superclaw-autodream

Consolidate OpenClaw memory by organizing, de-duplicating, merging, and indexing topics.

9|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/liuzeming-yuxi/SuperClaw --skill superclaw-autodream
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: superclaw-autodream
Source: https://github.com/liuzeming-yuxi/SuperClaw/tree/main/skills/autodream
Command: npx skills add https://github.com/liuzeming-yuxi/SuperClaw --skill superclaw-autodream

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AutoDream automates memory consolidation for OpenClaw by organizing, de-duplicating, merging, repairing, and indexing memory sources to keep context fresh and consistent.

Core Features & Use Cases

  • Phase-based memory management: orient, gather signal, consolidate, prune & index to maintain a compact, up-to-date memory map.
  • Incremental updates: ingest recent daily notes and completed tasks, derive valuable signals, and merge into topic files with de-duplication.
  • Safe, idempotent operation: run repeatedly without duplicating results, updating state files such as autodream-state.json and a run history.

Quick Start

Trigger autodream to consolidate memory by running the start command and letting it update MEMORY.md.

Frequently Asked Questions about superclaw-autodream

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

FAQPage Schema
How do I consolidate and de-duplicate OpenClaw memory files automatically?

OpenClaw memory consolidation and de-duplication can be automated by triggering a four-phase process that merges, repairs, and indexes topic files. This organizes memory sources to keep context fresh and consistent.

How does memory consolidation handle incremental updates from daily notes?

Memory consolidation handles incremental updates by gathering signals from recent daily notes and completed tasks over the past 7 days. It then merges these new signals into existing topic files while de-duplicating redundant entries.

Can I safely run memory indexing repeatedly without duplicating results?

Yes, memory indexing is designed to be safe and idempotent, meaning you can run it repeatedly without duplicating results. It tracks state updates in a dedicated JSON file and maintains a run history to prevent redundant processing.

What do I need to set up before starting automated memory management?

Automated memory management requires existing memory files in your MEMORY.md file and corresponding topic files. Once these sources are present, the consolidation process can orient, gather signals, and prune automatically.

What is the best way to trigger automatic memory consolidation for OpenClaw?

The best way to trigger automatic memory consolidation is via an agent-check or manual invocation. Once started, the system automatically processes the four phases—orient, gather signal, consolidate, prune & index—to update your memory map.

Why does memory consolidation need a prune and index phase?

The prune and index phase is needed to remove outdated or redundant memory sources and rebuild a compact, searchable index. This ensures the memory map remains up-to-date and consistent for future context retrieval.