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session-memory-workspace会话内存工作区

Agent Skill

session-memory-workspace 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

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周安装

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:session-memory-workspace(会话内存工作区)
来源仓库:https://github.com/breezezephyr/session-memory-workspace
安装命令:
openclaw skills install session-memory-workspace
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install session-memory-workspace

简介

将会话摘要写入日常记忆文件并搜索会话历史记录,以便 OpenClaw 可以回忆并引用过去的对话。

SKILL.md

name
session-memory
version
1.0.0
description
Write session summaries to daily memory files and search session history so OpenClaw can recall and cite past conversations.
metadata
{ "openclaw": { "emoji": "📅", "requires": { "bins": ["node"] } } }

session-memory

Use this skill when the user asks to remember yesterday’s (or a date’s) chat, to summarize a day’s sessions into memory, or to search past conversations (by keyword or date). It bridges session logs and the memory store so OpenClaw can answer “what did we talk about on …?” and use session context in replies.

When to use

  • User asks: “把昨天的聊天记到记忆里” / “总结一下 2 月 27 日的对话并写入 memory”
  • User asks: “查一下之前我们说过关于 XXX 的对话” / “搜索会话里关于 discord/股票 的内容”
  • User wants past chats to be searchable via memory/citations → run the summarize script for that day first, then normal memory search will include it.

Paths (default agent)

  • Sessions: ~/.openclaw/agents/main/sessions/

- sessions.json = index; <session-id>.jsonl = full transcript.

  • Memory: <workspace>/memory/

- Daily file: memory/YYYY-MM-DD.md. Create or append a ## Session summary section.

Run scripts from the workspace root (e.g. ~/.openclaw/workspace), or pass --workspace so memory/ is resolved correctly.

1. Summarize a day’s sessions → memory (session-to-memory)

Writes a session summary for the given date into memory/YYYY-MM-DD.md (creates the file or appends a section). Memory citations and RAG will then include that day’s chat.

node skills/session-memory/scripts/session-to-memory.js --date YYYY-MM-DD

Optional:

  • --date YYYY-MM-DD — date to summarize (default: yesterday in local time).
  • --workspace /path/to/workspace — workspace root; memory dir is <workspace>/memory (default: cwd or ~/.openclaw/workspace).
  • --sessions-dir /path — override sessions dir (default: ~/.openclaw/agents/main/sessions).
  • --append — append a “Session summary” section if the file exists; otherwise replace (default: append).
  • --max-messages 200 — cap messages per session when building summary (default: 200).

Example:

cd ~/.openclaw/workspace
node skills/session-memory/scripts/session-to-memory.js --date 2026-02-27 --append

Then answer the user with: “已把 2026-02-27 的会话摘要写入 memory/2026-02-27.md,之后你问当天的对话我就能通过记忆检索到。”

2. Search sessions (session-search)

Searches session JSONL by keyword and optional date range, returns snippets (session id, date, role, snippet) so the agent can use them in context. Does not write to memory; use this to answer “之前我们说过 XXX 吗?” or to gather context before summarizing.

node skills/session-memory/scripts/session-search.js --query "关键词" [--since YYYY-MM-DD] [--until YYYY-MM-DD] [--limit 20]

Optional:

  • --query "..." — search phrase (required).
  • --since YYYY-MM-DD — only sessions that started on or after this date.
  • --until YYYY-MM-DD — only sessions that started on or before this date.
  • --limit N — max number of snippets (default: 20).
  • --sessions-dir /path — override sessions dir.

Output: JSON array of { sessionId, date, role, snippet, timestamp } to stdout. Use the result in your reply or to decide whether to run session-to-memory for that day.

Example:

node skills/session-memory/scripts/session-search.js --query "discord 断联" --since 2026-02-26 --limit 10

3. List sessions by date (for discovery)

To see which days have sessions (e.g. before summarizing or searching):

for f in ~/.openclaw/agents/main/sessions/*.jsonl; do
  [ -f "$f" ] && echo "$(head -1 "$f" | jq -r '.timestamp' | cut -dT -f1) $(basename "$f" .jsonl)"
done | sort -r

If jq is not available, use the session-search script with a very broad query and --limit 1 per day, or run the summarize script with --date for a specific date (it will report “no sessions” if none).

Tips

  • Summarize after the day ends (or when the user asks) so memory/YYYY-MM-DD.md contains that day’s session summary; then OpenClaw’s memory/citation search will find it.
  • Session search is read-only over JSONL; it does not change memory. Use it to answer “有没有说过 XXX” or to prepare a summary.
  • Large sessions are truncated by --max-messages when summarizing to avoid huge memory files.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

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按下载量换算4,447

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安装前确认

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