/memory

name: memory
description: "Use when: user asks to remember something, after solving a non-obvious problem, or to capture key session findings"

Memory Save

Save important content to your long-term memory database.

Commands

• `/mem:memory <content>` — Save the given content directly to memory
• `/mem:memory` (no args) — Auto-summarize recent session highlights and save key findings

Instructions

When the user invokes `/mem:memory`, determine the intent:

With explicit content

If the user provides content after the command:

1. Analyze the content to determine appropriate type (decision, bugfix, feature, refactor, discovery, change) 2. Generate a concise title from the content 3. Call `mem_save` with:

• `content`: the provided text
• `title`: auto-generated title
• `type`: inferred type (default: "discovery")
• `importance`: 2 (notable — user explicitly requested save)

With instructions/prompt

If the user provides instructions like "save the database schema we discussed" or "remember the fix for the auth bug":

1. Review recent conversation context 2. Extract the relevant information per the user's instruction 3. Call `mem_save` with extracted content, appropriate title and type, importance=2

No arguments (auto-save)

If no content is provided:

1. Review the current session's recent key findings 2. Identify: decisions made, bugs fixed, patterns discovered, important code changes 3. For each significant finding (max 5), call `mem_save` with:

• Clear title and structured content
• Appropriate type and importance level (1=routine, 2=notable)

4. Skip trivial or already-saved items 5. Report what was saved in a concise summary

Always set importance=2 for explicit saves (user chose to save), importance=1 for auto-saves of routine items, importance=2 for auto-saves of notable discoveries.