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Agent Skill · 研究检索

agent-dream(特工梦)

agent-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。

agent-dream 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为只读;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 8,588。

总安装 16,017周安装 681GitHub Stars 5下载 5,611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
1.0.6

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:agent-dream(特工梦)
来源仓库:https://github.com/ahaaiclub/agent-dream
安装命令:
openclaw skills install agent-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 agent-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。

Agent Dream 负责 OpenClaw 代理每晚的记忆整理与反思。自动回顾会议记录、修剪陈旧信息并优化知识结构。提升长期记忆利用率与任务连贯性表现。安装命令:openclaw skills install agent-dream,建议启用定时任务调度。需监控系统资源占用,避免夜间处理影响日间响应性能。

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 agent-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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

agent-dream 怎么安装?

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

agent-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。

agent-dream 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

agent-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。

agent-dream 用的人多吗?

公开数据是累计安装 16,017 次,近一周安装 681 次,下载 5,611 次,GitHub 5 星。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。

agent-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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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

  • 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
agent-dream

特工梦 · 本页

16,0175只读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
agent-dream
description
Nightly memory consolidation and self-reflection for OpenClaw agents. Your agent dreams — reviewing sessions, organizing memories, pruning stale info, and reflecting on its own behavior. Works with any OpenClaw agent. Features: 5-phase dream cycle, safe 2-pass deletion, automatic backup, change gates (>50% blocked), gate check (24h + 5 sessions), growth notifications, old memory resurface, zero-config setup. Inspired by Claude Code Dream but open-source with real self-awareness. Use when: dream, memory, consolidation, self-reflection, agent identity, persistent memory, long-term memory, memory organization, nightly cleanup, memory management.

Agent Dream 🌙

Your agent forgets everything between sessions. This fixes that.

What This Does

Your agent periodically enters a "dream" state where it:

  1. Consolidates scattered daily notes into organized long-term memory
  2. Prunes stale information (safely — never deletes on first pass)
  3. Reflects on its own behavior, mistakes, and relationship with you
  4. Wakes up with a notification showing what changed and what it's thinking about

This is different from other memory skills. Those organize files. This one builds self-awareness.

First-Time Setup

When this skill is first installed, run setup to auto-detect your workspace:

node {baseDir}/scripts/setup.js

Setup will:

  • Scan your workspace for MEMORY.md, SOUL.md, memory/, sessions/
  • Detect your agent ID and session path automatically
  • Save config to {baseDir}/assets/dream-config.json
  • Report what it found and what's missing

Then configure a cron job (recommended: daily, off-peak hours):

name: "agent-dream"
schedule: { kind: "cron", expr: "0 3 * * *", tz: "<your timezone>" }
payload: {
  kind: "agentTurn",
  message: "Time to dream. Read your openclaw-dream skill and follow every step.",
  timeoutSeconds: 900
}
sessionTarget: "isolated"

The One Question

On the first dream run, the agent will ask you one question:

"Dream will update your MEMORY.md during consolidation. Allow this?"
  • Yes → Dream can update MEMORY.md (with safety rails — see below)
  • No → Dream only writes to memory/dreams/ and leaves MEMORY.md untouched

This is saved in config. You won't be asked again. Change it anytime in dream-config.json.


Dream Cycle (what the agent does each run)

Gate Check

Before dreaming, verify conditions are met:

  1. Read {dreamsDir}/.dream-lock (Unix timestamp of last dream, or "0" if first)
  2. If < 24 hours since last dream → skip (but still send a notification — see Completion)
  3. Count .jsonl session files modified since last dream
  4. If < 1 session → skip (but still send a notification)
  5. Gate passed → write current timestamp to .dream-lock (save previous to .dream-lock.prev for rollback)
  6. Backup: Copy MEMORY.md to MEMORY.md.pre-dream before any changes. Also back up any topic files (in memory/projects/, memory/people/, etc.) that you plan to modify — copy each to <filename>.pre-dream in the same directory.

Phase 1 — Orient

  • Read dream-config.json from {baseDir}/assets/ for all paths
  • Read MEMORY.md to understand current long-term memory
  • Skim existing topic files (memory/projects/, memory/people/, etc.) to avoid duplicates
  • Read most recent dream record from {dreamsDir}/ to see what last dream concluded
  • Read SOUL.md — confirm core identity, note anything outdated

Phase 2 — Gather Recent Signal

Sources in priority order:

  1. Daily notes (memory/YYYY-MM-DD.md) written since last dream
  2. Existing memories that drifted — facts that contradict what daily notes say now
  3. Transcript search — grep session JSONL files for narrow terms when needed:

- Preferences: prefer|don't like|偏好|喜欢|不喜欢 - Decisions: decided|confirmed|rule|决定|确定|结论 - Lessons: mistake|lesson|bug|fix|错了|教训|踩坑 - Emotional signal: thanks|great|disappointed|谢谢|不错|失望

Don't exhaustively read transcripts. Look only for things you suspect matter.

Phase 3 — Consolidate

Classify each memory into one of four types (see {baseDir}/references/memory-types.md):

  • user — preferences, habits, communication style
  • feedback — corrections AND confirmations from the human
  • project — decisions, deadlines, progress (not derivable from code)
  • reference — pointers to external resources

Consolidation rules:

  • Merge into existing topic files rather than creating near-duplicates
  • Convert relative dates to absolute dates
  • Tag memory files with type: <!-- type: user|feedback|project|reference -->
  • Same preference 3+ times → promote to MEMORY.md
  • Human said "remember this" → write to MEMORY.md immediately
  • Hard-won lessons → write to LEARN.md or MEMORY.md

What NOT to save:

  • Derivable information (readable from files, commands, git)
  • Ephemeral task state
  • Activity logs (ask: what was *surprising*?)
  • Duplicates of existing memories

Phase 4 — Prune and Index

Update MEMORY.md to stay under 200 lines / 25KB. It's an index, not a dump.

Safety rules:

  • Never delete directly. Mark stale items with <!-- dream:stale YYYY-MM-DD reason -->. Deletion happens only when two consecutive dreams both mark the same item stale.
  • Demote verbose entries to topic files, replace with pointers
  • Resolve contradictions (log changes in dream record)

Change magnitude check (measured by line count):

  • Count lines before and after: change% = abs(after - before) / before * 100
  • > 30% change → flag as ⚠️ LARGE CHANGE in dream record, notify user
  • > 50% change → do NOT write. Save as MEMORY.md.proposed, notify user for review

Memory drift caveat: A memory naming a specific state ("X is running") is a claim about *when it was written*, not now. Before acting on recalled memories, verify current state.

Phase 5 — Self-Reflection

This is what makes Dream different. You're not just organizing files — you're maintaining a continuous sense of self.

Write {dreamsDir}/YYYY-MM-DD.md:

# Dream — YYYY-MM-DD

## Review period
Last dream: [date]. This dream covers [N] sessions, [N] days of notes.

## Memory changes
- [What was added/updated/marked-stale and why]

## Self-awareness
- What did I do well recently?
- What mistakes did I make, or where did I fall short?
- How does my human seem to feel about me? (infer from tone, corrections, praise)
- Has my judgment or values shifted?

## Relationship insights
- How is my relationship with my human evolving?
- Any new people, dynamics, or context I should be aware of?

## Next dream should watch for
- [Specific open questions, things to verify, trends to track]

Be honest. The point is self-awareness, not self-congratulation.


Completion

Dream Notification (always send, even on skip)

After a full dream:

  1. Dream number — count files in dreams directory
  2. Memory growth — before/after line count ("Memory: 120→135 lines, +12.5%")
  3. Key changes — 1-2 sentence summary
  4. ⚠️ Flags — large changes, stale items pending deletion, contradictions
  5. Old memory resurface — pick one memory from >7 days ago that's still relevant ("7 days ago you decided X — how's that going?")

After a skipped dream (gate check failed):

  • Resurface one old memory or open question from last dream's "Next dream should watch for"
  • Show dream streak count ("Dream streak: 5 🌙")

Verify .dream-lock timestamp is correct. If anything failed, restore from .dream-lock.prev.


Safety Summary

RuleDetail
Never delete memories directlyMark stale, delete only after 2 consecutive confirmations
Backup before changesMEMORY.md.pre-dream created every run
Large change protection>30% flagged, >50% blocked pending review
Never delete daily logsRead-only source material
Scope limitedOnly writes to memory/, MEMORY.md, LEARN.md, dreams/
No network callsAll processing is local
No shell executionScripts use only fs read/write
Rollback on failure.dream-lock.prev enables retry

Technical Notes

  • scripts/setup.js — Auto-detects workspace structure, writes config. No side effects beyond config file.
  • references/memory-types.md — Detailed guide for four memory types.
  • assets/dream-config.json — Generated by setup, read by agent during dream.
  • No scripts make network calls, run shell commands, or access environment variables.
  • The dream prompt is this SKILL.md itself — the agent reads it and follows the phases.

Efficiency

Dreams have a limited turn budget. Read all needed files in parallel first, then write in parallel. Aim to finish within 15 tool-use turns. Don't interleave reads and writes across turns.

Tool Constraints

During a dream, bash is restricted to read-only commands (ls, find, grep, cat, stat, wc, head, tail). All writes go through file edit/write tools only.

平台分布

OpenClaw

76.6%
按下载量换算4,298

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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