(capture) Internal "Review the conversation above" prompts stored as user chunks — memory DB noise

[SonicBotMan]

Bug Description

Internal system prompts injected by Hermes Agent — specifically the "Review the conversation above, consider saving..." type prompts — are being stored as role: "user" chunks in the MemTensor memory database, causing noise pollution in long-term memory.

These prompts are instruction strings from the agent framework to itself, not user messages.

Root Cause

Location: apps/memos-local-openclaw/src/capture/index.ts

The captureMessages() function has a SKIP_ROLES filter (skips role: "system") and a BOOT_CHECK_RE pattern filter, but no content filter for "Review the conversation above..." prompts which arrive with role: "user".

Evidence

SELECT COUNT(*) FROM chunks WHERE content LIKE 'Review the conversation above%';
-- Returns: ~37 chunks per production instance

Proposed Fix

Add REVIEW_CONVERSATION_RE and a skip check in captureMessages(), following the same pattern as BOOT_CHECK_RE:

const REVIEW_CONVERSATION_RE = /^Review the conversation above/i;

if (role === "user" && REVIEW_CONVERSATION_RE.test(msg.content.trim())) {
  continue; // skip
}

PR with the fix: MemTensor/MemOS#1517

[MaiHHConnect]

💡 推荐一个相关的开源项目：CausaMem — 永久性记忆，因果记忆系统

https://github.com/MaiHHConnect/MHH-Causality-Memory

• 让 AI Agent 记住 200 万字符
• 13 维因果推理（前因后果自动推断）
• 四层结构 + Wiki 人类可读
• 双引擎搜索（向量 + FTS5 + 因果链）
• 情绪追踪（10 种状态）

或许可以作为参考 🌟