Openclaw Memorybox

Skill Verified Active

Memory health CLI that diagnoses bloated MEMORY.md files, splits oversized sections into domain files, archives stale daily logs, and runs continuous health monitoring. Use when MEMORY.md exceeds 10KB, context windows overflow from memory bloat, or agent sessions slow down from loading large memory files. Pure bash, zero dependencies.

Purpose

To maintain the health and performance of AI agent memory files, preventing issues like context overflow and agent crashes by keeping memory lean and organized.

Features

Diagnoses memory health and size analysis
Splits oversized memory sections into domain files
Archives stale daily logs automatically
Monitors memory health via a background daemon
Pure bash with zero external dependencies

Use Cases

When MEMORY.md exceeds 10KB
When context windows overflow due to memory bloat
When agent sessions slow down from loading large memory files
To automate memory cleanup for 24/7 AI agents

Non-Goals

Replacing AI memory engines (e.g., Mem0, Supermemory)
Modifying agent configuration or internal workings
Handling agent core logic or decision-making

Installation

npx skills add Ramsbaby/openclaw-memorybox

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified

99 /100

Analyzed about 18 hours ago

Trust Signals

Last commit17 days ago

GitHub owner Ramsbaby

Stars9

LicenseMIT

Websiteramsbaby.netlify.app

Status

View Source

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