Skip to main content

memto

Query dormant past sessions as expert collaborators. Use when: need to recall a past decision or debate, want to ask 'what did we conclude about X in the R38 session', or want to compare answers across multiple historical sessions.

跳到安装

来源信息

仓库
XHXIAIEIN/orchestrator
最近来源活动
2026年4月19日 17:48
检测到的 SKILL.md 语言
英语
星标
0
分支
0

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

检查来源文件

决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

正在显示 SKILL.md

SKILL.md
来源说明 · 只读预览
name
memto
description
Query dormant past sessions as expert collaborators. Use when: need to recall a past decision or debate, want to ask 'what did we conclude about X in the R38 session', or want to compare answers across multiple historical sessions.
# memto — Session Expert Protocol memto treats past Claude Code sessions as dormant collaborators. Instead of distilling facts, you fork the original session non-destructively, ask your question in the fork, then the fork is auto-cleaned up. ## When to Use - User asks "what did we decide about X" and `.remember/` doesn't have it - Need to verify a past architectural decision (e.g., "the R38 AutoAgent boundary debate") - Want to ask the same question across N past sessions and surface disagreements ## Commands List recent sessions matching a keyword: ``` memto list [--keyword <term>] [--top 10] ``` Ask a question across matching sessions (returns JSON for agent consumption): ``` memto ask "<keyword>" --question "<your question>" --top 3 --json ``` Ask a specific session by ID: ``` memto ask --session-id <id> --question "<your question>" ``` ## Constraints - Never modify original sessions — memto forks before querying - Use `--json` when consuming output in code; omit for human-readable output - `memto ask` spawns subprocesses and may take 30-120s per session; plan accordingly - If `memto` is not installed: `npm install -g memto`
在 GitHub 查看