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gargantua
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gargantua

Active·★ 78·AGPL-3.0·Updated 2026-10-19

Gargantua is a native macOS cleaner for developers and power users, focusing on traceability and auditable cleanup actions rather than inflated "GB found" numbers. It offers an open, agent-drivable, and explainable end-to-end cleaning solution, integrating community rules and AI assistance with robust safety guardrails.

#macOS Cleaner#Disk Space Management#Developer Tooling#Cache Management#Build Artifact Cleanup#Duplicate File Finder#AI Automation#System Maintenance
$ Install
$ brew install --cask inceptyon-labs/tap/gargantua
↗ Visit site★ GitHub
01

Features

01Deep Clean and Dev Purge using YAML-driven rules for various caches and developer artifacts.
02AI-agent automation and guarded cleanups via a local Model Context Protocol (MCP) server.
03Three-tier safety classification (`safe`, `review`, `protected`) that AI cannot override, ensuring data integrity.
04Explainability as a first-class output, providing per-item reasons for its classification and removability.
05A community rule-contribution model, making cleanup logic public, reviewed, and versioned.
02

Compatibility

macOS
OS
Verified via docs
Swift
Language
Verified via docs
Homebrew
Package Manager
Verified via docs
Apple Silicon
Architecture
Verified via docs
03

Quick start

1
$ brew install --cask inceptyon-labs/tap/gargantua
04

Use cases

↳Freeing up significant disk space on macOS by clearing caches, build artifacts, and app remnants.
↳Automating routine system maintenance and cleanup tasks for developers with safety guardrails.
↳Auditing and understanding what files are being removed and why, with transparent safety classifications.
↳Thoroughly uninstalling applications and detecting leftover support files and orphaned settings.
↳Contributing to and utilizing a community-driven, open-source ruleset for cleanup logic.
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
inceptyon-labs /
gargantua
↗

Native macOS system cleaner with YAML-driven safety rules, local AI explainability via MLX, and an MCP server for agent-controlled cleanup workflows.

78AGPL-3.0
Last commit4d ago
StatusActive
CategoryDev Tooling
Links
Documentation↗Discussion↗Issues↗Releases↗
Cloud Infrastructure
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