Memory Lifecycle
/install agent-memory-lifecycle
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:
- Distill, don't summarise. Output should be better than raw input — structured, actionable, reasoning preserved
- Preserve decisions and reasoning. "We chose X because Y" > "We did X"
- Never compress away specifics. Phone numbers, dates, prices are facts, not fluff
- Daily files are immutable. They're the audit trail — add headers, never edit content
- Each tier builds upward. Raw → structured → refined → wisdom
- 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:
- Create structured memory files (people.md, decisions.md, lessons.md, commitments.md)
- Add a
## Recentworking memory buffer to MEMORY.md - Create four cron jobs (nightly, weekly, monthly, yearly)
- Add memory micro-attention tasks to HEARTBEAT.md
Run with --dry-run to preview changes without applying them.
Run with --agent \x3Cid> 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:
- Capture: Ensure notable events are in today's
memory/YYYY-MM-DD.md - Promote: Session-critical items (new appointment, key decision) →
MEMORY.md → ## Recent - Tag: Mark daily file entries with
[decision],[lesson],[person]for the nightly cycle - 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.mdwith 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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install agent-memory-lifecycle - 安装完成后,直接呼叫该 Skill 的名称或使用
/agent-memory-lifecycle触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Memory Lifecycle 是什么?
Systematic memory management for long-running AI agents. Implements a five-tier lifecycle — heartbeat micro-attention, nightly consolidation, weekly reflecti... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 105 次。
如何安装 Memory Lifecycle?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agent-memory-lifecycle」即可一键安装,无需额外配置。
Memory Lifecycle 是免费的吗?
是的,Memory Lifecycle 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Memory Lifecycle 支持哪些平台?
Memory Lifecycle 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Memory Lifecycle?
由 andrewagrahamhodges(@andrewagrahamhodges)开发并维护,当前版本 v1.1.0。