Productivity

memory-defrag

basicmachines-co/basic-memory-skills · updated Apr 8, 2026

$npx skills add https://github.com/basicmachines-co/basic-memory-skills --skill memory-defrag
summary

Reorganize memory files for clarity, efficiency, and relevance. Like filesystem defragmentation but for knowledge.

skill.md

Memory Defrag

Reorganize memory files for clarity, efficiency, and relevance. Like filesystem defragmentation but for knowledge.

When to Run

  • Periodic: Weekly or biweekly via cron (recommended)
  • On demand: User asks to clean up, reorganize, or defrag memory
  • Threshold: When MEMORY.md exceeds ~500 lines or daily notes accumulate without consolidation

Process

1. Audit Current State

Inventory all memory files:

MEMORY.md           — long-term memory
memory/             — daily notes, tasks, topical files
memory/tasks/       — active and completed tasks

For each file, note: line count, last modified, topic coverage, staleness.

2. Identify Problems

Look for these common issues:

Problem Signal Fix
Bloated file >300 lines, covers many topics Split into focused files
Duplicate info Same fact in multiple places Consolidate to one location
Stale entries References to completed work, old dates, resolved issues Remove or archive
Orphan files Files in memory/ never referenced or updated Review, merge, or remove
Inconsistencies Contradictory information across files Resolve to ground truth
Poor organization Related info scattered across files Restructure by topic
Recursive nesting memory/memory/memory/... directories Delete nested dirs (indexer bug artifact)

3. Plan Changes

Before making edits, write a brief plan:

## Defrag Plan
- [ ] Split MEMORY.md "Key People" section → memory/people.md
- [ ] Remove completed tasks older than 30 days from memory/tasks/
- [ ] Merge memory/bm-marketing-ideas.md into memory/competitive/
- [ ] Update stale project status entries in MEMORY.md

4. Execute

Apply changes one at a time:

  • Split: Extract sections from large files into focused topical files
  • Merge: Combine related small files into coherent documents
  • Prune: Remove information that is no longer relevant or accurate
  • Restructure: Move files to appropriate directories, rename for clarity
  • Update: Fix outdated facts, dates, statuses

5. Verify & Log

After changes:

  • Verify no information was lost (compare before/after)
  • Update any cross-references between files
  • Log what was done in today's daily note:
## Memory Defrag (HH:MM)
- Files reviewed: N
- Split: [list]
- Merged: [list]
- Pruned: [list]
- Net result: X files, Y total lines (was Z lines)

Guidelines

  • Preserve raw daily notes. Don't delete or modify memory/YYYY-MM-DD.md files — they're the audit trail.
  • Target 15-25 focused files. Too few means bloated files; too many means fragmentation. Aim for the sweet spot.
  • File names should be scannable. Use descriptive names: people.md, project-status.md, competitive-landscape.md — not notes-2.md.
  • Don't over-organize. One level of directories is usually enough. memory/tasks/ and memory/competitive/ are fine; memory/work/projects/active/basic-memory/notes/ is not.
  • Completed tasks: Tasks with status: done older than 14 days can be removed. Their insights should already be in MEMORY.md via reflection.
  • Ask before destructive changes. If uncertain whether information is still relevant, keep it with a (review needed) tag rather than deleting.
general reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    memory-defrag is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Sep 9, 2024

    Keeps context tight: memory-defrag is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Aug 8, 2024

    Registry listing for memory-defrag matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Sakshi Patil· Jul 7, 2024

    memory-defrag reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Ganesh Mohane· Jun 6, 2024

    I recommend memory-defrag for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· May 5, 2024

    Useful defaults in memory-defrag — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Apr 4, 2024

    memory-defrag has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Rahul Santra· Mar 3, 2024

    Solid pick for teams standardizing on skills: memory-defrag is focused, and the summary matches what you get after install.

  • Pratham Ware· Feb 2, 2024

    We added memory-defrag from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Yash Thakker· Jan 1, 2024

    memory-defrag fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.