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agent-memory-lifecycleAgent 内存生命周期

Agent Skill

agent-memory-lifecycle 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。

总安装

3,256

周安装

133

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下载量

1,053
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:agent-memory-lifecycle(Agent 内存生命周期)
来源仓库:https://github.com/andrewagrahamhodges/agent-memory-lifecycle
安装命令:
openclaw skills install agent-memory-lifecycle
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-memory-lifecycle

简介

管理系统内存的五阶段生命周期。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

  • 包含心跳、夜间整合与每周反思层级。
  • 适用于长时间运行代理的资源管理。
  • 自动触发不同级别的处理流程。agent-memory-lifecycle 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 建议根据任务重要性调整各阶段阈值。

SKILL.md

name
memory-lifecycle
description
Systematic memory management for long-running AI agents. Implements a five-tier lifecycle — heartbeat micro-attention, nightly consolidation, weekly reflection, monthly archiving, and yearly wisdom distillation. Use when setting up a new agent's memory system, improving an existing agent's memory quality, or when the agent's MEMORY.md is growing too large and context quality is degrading. Triggers on "set up memory", "memory management", "improve memory", "memory lifecycle", "nightly consolidation", "sleep cycle", "memory housekeeping".

Memory Lifecycle

Structured memory management that makes agents smarter over time — not through code, but through disciplined capture, consolidation, and distillation of context.

Philosophy

Memory management is not about saving tokens. It's about crafting high-signal context that makes a powerful LLM *more* effective.

Core principles:

  1. Distill, don't summarise. Output should be *better* than raw input — structured, actionable, reasoning preserved
  2. Preserve decisions and reasoning. "We chose X because Y" > "We did X"
  3. Never compress away specifics. Phone numbers, dates, prices are facts, not fluff
  4. Daily files are immutable. They're the audit trail — add headers, never edit content
  5. Each tier builds upward. Raw → structured → refined → wisdom
  6. Archives are a library, not a bin. Full narratives, not one-liners

Setup

Run the setup script to scaffold memory files and create cron jobs:

python3 scripts/setup.py

The script will:

  1. Create structured memory files (people.md, decisions.md, lessons.md, commitments.md)
  2. Add a ## Recent working memory buffer to MEMORY.md
  3. Create four cron jobs (nightly, weekly, monthly, yearly)
  4. Add memory micro-attention tasks to HEARTBEAT.md

Run with --dry-run to preview changes without applying them. Run with --agent <id> to target a specific agent (default: main).

The Five Tiers

Tier 1: Heartbeat Micro-Attention (every ~30 min)

Added to the agent's HEARTBEAT.md. Quick focused pass — capture, promote, tag:

  1. Capture: Ensure notable events are in today's memory/YYYY-MM-DD.md
  2. Promote: Session-critical items (new appointment, key decision) → MEMORY.md → ## Recent
  3. Tag: Mark daily file entries with [decision], [lesson], [person] for the nightly cycle
  4. Monitor: Check nightly cycle health — if it errored, fix and re-run. Don't just report.

Tier 2: Nightly "Sleep Cycle" (cron, ~2:00 AM local)

Read references/nightly-prompt.md for the full cron prompt.

  • Read today's daily file end-to-end
  • Write a 2-3 line "day essence" header
  • Promote items to structured files (people → people.md, decisions → decisions.md, etc.)
  • Update MEMORY.md if active project state changed
  • Clear processed items from ## Recent

Rules: Never edit daily file content. Never remove from MEMORY.md unless completed AND archived.

Tier 3: Weekly Reflection (cron, Sunday ~3:00 AM local)

Read references/weekly-prompt.md for the full cron prompt.

  • Read all 7 daily files from the past week
  • Spot patterns: repeated topics, unresolved threads
  • Refine MEMORY.md — improve structure and language (not strip content)
  • Review commitments, contacts, decisions for staleness
  • Write a "week in review" in Sunday's daily file

Tier 4: Monthly Deep Clean (cron, 1st of month ~4:00 AM local)

Read references/monthly-prompt.md for the full cron prompt.

  • Create memory/archive/YYYY-MM.md with full narratives of completed work
  • Move completed items from MEMORY.md to archive
  • Keep MEMORY.md under ~4000 words
  • Consolidate related lessons into principles
  • Personality check on SOUL.md

Rules: Archive entries must be self-contained. Active items never move to archive.

Tier 5: Yearly Wisdom Distillation (cron, January 1)

Read references/yearly-prompt.md for the full cron prompt.

  • Create memory/wisdom/YYYY.md
  • Extract wisdom that transcends specific events
  • Evolve SOUL.md based on a year's experience
  • Flag SOUL.md changes to the human

The "Recent" Buffer

A ## Recent section at the top of MEMORY.md acts as working memory:

## Recent
> Working memory — heartbeat promotes critical items here, nightly cycle processes them.
- **2026-03-23:** Viewing booked Thu 26 Mar 9am with estate agent
- **2026-03-23:** Server upgraded v2.3.13 → v2.3.22
  • Heartbeats promote critical items here immediately
  • Every new session sees it (MEMORY.md is loaded automatically)
  • Nightly cycle processes items and clears them

This bridges the gap between raw daily capture and curated long-term memory.

File Structure

After setup, the memory directory contains:

MEMORY.md                  ← Active long-term memory (loaded every session)
memory/
  YYYY-MM-DD.md            ← Daily raw notes (immutable)
  people.md                ← Contacts, relationships, dynamics
  decisions.md             ← Key choices with rationale
  lessons.md               ← Mistakes and learnings (grows, never shrinks)
  commitments.md           ← Deadlines and obligations
  archive/
    YYYY-MM.md             ← Monthly archives (full narratives)
  wisdom/
    YYYY.md                ← Yearly distilled wisdom

Health Check

Run the health check to verify the memory system is working:

python3 scripts/health_check.py

Checks: nightly cron status, MEMORY.md size, Recent buffer staleness, structured file freshness.

What Gets Archived vs What Stays

  • Archive: Completed projects, resolved leads, past deadlines, finished work
  • Keep active: Ongoing relationships, active projects, preferences, lessons learned
  • Never compress: Phone numbers, addresses, credentials, family details, business structure

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

94.02%
按下载量换算990

安全审计

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可疑

ClawScan

可疑

Static analysis

通过

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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

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