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Stores a memory verbatim from user input with appropriate type classification and metadata. Use when the user says remember this, save this, store this, note that, or explicitly asks to record a decision, preference, convention, or learning.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Searches and injects relevant memories into context before starting work on a task. Use when beginning a new task, switching context, or when project history, past decisions, or coding conventions need to be loaded.
Consolidates stored memories by merging duplicates, resolving contradictions, and pruning stale entries. Use when memory count is high, search results feel noisy or repetitive, or periodic cleanup is needed to maintain memory quality.
Deletes memories by search query or memory ID with confirmation before removal. Use when removing outdated decisions, incorrect memories, sensitive data, or cleaning up after experiments. Also handles undo of recent additions.
Pins or unpins a memory to protect it from pruning during dream consolidation. Use when a memory is critical and must never be removed, such as architecture decisions, security constraints, or immutable team conventions.
Views or changes the default memory scope (project, session, or global) used when saving and searching memories. Use when the user wants to control whether memories are scoped to this repo, this run, or shared across all their projects.
Searches memories and displays compact one-liner results, or looks up a specific memory by ID. Use for quick memory lookups, checking if a decision was recorded, resolving [mem0:id] citations, or browsing memories without full category detail.
SOC 직업 분류 기준
| name | mem0-remember |
| description | Stores a memory verbatim from user input with appropriate type classification and metadata. Use when the user says remember this, save this, store this, note that, or explicitly asks to record a decision, preference, convention, or learning. |
Store a fact or learning directly into mem0.
The user provides the content as an argument: /mem0-remember <text>
If no text was provided, ask: "What should I remember?"
Based on the content, pick the best metadata.type:
| Content signal | Type |
|---|---|
| "we decided...", "always use...", "never..." | decision |
| "X doesn't work because...", "don't try..." | anti_pattern |
| "I prefer...", "use X instead of Y" | user_preference |
| "the convention is...", "we always..." | convention |
| "learned that...", "figured out..." | task_learning |
| setup, env, tooling, config | environmental |
| anything else | task_learning |
Call add_memory with:
text="<the user's text>"user_id=<active_user_id>app_id=<active_project_id>metadata={"type": "<classified_type>", "branch": "<active_branch>", "confidence": 1.0, "source": "remember_command"}infer=Falseinfer=False because the user stated the fact explicitly — no extraction needed.
confidence=1.0 because the user explicitly asked to store this.
The add_memory response returns event_id (not memory_id) because writes are async.
Call get_event_status(event_id=<event_id>) once.
SUCCEEDED: print the memory ID from the result.PENDING or processing: print with the event ID as fallback.Remembered as <type>: "<content, first 80 chars>"
Memory ID: <id from event status>
Append ... only if content was truncated (longer than 80 chars).
IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.