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.

ソース情報

リポジトリ
XHXIAIEIN/orchestrator
ソースの最終更新活動
2026年4月19日 17:48
検出された SKILL.md の言語
英語
スター
0
フォーク
0

インストール方法

デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。

ソースファイルを確認

インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。

SKILL.md を表示中

SKILL.md
ソースの指示 · 読み取り専用プレビュー
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`
GitHubで見る