Question 1

What is DreamCleanr?

Accepted Answer

DreamCleanr is a macOS utility that finds and removes AI-generated artifacts, stale developer files, orphaned Docker containers, and system noise. It reclaims disk space and keeps your Mac running fast — especially if you work with AI models, coding projects, or containerized environments that accumulate gigabytes of hidden waste.

Question 2

What files does DreamCleanr clean up?

Accepted Answer

DreamCleanr targets five categories: (1) AI artifacts — model checkpoints, cached embeddings, generated outputs, and training data remnants from tools like Ollama, Stable Diffusion, and Hugging Face. (2) Dev noise — orphaned node_modules, .venv directories, build artifacts, and unused dependencies. (3) Container waste — stopped Docker containers, dangling images, and unused volumes. (4) System junk — stale logs, expired caches, and temp files. (5) IDE clutter — old workspace caches from VS Code, Xcode, and JetBrains.

Question 3

Is DreamCleanr safe to use?

Accepted Answer

Yes. DreamCleanr never deletes files without confirmation. Every scan produces a categorized report showing exactly what will be removed and how much space you'll recover. Safe-delete mode moves files to a recoverable staging area for 7 days before permanent removal, so you can undo any cleanup.

Question 4

How much disk space can DreamCleanr recover?

Accepted Answer

Developers and AI practitioners typically recover 15-80 GB on first scan. A single Ollama model cache can exceed 20 GB; a forgotten node_modules tree can hold 5-10 GB per project. DreamCleanr shows a before/after disk usage comparison so you can see exactly what you gained.

Question 5

Does DreamCleanr work with Apple Silicon Macs?

Accepted Answer

DreamCleanr runs natively on Apple Silicon (M1, M2, M3, M4) and Intel Macs running macOS 13 Ventura or later. It's optimized for Apple Silicon's unified memory architecture to scan large file trees without impacting system performance.