Skip to main content

memory-reflect

Sleep-time memory reflection: review recent conversations and daily notes, extract insights, and consolidate into long-term memory. Use when triggered by cron, heartbeat, or explicit request to reflect on recent activity. Runs as background processing to improve memory quality over time.

Datos de origen

Repositorio
basicmachines-co/basic-memory-skills
Última actividad en el origen
1 de marzo de 2026 a las 16:27
Idioma detectado de SKILL.md
inglés
Estrellas
23
Forks
3

Opciones de instalación

De forma predeterminada está seleccionado el prompt que primero revisa el origen. Puedes cambiar a un comando directo o descargar una copia local.

Revisa los archivos de origen

Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.

Mostrando SKILL.md

SKILL.md
Instrucciones de origen · Vista previa de solo lectura
name
memory-reflect
description
Sleep-time memory reflection: review recent conversations and daily notes, extract insights, and consolidate into long-term memory. Use when triggered by cron, heartbeat, or explicit request to reflect on recent activity. Runs as background processing to improve memory quality over time.
# Memory Reflect Review recent activity and consolidate valuable insights into long-term memory. Inspired by sleep-time compute — the idea that memory formation happens best *between* active sessions, not during them. ## When to Run - **Cron/heartbeat**: Schedule as a periodic background task (recommended: 1-2x daily) - **On demand**: User asks to reflect, consolidate, or review recent memory - **Post-compaction**: After context window compaction events ## Process ### 1. Gather Recent Material Read the last 2-3 days of daily notes from `memory/YYYY-MM-DD.md`. Also check: - Recent conversation transcripts (if accessible) - Any files modified in `memory/` in the last 48 hours - Active tasks in `memory/tasks/` ### 2. Evaluate What Matters For each piece of information, ask: - Is this a **decision** that affects future work? → Keep - Is this a **lesson learned** or mistake to avoid? → Keep - Is this a **preference** or working style insight? → Keep - Is this a **relationship** detail (who does what, contact info)? → Keep - Is this **transient** (weather checked, heartbeat ran, routine task)? → Skip - Is this **already captured** in MEMORY.md or another long-term file? → Skip ### 3. Update Long-Term Memory Write consolidated insights to `MEMORY.md` following its existing structure: - Add new sections or update existing ones - Use concise, factual language - Include dates for temporal context - Remove or update outdated entries that the new information supersedes ### 4. Log the Reflection Append a brief entry to today's daily note: ```markdown ## Reflection (HH:MM) - Reviewed: [list of files reviewed] - Added to MEMORY.md: [brief summary of what was consolidated] - Removed/updated: [anything cleaned up] ``` ## Guidelines - **Be selective.** The goal is distillation, not duplication. MEMORY.md should be curated wisdom, not a copy of daily notes. - **Preserve voice.** If the agent has a personality/soul file, reflections should match that voice. - **Don't delete daily notes.** They're the raw record. Reflection extracts from them; it doesn't replace them. - **Merge, don't append.** If MEMORY.md already has a section about a topic, update it in place rather than adding a duplicate entry. - **Flag uncertainty.** If something seems important but you're not sure, add it with a note like "(needs confirmation)" rather than skipping it entirely. - **Restructure over time.** If MEMORY.md is a chronological dump, restructure it into topical sections during reflection. Curated knowledge > raw logs. - **Check for filesystem issues.** Look for recursive nesting (memory/memory/memory/...), orphaned files, or bloat while gathering material.
Ver en GitHub