SkillHub

arc-memory-pruner

v1.1.0

Automatically prune and compact agent memory files to prevent unbounded growth. Circular buffer for logs, importance-based retention for state, and configurable size limits.

Sourced from ClawHub, Authored by ArcSelf

Installation

Please help me install the skill `arc-memory-pruner` from SkillHub official store. npx skills add Trypto1019/arc-memory-pruner

Memory Pruner

Keep your agent's memory lean. Automatically prune logs, compact state files, and enforce size limits so your agent never runs out of disk or context window.

Why This Exists

Agents accumulate memory files over time. Logs grow unbounded. State files collect stale entries. Eventually your boot-up reads 50K tokens of memory and half of it is outdated. Memory Pruner enforces limits and keeps only what matters.

Commands

Prune a memory file (keep last N lines)

python3 {baseDir}/scripts/memory_pruner.py prune --file ~/wake-state.md --max-lines 200

Prune a log directory (circular buffer, keep last N files)

python3 {baseDir}/scripts/memory_pruner.py prune-logs --dir ~/agents/logs/ --keep 7

Compact a state file (remove sections matching a pattern)

python3 {baseDir}/scripts/memory_pruner.py compact --file ~/wake-state.md --remove-before "2026-02-14"

Check memory sizes

python3 {baseDir}/scripts/memory_pruner.py stats --dir ~/

Dry run (show what would be pruned)

python3 {baseDir}/scripts/memory_pruner.py prune --file ~/wake-state.md --max-lines 200 --dry-run

Features

  • Line-based pruning: Keep last N lines of any file
  • Log rotation: Circular buffer for log directories (keep last N files, delete oldest)
  • Date-based compaction: Remove entries older than a cutoff date
  • Size limits: Enforce max file sizes in bytes
  • Dry run mode: Preview changes before applying
  • Stats: Overview of memory file sizes and growth rates