deepsleep
CommunityTwo-phase memory persistence for AI agents.
AuthorArry8
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Cross-session context is frequently lost as AI agents interact across conversations. DeepSleep delivers a two-phase memory workflow to persist and consolidate memory between sessions.
Core Features & Use Cases
- Phase 1: Deep Sleep Pack (23:40) auto-discovers sessions, pulls conversation history, and writes a daily memory file to memory/YYYY-MM-DD.md.
- Phase 2: Morning Dispatch (00:10) reads yesterday's summary and sends per-group briefs, including reminders and open questions.
- Phase 3: Session Memory Restore on demand reads per-group memory (memory/groups/<chat_id>.md) to restore context for a new session.
- Privacy & safety: ensures MEMORY.md data is not leaked into daily summaries and supports per-group isolation.
Quick Start
Configure cron to run Phase 1 at 23:40 and Phase 2 at 00:10, create memory/storage directories, and initialize memory/schedule files.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deepsleep Download link: https://github.com/Arry8/openclaw-edge/archive/main.zip#deepsleep Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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