Distill Memory

Analyze our conversation and create structured memory entries using the nmem CLI.

Memory Categories

Use these categories to guide content structure:

• insight: Key learnings, realizations, "aha" moments
• decision: Choices made with rationale and trade-offs
• fact: Important information, data points, references
• procedure: How-to knowledge, workflows, SOPs
• experience: Events, conversations, outcomes

Process

1. Identify valuable insights from our conversation
2. For each insight, create a memory with appropriate category

Command

nmem m add "Content with full context" \
  -t "Searchable title (max 60 chars)" \
  -i 0.8

Importance Scale

• 0.8-1.0: Critical decisions, breakthroughs, blockers resolved
• 0.5-0.7: Useful insights, standard decisions
• 0.1-0.4: Background info, minor details

Quality Standards

• Atomic: One insight per memory
• Actionable: Focus on what was learned, not what was discussed
• Standalone: Readable without conversation context
• Professional: No emojis, clear language

Example

nmem m add "React useEffect cleanup functions must return a function, not call it directly. Incorrect: useEffect(() => cleanup()). Correct: useEffect(() => cleanup). This caused memory leaks in our dashboard component." \
  -t "React useEffect Cleanup Pattern" \
  -i 0.9