Back to corpus
research noteexperiment writeup candidatescore 24

Memory Defrag 🧠🔧

Memory Defrag is your AI-powered note janitor. It scans your memory files, finds duplicates and related content, suggests consolidations, and helps reorganize your second brain.

Full HTML reader

Read the full artifact

Open in new tab

Extracted abstract or opening context

--- name: memory-defrag description: AI that reorganizes your notes, finds duplicates, suggests consolidation - keep your second brain clean homepage: https://github.com/clawdbot user-invocable: true command-dispatch: defrag metadata.clawdbot: {"version": "2.0.0", "hef_generation": 6} --- Memory Defrag is your AI-powered note janitor. It scans your memory files, finds duplicates and related content, suggests consolidations, and helps reorganize your second brain. ### 🔗 Reference Graph - Detects `[[wiki-links]]`, `@mentions`, and file paths - Maps connections between notes - Identifies truly isolated content ### 📈 Growth Trends - Tracks memory growth over time - Visualizes word count and health trends - Helps identify documentation patterns ### 🌱 Freshness Decay - Exponential decay model for content freshness - Highlights stale areas needing attention - Smarter orphan detection

Promotion decision

What has to happen next

Attach run IDs, datasets, metrics, and reproduction commands.

Why this is not always a full paper yet

Corpus pages are public-safe readers for discovered workspace artifacts. They are not automatically final papers. A corpus item becomes a polished paper only after the editable source, evidence checkpoints, references, figures, render path, and release status are attached through the paper schema.