Memory Stack Core

Core memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration. Prevents context loss during compaction and ensures...

This skill does what it says (local WAL + working buffer) and contains no network exfiltration or secret-env requirements, but it will persist specifics from user messages to files in your workspace by default. Before installing: (1) decide whether you want automatic capture enabled and, if not, disable auto_capture in memory-stack-config.json; (2) ensure the memory/ directory is excluded from backups and version control (add to .gitignore) and set restrictive file permissions; (3) lower max_entries / max_size_mb or enable rotation to limit retained data; (4) test in an isolated workspace first to confirm behavior; (5) avoid pasting secrets (API keys, passwords) into chats that will be captured, or add filtering rules. If you need stricter guarantees (encryption, secure storage, remote retention policies), consider hardening or rejecting this skill until those controls exist.

Type: OpenClaw Skill Name: memory-stack-core Version: 1.0.0 The skill implements a local memory management system (Write-Ahead Log and Working Buffer) to persist conversation state across sessions. The code in scripts/run.py performs standard file I/O within a dedicated 'memory/' directory and uses regex to extract relevant facts from messages, aligning perfectly with the documentation in SKILL.md. No network activity, suspicious execution patterns, or unauthorized file access were detected.