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FileMayorby Chevza
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FileMayor vs Hazel.

Hazel has been the reference Mac file automation tool for over a decade. It is respected, mature, and well-designed. FileMayor is a different shape: AI planning, cross-platform reach, and the Curative Triad safety model. Both tools are good at what they do. They are good at different things.

The decision matrix.

 FileMayorHazel
PlatformsmacOS · Windows · Linux · CLI · PWAmacOS only
PricingFree · Pro $5.99/mo · Enterprise $24.99/mo$42 one-time
Interaction modelCurative Triad — explain, cure, apply, undoRules engine — write IF/THEN rules per folder
AI planningYes — Gemini 2.0 Flash, optional, local-firstNo
RollbackFull session journal · `undo --all`No native undo for batched moves
Watch modeYes (Pro)Yes — core feature
Scripting14 CLI commands · `--json` everywhereAppleScript / shell scripts via rules
TelemetryNoneNone
Open sourceCLI engine on npm · UI proprietaryProprietary
Best forAnyone who wants AI + safety + rollback, on any OSMac power users who like writing explicit rules

Mac-only and rules-first.

If you are on macOS exclusively, prefer writing explicit IF/THEN rules over describing intent in natural language, and want a one-time-purchase tool with a long maintenance history, Hazel is excellent. The rules engine is mature, and AppleScript integration unlocks anything macOS exposes.

Cross-platform, AI-planned, reversible.

FileMayor exists for the cases Hazel does not cover well: Windows and Linux machines, teams that want a shared CLI workflow, anyone who would rather describe what they want in plain English than write rules, and anyone who wants the safety net of a full-session undo on every operation.

The Curative Triad — explain → cure → apply — separates planning from execution by design. The Chevza Doctrine ensures that even when an AI proposes a destructive plan, six layers of safety architecture sit between the proposal and your filesystem.

They do not conflict. Hazel can govern a watched folder while FileMayor handles the larger session organization. Many teams run them side by side.