Mem0 Remember

Store a fact or learning directly into mem0.

Execution

Step 1: Extract the content

The user provides the content as an argument: /mem0-remember <text>

If no text was provided, ask: "What should I remember?"

Step 2: Classify the memory

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

Step 3: Store

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=False

infer=False because the user stated the fact explicitly — no extraction needed. confidence=1.0 because the user explicitly asked to store this.

Step 4: Confirm

The add_memory response returns event_id (not memory_id) because writes are async. Call get_event_status(event_id=<event_id>) once.

• If status is SUCCEEDED: print the memory ID from the result.
• If status is 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).

Output formatting

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.