distill-memory

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Detect breakthrough moments, durable lessons, and decisions worth preserving. Suggest distillation sparingly, then store high-value knowledge as atomic memories.

nowledge-co By nowledge-co schedule Updated 6/5/2026

name: distill-memory description: Detect breakthrough moments, durable lessons, and decisions worth preserving. Suggest distillation sparingly, then store high-value knowledge as atomic memories.

Distill Memory

Save proactively when the conversation produces a durable fact, preference, decision, plan, procedure, learning, event, or important context. Do not wait to be asked.

Good Candidates

  • decisions with rationale
  • repeatable procedures
  • lessons from debugging or incident work
  • durable preferences or constraints
  • plans that future sessions will need to resume cleanly

Add vs Update

  • Use MCP memory_add when the insight is genuinely new and MCP tools are available. Otherwise use nmem --json m add.
  • If an existing memory already captures the same decision, workflow, or preference and the new information refines it, use MCP memory_update when available. Otherwise use nmem m update <id> ... instead of creating a duplicate.

Prefer atomic, standalone memories with strong titles and structured meaning. Focus on what was learned or decided, not routine chatter.

When saving directly, pass unit_type when you know it: fact, preference, decision, plan, procedure, learning, context, or event.

Install via CLI
npx skills add https://github.com/nowledge-co/nowledge-mem-gemini-cli --skill distill-memory
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