Memory Reflect
/install memory-reflect
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:
# Find recently modified notes — use json format for the complete list
# (text format truncates to ~5 items in the summary)
recent_activity(timeframe="2d", output_format="json")
# Read specific daily notes
read_note(identifier="memory/2026-02-27")
read_note(identifier="memory/2026-02-26")
# Check active tasks
search_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- Remove or update outdated entries that the new information supersedes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:
## 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.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install memory-reflect - 安装完成后,直接呼叫该 Skill 的名称或使用
/memory-reflect触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Memory Reflect 是什么?
Sleep-time memory reflection: review recent conversations and daily notes, extract insights, and consolidate into long-term memory. Use when triggered by cro... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 324 次。
如何安装 Memory Reflect?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install memory-reflect」即可一键安装,无需额外配置。
Memory Reflect 是免费的吗?
是的,Memory Reflect 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Memory Reflect 支持哪些平台?
Memory Reflect 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Memory Reflect?
由 Paul Hernandez(@phernandez)开发并维护,当前版本 v0.1.0。