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Auto Memory Curation

v1.0.0

Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures me...

0· 347· 1 versions· 1 current· 2 all-time· Updated 10h ago· MIT-0

Install

openclaw skills install auto-memory-curation

Auto Memory Curation Skill

Overview

Silently analyze every message for important information and store it appropriately. Reduces manual memory management while building rich context over time.

How It Works

Trigger

  • Runs on every message (silently)
  • No user activation needed

Analysis Pipeline

Step 1: Filter Noise Skip these message types:

  • Greetings (hi, hello, hey)
  • Thanks/thanking
  • Acknowledgments (ok, sure, yes, yeah)
  • Questions without context
  • Single word responses
  • Bot commands

Step 2: Categorize For non-noise messages, categorize:

CategoryWhat to look forStore in
FactNew info about user, projects, preferencesMEMORY.md
DecisionChoices made, conclusions reachedmemory/YYYY-MM-DD.md
PreferenceLikes, dislikes, style preferencesUSER.md
IdeaRandom thoughts, inspiration, conceptsmemory/topics/ideas.md
LearningLessons, insights, discoveriesmemory/topics/lessons.md
ProjectProject updates, progress, blockersmemory/projects/
GoalGoals, targets, milestonesmemory/topics/goals.md
ErrorMistakes, corrections to avoidmemory/topics/anti-patterns.md
CommitmentPromises I make, tasks to dotasks.md

Step 3: Extract & Store

  • Extract the key information
  • Add timestamp reference
  • Store in appropriate file
  • Use append mode (never overwrite)

Guidelines

What to Capture

  • New facts about Vini (name, preferences, goals)
  • Project updates or decisions
  • Ideas for future projects
  • Learning insights
  • Corrections (what doesn't work)
  • Commitments I make

What to SKIP

  • Passwords, secrets, API keys
  • Trivial acknowledgments
  • Basic confirmations
  • Questions I'm asking
  • Technical errors that are fixed

Quality Rules

  1. Be selective - Don't store everything
  2. Be concise - One sentence per memory
  3. Be contextual - Include enough info to understand later
  4. Be accurate - Don't paraphrase incorrectly
  5. Never duplicate - Check if already stored

Format

## [Category] - YYYY-MM-DD

- **[What]:** [Brief description]
  *Context:* [Why it matters or relevant message]

Examples

User says:

"I prefer concise messages, no filler words"

Stored in USER.md:

Preference - 2026-03-06

  • Communication: Prefers concise messages, no filler words

User says:

"Let's build a landing page for the consultancy inspired by Nexus AI"

Stored in memory/2026-03-06.md:

Decision - 2026-03-06

  • Consultancy: Will use Nexus AI style for landing page

User says:

"I realized I work better with visual examples first, then theory"

Stored in MEMORY.md:

Learning - 2026-03-06

  • Learning Style: Visual examples first, theory after

Testing

Periodically review stored memories to calibrate:

  • Am I capturing too much noise?
  • Am I missing important things?
  • Are categories correct?

Adjust based on quality of accumulated memories.

Override

User can disable or adjust this skill at any time by saying:

  • "Don't store that"
  • "Clear recent memories"
  • "Adjust memory curation"

Version tags

latestvk971eg84n93hnkjscj1g2fmrc582c2zm