Save an insight, decision, or learning to agentmemory's long-term storage with searchable concept tags. Use when the user says "remember this", "save this", "no
复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-remember-ae019b1b71b7 ,按照其中的说明把「remember」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
查看 AI 将读取的安装说明正在读取 GitHub 原文…
内容来自 GitHub 原始文件,由原作者维护。在 GitHub 查看
The user wants to save this to long-term memory: $ARGUMENTS
memory_save {
"content": "We rotate JWT refresh tokens on every use; the old token is revoked server-side in auth/refresh.ts.",
"concepts": "jwt-refresh-rotation, token-revocation, auth-flow",
"files": "src/auth/refresh.ts"
}
Expected output:
Saved memory abc12345 with 3 concepts: jwt-refresh-rotation, token-revocation, auth-flow.
A memory is only as useful as the terms that retrieve it. Tag with specific
concepts so a future recall finds it, and preserve the user's own phrasing.
$ARGUMENTS.jwt-refresh-rotation beats auth).memory_save with content, concepts (comma-separated string), and
files (comma-separated string). In a multi-agent setup pass agentId so
the memory lands in the right agent's scope.WRONG: concepts: "stuff, code, notes" (generic tags nothing can find later).
RIGHT: concepts: "jwt-refresh-rotation, token-revocation" (specific, retrievable).
recall: retrieve what you save here (the pair to this skill).forget: remove a memory you saved by mistake.lesson: behavioral rules from corrections; memories are for facts.memory-discipline: when to save unprompted.See ../_shared/TROUBLESHOOTING.md if memory_save is not available.