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memory-lifecycle

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".

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/andrewagrahamhodges/agent-memory-lifecycle
Or

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.

Metadata

Stars4473
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Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-andrewagrahamhodges-agent-memory-lifecycle": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.