/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.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install auto-dream-light - 安装完成后,直接呼叫该 Skill 的名称或使用
/auto-dream-light触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Auto Dream Light 是什么?
Lightweight, memory-safe Auto Dream workflow for OpenClaw that consolidates recent notes into existing memory files without replacing the user’s current memo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 89 次。
如何安装 Auto Dream Light?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install auto-dream-light」即可一键安装,无需额外配置。
Auto Dream Light 是免费的吗?
是的,Auto Dream Light 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Auto Dream Light 支持哪些平台?
Auto Dream Light 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Auto Dream Light?
由 mrgyan(@mrgyan)开发并维护,当前版本 v0.1.1。