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Lesson Extraction & Storage

When triggered, extract and store lessons from the recent conversation context.

Steps

1. Scan recent context — identify the pitfall, bug fix, or key insight just discussed

2. Store technical layer (category: fact, importance ≥ 0.8):

   Pitfall: [symptom]. Cause: [root cause]. Fix: [solution]. Prevention: [how to avoid].
   

3. Store principle layer (category: decision, importance ≥ 0.85):

   Decision principle ([tag]): [behavioral rule]. Trigger: [when]. Action: [what to do].
   

4. Verify — memory_recall with anchor keywords to confirm both entries retrievable

5. Report — tell Master what was stored (brief summary)

Rules

• Keep entries short and atomic (< 500 chars each)
• If the lesson also affects a checklist or SKILL.md, update those files too
• If no clear lesson is found in recent context, ask Master what to store

Weekly Installs

257

Repository

win4r/memory-lancedb-pro

GitHub Stars

3.5K

First Seen

Feb 25, 2026

Security Audits

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Installed on

opencode256

cursor255

gemini-cli255

github-copilot255

codex255

amp255