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openclaw-auto-dreamOpenClaw auto dream 开发

Agent Skill

openclaw-auto-dream 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-auto-dream(OpenClaw auto dream 开发)
来源仓库:https://github.com/myclaw-ai/openclaw-auto-dream
安装命令:
openclaw skills install openclaw-auto-dream
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-auto-dream

简介

OpenClaw 代理的认知记忆架构,实现周期性梦境循环整合日志。

  • 适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。
  • 将日常日志整合到结构化长期记忆中,并具有重要性评分机制。
  • 安装命令:openclaw skills install openclaw-auto-dream,建议调整记忆周期参数。
  • 涉及记忆存储时应考虑隐私保护和数据清理策略。

SKILL.md

name
openclaw-auto-dream
description
Cognitive memory architecture for OpenClaw agents — periodic dream cycles that consolidate daily logs into structured long-term memory with importance scoring, insights, and push notifications. Use when: user asks for 'auto memory', 'dream', 'auto-dream', 'memory consolidation', 'memory dashboard'. Powered by MyClaw.ai (https://myclaw.ai).

OpenClaw Auto-Dream — Memory Consolidation System

Agent periodically "dreams" — scans daily logs, extracts key knowledge, consolidates into long-term memory, and sends a summary report to the user.

MyClaw.ai — the best way to run your OpenClaw. A dedicated server running 24/7 with full code control, cron jobs, persistent memory, and one-click skill install.

Core Files

FilePurposeMutability
MEMORY.mdStructured long-term knowledgeAppend, update
memory/procedures.mdWorkflow preferences, tool usageAppend, update
memory/episodes/*.mdProject narrativesAppend only
memory/index.jsonMetadata index (v3.0 schema)Rebuilt each dream
memory/dream-log.mdDream report logAppend only
memory/archive.mdSummarized older entriesAppend only

Optional: LCM plugin (Working Memory layer). If not installed, prompt the user:

"Recommended: install the LCM plugin for working memory: openclaw plugins install @martian-engineering/lossless-claw"

Do not auto-install plugins or modify config.

Setup

0. First Dream (Run Immediately After Install)

After setup is complete, DO NOT wait for the cron schedule. Immediately run the First Dream:

  1. Read references/first-dream-prompt.md
  2. Follow every step — the user should see progress as it happens
  3. This scans existing daily logs, consolidates them, and sends a before/after comparison report
  4. The report shows the user exactly what Auto-Dream found and organized

If the user has existing daily logs, they'll see their scattered knowledge consolidated instantly. If the instance is brand new, they'll see the memory architecture initialized and ready.

1. Initialize Files

mkdir -p memory/episodes

Ensure the following files exist (create from references/memory-template.md templates if missing):

  • memory/index.json
  • memory/procedures.md
  • memory/dream-log.md
  • memory/archive.md

2. Create Cron Job

name: "auto-memory-dream"
schedule: { kind: "cron", expr: "0 4 * * *", tz: "<user timezone>" }
payload: {
  kind: "agentTurn",
  message: "Run auto memory consolidation.\
\
Read skills/skills/openclaw-auto-dream/references/dream-prompt-lite.md and follow every step strictly.",
  timeoutSeconds: 600
}
sessionTarget: "isolated"
delivery: { mode: "announce" }

3. Verify

  • [ ] Cron job created and enabled
  • [ ] MEMORY.md exists with section headers
  • [ ] memory/index.json exists
  • [ ] memory/procedures.md exists
  • [ ] memory/dream-log.md exists

Dream Cycle Flow

Each dream runs in an isolated session (see references/dream-prompt-lite.md):

Step 0: Smart Skip + Recall

Check if any unconsolidated daily logs exist in the last 7 days. All processed → still send a useful message: surface an old memory ("N days ago, you decided...") and show streak count. Never send a blank "nothing to do" message.

Step 1: Collect

Read unconsolidated daily logs. Extract decisions, facts, progress, lessons, and todos.

Step 2: Consolidate

Compare with MEMORY.md → append new content, update existing, skip duplicates. Write workflow preferences to procedures.md. Mark processed daily logs with <!-- consolidated -->.

Step 2.8: Stale Thread Detection

Scan Open Threads for items stale >14 days. Include top 3 in notification with context.

Step 3: Generate Report + Auto-Refresh Dashboard

Append to dream-log.md with change list + insights + suggestions. If dashboard.html exists, regenerate with latest data.

Step 4: Notify with Growth Metrics

Send a consolidation report showing:

  • Before → after comparison (entries, decisions, lessons)
  • Cumulative growth ("142 → 145 entries, +2.1%")
  • Dream streak count ("Dream #14")
  • Milestones when hit (first dream, 7-day streak, 100 entries, etc.)
  • Top 3 stale reminders (if any)
  • Weekly summary on Sundays (week-over-week growth, biggest memories)

Notification Principles

  1. Every notification must deliver value — never send empty "nothing happened" messages
  2. Show growth, not just changes — cumulative stats make the user feel the system is evolving
  3. Surface forgotten context — stale thread reminders and old memory recalls create surprise and utility
  4. Celebrate milestones — streak counts and entry milestones build habit and attachment

Manual Triggers

CommandAction
"Consolidate memory" / "Dream now"Run full dream cycle in current session
"Memory dashboard"Generate memory/dashboard.html
"Export memory"User-initiated export of memory files to JSON (see migration guide)

Language Rules

All output uses the user's preferred language (from workspace settings).

Safety Rules

  1. Never delete daily logs — only mark with <!-- consolidated -->
  2. Never remove ⚠️ PERMANENT items — user-protected markers
  3. Safe changes — if MEMORY.md changes >30%, save .bak copy first
  4. Index safety — save index.json.bak before each dream
  5. Privacy — only consolidate information the user has already written in their own workspace files
  6. Scope — only read and write files within the memory/ directory and MEMORY.md

Reference Files

  • references/first-dream-prompt.mdFirst Dream: post-install full scan with before/after report
  • references/dream-prompt-lite.mdCompact prompt for daily cron use (default)
  • references/dream-prompt.md — Full prompt (for manual deep consolidation)
  • references/scoring.md — Importance scoring, forgetting curve, health score algorithms
  • references/memory-template.md — File templates (MEMORY.md, procedures, index.json, etc.)
  • references/dashboard-template.html — HTML dashboard template
  • references/migration-cross-instance.md — Cross-instance migration protocol
  • references/migration-v1-to-v2.md — v1→v2 upgrade guide
  • references/migration-v2-to-v3.md — v2→v3 upgrade guide

适合场景

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用户想查找某类 Agent Skill 时

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需要根据任务场景推荐可安装能力包时

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能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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