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deepsleep

Consolidate cross-session AI agent memory with nightly summaries and per-group restoration.

1|Updated Mar 30, 2026
Search Tags:#ai#memory#session-management#privacy-safety#cron-scheduling#deepsleep
One-click install
npx skills add https://github.com/Arry8/openclaw-edge --skill deepsleep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deepsleep
Source: https://github.com/Arry8/openclaw-edge/tree/main/skills/deepsleep
Command: npx skills add https://github.com/Arry8/openclaw-edge --skill deepsleep

SYSTEM DOCUMENTATION & REQUIREMENTS

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.

Frequently Asked Questions about deepsleep

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I preserve AI agent context across multiple chat sessions?▼

To preserve AI agent context across multiple chat sessions, implement a two-phase memory workflow that pulls conversation history nightly and writes daily memory files to consolidate cross-session context automatically.

What is the best way to schedule automatic memory consolidation for AI agents?▼

The best way to schedule automatic memory consolidation for AI agents is configuring cron jobs to trigger nightly history pulls and morning dispatches, ensuring cross-session memory is merged and restored without manual intervention.

How does per-group memory isolation work for AI agents in different chats?▼

Per-group memory isolation works by storing individual chat context in separate memory files, ensuring specific group memories are restored on demand while preventing cross-chat data leakage during session memory restoration.

Can I prevent sensitive MEMORY.md data from leaking into daily AI summaries?▼

Yes, you can prevent sensitive MEMORY.md data from leaking into daily AI summaries by applying built-in privacy safeguards during the memory consolidation workflow to isolate core memory from generated daily history files.

How to restore per-group memory context for a new AI chat session?▼

To restore per-group memory context for a new AI chat session, trigger an on-demand memory restore process that reads the specific group memory file and injects prior context into the active session.

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