memory-curatorDistill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.
Install via ClawdBot CLI:
clawdbot install 77Darius77/memory-curatorTransform raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information.
# Generate digest skeleton for today
./scripts/generate-digest.sh
# Generate for specific date
./scripts/generate-digest.sh 2026-01-30Then fill in the sections manually.
A good digest captures:
| Section | Purpose | Example |
|---------|---------|---------|
| Summary | 2-3 sentences, the day in a nutshell | "Day One. Named Milo. Built connections on Moltbook." |
| Stats | Quick metrics | Lines, sections, karma, time span |
| Key Events | What happened (not everything, just what matters) | Numbered list, 3-7 items |
| Learnings | Insights worth remembering | Bullet points |
| Connections | People interacted with | Names + one-line context |
| Open Questions | What you're still thinking about | For continuity |
| Tomorrow | What future-you should prioritize | Actionable items |
Digests work best with hierarchical indexes:
memory/
āāā INDEX.md ā Master index (scan first ~50 lines)
āāā digests/
ā āāā 2026-01-30-digest.md
ā āāā 2026-01-31-digest.md
āāā topics/ ā Deep dives
āāā daily/ ā Raw logs (only read when needed)Workflow: Scan index ā find relevant digest ā drill into raw log only if needed.
Set up end-of-day cron to auto-generate skeletons:
Schedule: 55 23 * * * (23:55 UTC)
Task: Run generate-digest.sh, fill Summary/Learnings/Tomorrow, commitGenerated Mar 1, 2026
A research team uses the skill to condense verbose daily logs from AI agents into indexed digests, enabling quick review of experiments and insights. This reduces time spent sifting through raw data and improves collaboration by highlighting key learnings and open questions.
A customer support department applies the skill to compress daily interaction logs into summaries, capturing key events like resolved issues and customer feedback. This aids in performance analysis and training by preserving essential metrics and connections with clients.
A software development team utilizes the skill to distill daily activity logs into digests, focusing on progress, blockers, and learnings. This supports agile workflows by providing compact updates for stand-up meetings and maintaining a searchable index of project history.
Individuals use the skill to transform personal daily logs into concise digests, summarizing activities, insights, and goals. This enhances self-reflection and planning by organizing memories in an index-first structure for easy retrieval and continuity.
Offer the skill as a cloud-based service with automated digest generation and indexing features. Charge monthly per user or team, targeting businesses needing efficient log management and memory compression for operational insights.
Sell customized versions of the skill with advanced integration options, such as API access and compliance features, to large enterprises. This model includes one-time licensing fees and ongoing support contracts for tailored memory curation solutions.
Provide a free basic version for individual users with limited digest generation, and offer premium tiers for teams with automation, analytics, and enhanced indexing. Monetize through upgrades and add-ons like cron job scheduling and advanced reporting.
š¬ Integration Tip
Integrate with existing logging systems by automating digest generation via cron jobs and structuring memory files hierarchically for easy navigation.
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