arc-memory-pruner
v1.1.0Automatically prune and compact agent memory files to prevent unbounded growth. Circular buffer for logs, importance-based retention for state, and configurable size limits.
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 Eventually your boot-up reads 50K tokens of memory and half of it is outdated.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