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Agent Sleep

Agent 睡眠系统 - 记忆整合、日志归档、工作区清理（支持 CortexGraph）

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High Signal

Agent 睡眠系统 - 记忆整合、日志归档、工作区清理（支持 CortexGraph）

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: AGENT.md, README.md, SKILL.md, package.json, scripts/note.py, scripts/run_sleep_cycle.py

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.1.0

Provenance

Publisher: guohongbin-git
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Agent Sleep System 🛌

像人类一样，Agent 需要"睡眠"（离线维护）来防止记忆碎片化和上下文污染。

功能

Micro-Rest - 快速上下文修剪 Deep Sleep - 每日日志整合到长期记忆 CortexGraph 同步 - 同步到 CortexGraph（带遗忘曲线） Dreaming - 后台模拟（可选）

sleep_status

检查 agent 是否"累了"（基于运行时间或 token 使用） python3 scripts/sleep_status.py

run_sleep_cycle

触发睡眠周期 Light: 压缩最近日志 Deep: 归档 + 文件清理 CortexGraph: 同步到 CortexGraph python3 scripts/run_sleep_cycle.py --mode [light|deep|cortexgraph]

schedule

设置生物钟（cron jobs） python3 scripts/schedule.py --set "0 3 * * *" # 3 AM 睡眠

Deep Sleep 模式

1. 触发 → Cron 在 3:00 AM 启动 2. 读取 → memory/YYYY-MM-DD.md（昨天日志） 3. 提取 → 高价值洞察 4. 追加 → 到 MEMORY.md 5. 归档 → 原始日志到 memory/archive/ 6. 清理 → 删除临时文件

CortexGraph 模式

1. 读取 → MEMORY.md + daily logs 2. 同步 → 到 CortexGraph 3. 应用 → 遗忘曲线（自动衰减） 4. 晋升 → 高价值记忆到 LTM

遗忘曲线

CortexGraph 使用 Ebbinghaus 遗忘曲线： score = (use_count)^β × e^(-λ × Δt) × strength β = 0.6（使用频率权重） λ = ln(2) / half_life（默认 3 天） strength = 1.0-2.0（重要性）

手动触发

# 轻量睡眠 python3 scripts/run_sleep_cycle.py --mode light # 深度睡眠 python3 scripts/run_sleep_cycle.py --mode deep # CortexGraph 同步 python3 scripts/run_sleep_cycle.py --mode cortexgraph

定时设置

# 每天凌晨 3 点深度睡眠 python3 scripts/schedule.py --set "0 3 * * *" # 每 6 小时 CortexGraph 同步 python3 scripts/schedule.py --set "0 */6 * * *"

目录结构

agent-sleep/ ├── SKILL.md ├── AGENT.md ├── scripts/ │ ├── run_sleep_cycle.py │ ├── sleep_status.py │ └── schedule.py └── memory/ ├── archive/ # 归档的日志 └── consolidated/ # 整合的记忆

环境变量

# CortexGraph 配置 export CORTEXGRAPH_STORAGE_PATH=~/.config/cortexgraph/jsonl export CORTEXGRAPH_DECAY_MODEL=power_law export CORTEXGRAPH_PL_HALFLIFE_DAYS=3.0

ClawHub 配置

clawhub install agent-sleep

最佳实践

每日 Deep Sleep - 凌晨 3 点每 6 小时 CortexGraph 同步 - 保持记忆新鲜每周 GC - 清理低分记忆每月晋升 - 高价值记忆升级到 LTM

与其他 Skill 集成

Skill集成方式memory-sync-cn使用其脚本同步到 CortexGraphagent-library使用其压缩功能cortexgraph直接调用 MCP 工具版本: 1.1.0 更新: 添加 CortexGraph 支持

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs2 Scripts1 Config

SKILL.md Primary doc
AGENT.md Docs
README.md Docs
scripts/note.py Scripts
scripts/run_sleep_cycle.py Scripts
package.json Config