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Agent Skill · 研究检索

openclaw-dream(OpenClaw dream 搜索)

openclaw-dream 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

openclaw-dream 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为执行命令;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 23,509。

总安装 4,252周安装 172GitHub Stars 公开资料未说明下载 1,335核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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-dream(OpenClaw dream 搜索)
来源仓库:https://github.com/liuweifly/openclaw-dream
安装命令:
openclaw skills install openclaw-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-dream

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

自动整合 OpenClaw 代理内存文件,模拟快速眼动睡眠进行数据清理。用于重复数据删除、组织 MEMORY.md 及相关记忆文件结构。按时间或内容优先级重组记忆片段,提升 Agent 上下文处理效率。操作涉及文件系统读写,需确认目录权限与存储空间充足。建议在备份后运行,防止重要记忆数据意外丢失。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install openclaw-dream;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

openclaw-dream 怎么安装?

在终端执行 openclaw skills install openclaw-dream。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openclaw-dream 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

openclaw-dream 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 openclaw skills install openclaw-dream 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

openclaw-dream 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

openclaw-dream 用的人多吗?

公开数据是累计安装 4,252 次,近一周安装 172 次,下载 1,335 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

openclaw-dream 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
openclaw-dream

OpenClaw dream 搜索 · 本页

4,252—执行命令MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
openclaw-dream
description
Automatic memory consolidation for OpenClaw agents. Cleans, deduplicates, and organizes memory files (MEMORY.md + memory/*.md) like human REM sleep consolidates memories. Triggers: 'dream', 'consolidate memory', 'tidy memory', 'clean up memory', '整理记忆', '记忆整理', or automatically via cron/heartbeat. Use when memory files have accumulated noise, contradictions, stale dates, duplicates, or exceed manageable size.

OpenClaw Dream

Automatic memory consolidation — turn scattered daily notes into clean, organized long-term memory.

Overview

Memory files accumulate noise over time: relative dates lose meaning, contradictory entries confuse the agent, duplicates waste context, and stale information causes hallucinations. Dream fixes this by running a structured consolidation pass.

When to Run

  • Manual: User says "dream", "整理记忆", "consolidate memory"
  • Cron: Schedule via openclaw cron add for daily execution (recommended: 3-4 AM)
  • Heartbeat: Add to HEARTBEAT.md as a periodic task (every 3-5 days)
  • Condition check: Only run if memory/.last_dream is older than 24h AND new daily notes exist since last dream

Execution

Always run as a sub-agent to avoid blocking the main session:

sessions_spawn:
  task: "Run openclaw-dream consolidation. Read the skill at skills/openclaw-dream/SKILL.md first."
  mode: run
  model: sonnet  # use a cheaper model

For manual triggers in the main session, spawn the sub-agent, reply to user "开始整理记忆,稍后汇报结果", then yield.

Four-Phase Consolidation

Phase 1: Scan

  1. Read MEMORY.md — note current line count, section headers, last-updated date
  2. Read all memory/YYYY-MM-DD.md files from the last 14 days
  3. Read memory/self-improving/*.jsonl if it exists (error/correction/best_practice/decision logs)
  4. Read .last_dream timestamp to know what's already been processed
  5. Build a mental map: what topics exist, what's fresh, what's stale

Phase 2: Analyze

Scan all content for these problems:

Relative dates — Find phrases like "yesterday", "today", "last week", "recently", "刚才", "昨天", "上周". Cross-reference with the file's date to compute the absolute date.

Contradictions — Same topic with conflicting conclusions across different files. Examples:

  • "API uses Express" in one file, "migrated to Fastify" in another
  • Different pricing numbers for the same product on different dates

Duplicates — Same fact recorded in multiple daily notes. Example:

  • Three different files all note the same build command or deployment step

Stale entries — Information about things that no longer exist:

  • References to deleted files or deprecated APIs
  • Completed tasks still marked as "in progress"
  • Resolved issues still listed as open

Unprocessed JSONL patterns — High-frequency errors or corrections in self-improving logs that should become rules in MEMORY.md

Important events not yet in MEMORY.md — Significant decisions, lessons, or changes in daily notes that deserve long-term retention

Phase 3: Consolidate

Execute fixes in this order:

  1. Date absolutization: Replace relative dates with absolute dates

- "Yesterday we decided X" (in 2026-03-15.md) → "2026-03-14: decided X" - Preserve the original meaning; only change the date reference

  1. Contradiction resolution: Keep the most recent entry, remove or mark the old one

- Add [superseded by YYYY-MM-DD] to the old entry if in a daily note - In MEMORY.md, simply update to the latest fact

  1. Duplicate merging: Consolidate into one canonical entry

- Keep the most complete/detailed version - Note the date range if relevant ("first noted YYYY-MM-DD")

  1. Stale cleanup: Remove or archive entries about things that no longer exist

- Mark completed projects as done with completion date - Remove references to deleted files/configs

  1. JSONL distillation: Extract patterns from self-improving logs

- Errors appearing ≥2 times → add rule to MEMORY.md "经验教训" section - Important decisions → add to appropriate MEMORY.md section - Update memory/self-improving/.last_distill timestamp

  1. Daily notes → MEMORY.md promotion: Identify significant items worth keeping long-term

- Major decisions, architectural changes, new integrations - People/relationships updates - Lessons learned - Do NOT promote routine operational logs

Phase 4: Write

  1. Update MEMORY.md:

- Apply all changes from Phase 3 - Keep total line count under 250 lines (warn if approaching) - Update the *最后更新* date at the bottom - Preserve existing section structure (don't reorganize unless necessary)

  1. Rebuild vector index:
   openclaw memory index --force
  1. Generate dream log at memory/dream-log-YYYY-MM-DD.md:
   # Dream Log YYYY-MM-DD

   ## Changes Made
   - [date-fix] 3 relative dates converted to absolute
   - [contradiction] Removed stale Express reference (superseded by Fastify migration)
   - [duplicate] Merged 2 duplicate build command entries
   - [stale] Marked ChatClaw Phase 2 as completed
   - [promote] Added RhinoRank order tracking to MEMORY.md
   - [distill] Added 1 new rule from error logs

   ## MEMORY.md Stats
   - Lines: 119 → 128
   - Sections: 8 (unchanged)

   ## Skipped
   - 5 daily notes with only routine operational logs (no action needed)
  1. Update timestamp:
   date -u +%Y-%m-%dT%H:%M:%SZ > memory/.last_dream

Safety Rules

  • Never delete daily note files — only modify MEMORY.md and generate dream-log
  • Never modify source code, configs, or non-memory files
  • Preserve all 📌 pinned entries in MEMORY.md (lines starting with 📌 are never removed)
  • When uncertain about a contradiction, keep both entries and flag in dream-log as "needs human review"
  • Dream-log is append-only — never modify past dream logs

Configuration

Users can create DREAM.md in workspace root to customize behavior:

# DREAM.md

## Settings
- max_memory_lines: 250
- lookback_days: 14
- min_hours_between_dreams: 24

## Protected Sections
<!-- These MEMORY.md sections are never auto-pruned -->
- 经验教训
- 关于 River
- Agent 网络

## Custom Rules
<!-- Additional consolidation rules -->
- Always keep pricing/billing related entries
- Merge duplicate API endpoint references

If DREAM.md doesn't exist, use defaults above.

Cron Setup Example

openclaw cron add \
  --id dream-nightly \
  --schedule "0 3 * * *" \
  --task "Run openclaw-dream memory consolidation. Read skills/openclaw-dream/SKILL.md and follow Phase 1-4." \
  --model sonnet \
  --isolated

平台分布

OpenClaw

79.1%
按下载量换算1,056

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install openclaw-dream 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。目前只有一个公开来源,建议同时核对源仓库。

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