session-archiver
Session auto-archiver. Automatically archives completed sessions by extracting meaningful user+assistant messages from .reset transcript files and appending to daily memory.
Best use case
session-archiver is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Session auto-archiver. Automatically archives completed sessions by extracting meaningful user+assistant messages from .reset transcript files and appending to daily memory.
Teams using session-archiver should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/session-archiver/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How session-archiver Compares
| Feature / Agent | session-archiver | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Session auto-archiver. Automatically archives completed sessions by extracting meaningful user+assistant messages from .reset transcript files and appending to daily memory.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Session Archiver 自动归档对话历史到每日 memory,保留 user + assistant 消息。双保险触发:cron 每小时 + /new 时 spawn。 ## 核心要点 1. **双保险触发** — cron 每小时自动运行 + /new 时 spawn subagent,确保不遗漏 2. **去重** — marker + memory 内容双保险,避免重复归档 3. **归档内容** — user + assistant 消息,彻底剥离元数据 4. **自动清理** — 保留最近 30 天日志,超出自动删除 5. **洞察提炼** — 自动提取值得沉淀的洞察候选,供下次会话审查 6. **零感知** — cron 归档静默不通知用户;/new 时 spawn 也不阻塞主窗口 7. **零配置** — 首次运行自动集成到 AGENTS.md,无需手动修改 ## 快速集成 **无需手动操作。** 脚本首次运行时自动检测 AGENTS.md 并追加集成内容(搜索 `session-archiver` 关键词判断是否已集成)。 自动写入的内容为 Session Startup 第 5、6 步: - 第 5 步:spawn 后台 subagent 运行归档脚本 - 第 6 步:主 agent 审查洞察候选文件 ## 脚本位置 - 归档脚本:`scripts/session-auto-archive.js` - 洞察提取:`scripts/extract-insights.js` ## 执行方式 ### 机制 1:cron 每小时兜底(主流程) 通过 OpenClaw cron 系统部署,每小时执行一次 isolated subagent 运行归档脚本。delivery=none,静默运行不通知用户。 ### 机制 2:/new 时即时触发(补充) Session Startup 第 5 步 spawn 后台 subagent 运行归档脚本,确保即时性。 > 双保险:两者共享同一个去重 marker(memory/.last_archived_session),不会重复归档。 ## 工作流程 1. 扫描 `~/.openclaw/agents/main/sessions/` 找最新 `.reset.*` 文件 2. 去重 A:检查 marker 文件 3. 去重 B:检查 memory 文件是否已有该 sessionId 4. 解析 JSONL,提取 user + assistant 消息 5. 彻底剥离 Conversation info 元数据 6. 短时内容相似去重(hash 前 80 字符) 7. 追加到 `memory/YYYY-MM-DD.md` 8. 更新 marker 9. **自动清理** — 删除 30 天前的 memory 文件 10. **洞察提炼** — 分析归档内容,结果写入 `memory/.insights-candidates-YYYY-MM-DD.md` ## 去重机制 | 检查点 | 文件 | 说明 | |--------|------|------| | marker | memory/.last_archived_session | 记录上次处理的 sessionId | | memory 内容 | memory/YYYY-MM-DD.md | 搜索「来源 session: id」 | ## 洞察候选文件 分析归档内容,识别 6 类值得提炼的信息: | 类型 | 说明 | |------|------| | 🤕 纠正 | 用户纠正了 AI 的行为 | | 🔄 自我修正 | AI 承认错误或改进 | | 📌 决策 | 形成了明确结论或建议 | | 💡 偏好 | 用户表达了明确偏好 | | ⚙️ 工作流变化 | 任务分工、工具选择发生变化 | | 📝 教训 | 需要记住避免重蹈的规则 | 输出到 `memory/.insights-candidates-YYYY-MM-DD.md`,主 agent 在下次 Session Startup 时审查,决定是否吸收进 self-improving 文件。 ## 注意事项 - 仅沉淀 text 内容,图片/文件不内联存储 - 长期重要内容需人工迁移至 MEMORY.md - 主窗口永远不直接运行脚本,只 spawn subagent - cron 归档和 /new spawn 共享 marker,不会重复归档 - 洞察提炼为辅助功能,找不到候选时静默退出
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