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CLI Utilities @trypto1019 Updated 2/17/2026

🧹 Arc Memory Pruner OpenClaw Plugin & Skill | ClawHub

Looking to integrate Arc Memory Pruner into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate cli utilities tasks instantly, without having to write custom tools from scratch.

What this skill does

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

Install

npx clawhub@latest install arc-memory-pruner

Full SKILL.md

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

SKILL.md content below is scrollable.

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 Eventually your boot-up reads 50K tokens of memory and half of it is outdated.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
Original Repository URL: https://github.com/openclaw/skills/blob/main/skills/trypto1019/arc-memory-pruner
Latest commit: https://github.com/openclaw/skills/commit/5e4941b5bebb6c27d016ae03199b0e8ff20b18df

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