Memory Reflect

basicmachines-co/basic-memory/skills/memory-reflect

作者 basicmachines-cob941460b4d99480fa2eb1a230a62d2847927ea05无许可证4.1K 个星标收录于 2026年10月9日更新于 2026年10月9日仓库今天更新

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.

仅含说明AI & Agents
AI 生成的概览

在后台反思过程中,把近期对话与每日笔记提炼并整合为长期记忆。

功能
引导智能体执行一次周期性反思:收集近期修改的笔记和进行中的任务,判断哪些内容属于长期有效的决策、经验教训、偏好或关系信息,并把提炼结果写入长期记忆文件 MEMORY.md。它还会在当天的笔记中追加一条简短的反思记录,并更新或删除已被取代的条目。产出是经过整理的长期记忆文件和反思日志,而不是原始笔记的副本。
适用场景
适用于定时任务或心跳任务需要回顾近期活动时,用户明确要求反思、整合或回顾记忆时,以及上下文窗口压缩之后。
运行要求
仅包含指令,没有附带脚本。它假定可以使用 recent_activity、read_note、search_notes 等笔记与记忆工具,并拥有可写的 MEMORY.md 和每日笔记。

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

Find what changed recently, then read the relevant files:

python
# Find recently modified notes — json gives structured rows; text output# across all projects shows only the top itemsrecent_activity(timeframe="2d", output_format="json")
# Read specific daily notesread_note(identifier="memory/<YYYY-MM-DD>")
# Check active taskssearch_notes(note_types=["task"], status="active")

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  • Remove or update outdated entries that the new information supersedes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.

来源与署名

来源:basicmachines-co/basic-memory位于skills/memory-reflect提交b941460

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