/install auto-dream-light
Auto Dream Light
A lightweight, memory-safe Auto Dream skill for OpenClaw that works with the memory system the user already has.
What this skill is for
Use this skill when the user wants:
- on-demand memory consolidation
- a lightweight “dream” workflow
- a dream log with execution history
- a gradual path from manual to semi-automatic memory cleanup
- memory consolidation without replacing the current
MEMORY.mdstructure
This skill is intentionally conservative:
- it does not rebuild the memory architecture
- it does not introduce dashboards, indexes, or archives by default
- it does not assume the user's memory follows a template
- it prefers small, explicit, high-value updates
Why install it
- works with existing
MEMORY.mdandmemory/ - makes conservative, incremental updates
- avoids noisy or fake “productivity” output
- keeps runs easy to review and audit
- supports a clean path from manual runs to semi-automatic operation
Core idea
Instead of forcing a new memory system, this skill works with the one the user already has.
Default approach:
- scan recent daily logs
- extract durable, high-value information
- route items to the correct destination
- update memory incrementally
- record the run in a dream log
- return a concise summary to the user
Read these references when needed
- Read
references/adapted-plan.mdbefore designing or changing the workflow. - Read
references/manual-run.mdwhen running the workflow manually. - Read
references/semi-auto.mdwhen the user wants a fixed trigger-based flow or wants to prepare for cron later.
Default file roles
Typical targets:
MEMORY.md→ long-term facts, stable preferences, system conclusions, reusable lessonsmemory/projects/**→ project-specific contextmemory/system/auto-dream-log.md→ dream execution history onlymemory/YYYY-MM-DD.md→ raw daily notes; only add a consolidation marker when appropriate
Operating rules
- Preserve the existing memory structure.
- Prefer project files over stuffing everything into
MEMORY.md. - Skip low-value chat, tests, and one-off noise.
- Do not invent memory just to make a run look productive.
- If there is nothing worth consolidating, explicitly skip and say so.
Trigger guidance
Typical trigger phrases:
- "整理记忆"
- "dream now"
- "跑 dream"
- "做一次记忆整理"
- "跑一次适配版 auto dream"
If the user says dream details, show recent dream-log history instead of running a new consolidation.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-dream-light - After installation, invoke the skill by name or use
/auto-dream-light - Provide required inputs per the skill's parameter spec and get structured output
What is Auto Dream Light?
Lightweight, memory-safe Auto Dream workflow for OpenClaw that consolidates recent notes into existing memory files without replacing the user’s current memo... It is an AI Agent Skill for Claude Code / OpenClaw, with 89 downloads so far.
How do I install Auto Dream Light?
Run "/install auto-dream-light" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Dream Light free?
Yes, Auto Dream Light is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Dream Light support?
Auto Dream Light is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Dream Light?
It is built and maintained by mrgyan (@mrgyan); the current version is v0.1.1.