semantic Change Control

More agents. Less cleanup. Better outcomes.

Nool coordinates your AI coding team and keeps you in control of what ships. Coding agents are airplanes. Git is the flight log. Nool is air traffic control.

  • Coordinate Claude Code, Codex, Cursor, and internal agents against one shared architecture.
  • Beat git worktrees on every coordination effort metric measured, per an independent benchmark.
  • Tie git worktrees on throughput with full semantic governance on — no coordination-speed tax.
  • Resolve which engineering decision is still current instead of returning stale answers.
  • Compute semantic blast radius before changes enter your repository.

Mechanical Proof of Self-Governance

Nool governs its own evolution. The screenshots and data on this page are live captures of Nool governing this project's development. Every semantic transition is recorded in an immutable ledger, ensuring that our AI agents never outrun their reviewed intent.

  • nool propose: Semantic intent declaration and blast radius analysis. Catch drift before implementation.
  • nool blast-radius: Structural impact analysis across architectural boundaries. Understand downstream effects.
  • nool visualize: Project-wide topology mapping. Visualize features, entities, and invariants in a semantic DAG.
  • nool task list: Fleet-wide coordination. Eliminate intent-clashes and resource contention across agents.
  • nool solidify: Immutable operational truth. Seal transitions into the permanent ledger with causal attribution.

Why Persistent Agent Memory Matters

Traditional AI coding workflows suffer from 'Vibe Coding'—fragmented context and silent regressions. Nool replaces this with governed software evolution.

  • Reduce Token Waste: Stop agents from re-indexing your entire repository. Nool provides high-fidelity semantic memory.
  • Eliminate Regressions: Detect logical conflicts that text-based diffs miss. Enforce your architecture mechanically.
  • Zero-Loss Handoffs: Preserve the 'Why' behind every change. Agents inherit the causal reasoning of previous sessions.