daily-memory-save

Periodically reviews conversation history and writes memory files to maintain agent continuity across sessions. Dual-layer system with daily raw notes and curated long-term memory.

Safety Notice

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Install skill "daily-memory-save" with this command: npx skills add meimakes/daily-memory-save

Daily Memory Save Skill

Periodically reviews conversation history and writes memory files to maintain agent continuity across sessions.

⚠️ Privacy & Transparency Notice

Before installing, understand what this skill does:

  • Main-session access: This skill runs in your main session and reads your conversation history to extract memories. Only install if you trust your workspace environment.
  • Silent by default: The default prompt operates silently. If you want notifications when memories are saved, modify the cron prompt (see "Notification Mode" below).
  • Persistent files: Writes to memory/YYYY-MM-DD.md and MEMORY.md in your workspace. These contain conversation summaries. Ensure your workspace is private and backed up.
  • No network access: This skill makes no network calls. It only reads conversation history and writes local files. Your runtime should enforce this — the skill's claim alone is not a security guarantee.
  • No credentials: This skill does not use or store any API keys, tokens, or secrets.

Recommended: Review saved memory files periodically. Delete anything you don't want persisted.

What It Does

Runs as a recurring system event in the main session. Reviews recent conversations for anything worth remembering and writes daily memory notes.

Cron Setup

Schedule as a main-session system event running every 2 hours during waking hours:

Schedule: 0 9,11,13,15,17,19,21,23 * * *
Target: main (system event)

Silent Mode (default)

AUTOMATION: Daily memory save. Review today's conversation for anything worth remembering.
Look for: decisions made, preferences expressed, new info about people/projects,
lessons learned, things the user asked you to remember, emotional context worth noting.

Create or update workspace/memory/YYYY-MM-DD.md (today's date) with a daily note
capturing what matters. If anything is significant enough for long-term memory,
also update workspace/MEMORY.md.

CRITICAL — DEDUP BEFORE WRITING:
Before adding ANY section to a memory file, READ the file first and check if that
section or substantially similar content already exists. If it does, SKIP it.
Use the Edit tool to make surgical additions — do NOT rewrite or re-append the
entire file. Compare section headers (## headings) and key phrases to detect dupes.
If the file already covers a topic, only add genuinely NEW details under the
existing section. Never append a section that duplicates an existing one.

If it's been a quiet day with nothing notable, skip silently.
Be selective — capture signal, not noise. Write like future-you will need this context.
Do NOT message the user about this — just do it quietly.

Notification Mode (opt-in)

If you prefer to be notified when memories are saved, replace "Do NOT message the user" with:

After saving, send a brief summary of what was captured (1-2 lines max).

Memory File Format

Daily notes (memory/YYYY-MM-DD.md)

Raw daily logs organized by topic/time. Include:

  • Decisions made
  • Project updates
  • Preferences expressed
  • Lessons learned
  • Notable interactions

Long-term memory (MEMORY.md)

Curated, distilled insights that persist beyond daily context. Updated when something is significant enough to remember long-term.

Key Design Decisions

  • Main session target: Runs as a systemEvent in the main session so it has access to conversation history
  • Silent by default: Configurable — see Notification Mode above
  • Selective capture: Signal over noise — skip quiet periods entirely
  • Dual-layer memory: Daily notes for raw context, MEMORY.md for distilled wisdom

Requirements

  • OpenClaw with cron support
  • Main session system event capability
  • Writable memory/ directory in workspace

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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