What problem does it solve?
Prevents AI and human teammates from operating on stale, conflicting, or bloated project knowledge by reconciling agent memory and project documentation with the current codebase state.
Core Features & Use Cases
- Knowledge reconciliation & anti-rot editing: Reviews and edits CLAUDE.md/AGENTS.md, README, and docs/ to merge duplicates, fix outdated rules, and remove obsolete history.
- Audience-correct documentation: Ensures “rules for the next agent” live in CLAUDE.md/AGENTS.md while “how outsiders/users should use the project” stays in docs/ and README.
- Anti-overgrowth guardrails: Enforces size limits and avoids stuffing historical narratives into CLAUDE.md, keeping prompts usable and actionable.
- Cross-layer consistency checks: Handles scope mapping via a change-impact matrix and highlights cross-project doc alignment requirements.
Quick Start
Ask your AI to run neat-freak by saying: sync up the project knowledge across memory, CLAUDE.md/AGENTS.md, README.md, and docs/ by reconciling anything stale or contradictory with the current codebase.