vibecosystem

Remember - Store Learning in Memory

Store a learning, pattern, or decision in the memory system for future recall.

Usage

/remember <what you learned>

Or with explicit type:

/remember --type WORKING_SOLUTION <what you learned>

Examples

/remember TypeScript hooks require npm install before they work
/remember --type ARCHITECTURAL_DECISION Session affinity uses terminal PID
/remember --type FAILED_APPROACH Don't use subshell for store_learning command

What It Does

1. Stores the learning in PostgreSQL with BGE embeddings
2. Auto-detects learning type if not specified
3. Extracts tags from content
4. Returns confirmation with ID

Learning Types

| Type | Use For | |------|---------| | WORKING_SOLUTION | Fixes, solutions that worked (default) | | ARCHITECTURAL_DECISION | Design choices, system structure | | CODEBASE_PATTERN | Patterns discovered in code | | FAILED_APPROACH | What didn't work | | ERROR_FIX | Specific error resolutions |

Execution

When this skill is invoked, run:

cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/store_learning.py \
  --session-id "manual-$(date +%Y%m%d-%H%M)" \
  --type <TYPE or WORKING_SOLUTION> \
  --content "<ARGS>" \
  --context "manual entry via /remember" \
  --confidence medium

Auto-Type Detection

If no --type specified, infer from content:

• Contains "error", "fix", "bug" → ERROR_FIX
• Contains "decided", "chose", "architecture" → ARCHITECTURAL_DECISION
• Contains "pattern", "always", "convention" → CODEBASE_PATTERN
• Contains "failed", "didn't work", "don't" → FAILED_APPROACH
• Default → WORKING_SOLUTION