memory-extractor

Purpose

Builds structured memory from raw chat data so ops skills (inbox, comms, go) can draft context-aware messages. Reads WhatsApp (bridge messages.db) and email (gog) history, calls Claude Sonnet for extraction, and writes/merges structured markdown memory files.

Memory Location

~/.claude/plugins/data/ops-ops-marketplace/memories/

File Types

File	Contents
contact_*.md	Per-contact profile cards (one per person)
preferences.md	User communication patterns, tone, scheduling
topics_active.md	Ongoing conversations, pending decisions, deadlines
donts.md	Things to avoid — extracted from corrections and complaints
.health	JSON health status written after each run

How Skills Use This

Before drafting any reply, skills check memories/ for:

1. Contact profile — contact_<slug>.md for the recipient
2. Topic context — topics_active.md for active threads
3. User preferences — preferences.md for tone/style/language
4. Restrictions — donts.md for things to never do

Example usage in a skill:

MEMORIES="${HOME}/.claude/plugins/data/ops-ops-marketplace/memories"

# Load contact profile
CONTACT_FILE=$(ls "${MEMORIES}/contact_"*jane-doe* 2>/dev/null | head -1)
[[ -f "${CONTACT_FILE}" ]] && cat "${CONTACT_FILE}"

# Load user preferences
[[ -f "${MEMORIES}/preferences.md" ]] && cat "${MEMORIES}/preferences.md"

# Load restrictions
[[ -f "${MEMORIES}/donts.md" ]] && cat "${MEMORIES}/donts.md"

Data Sources

• WhatsApp: direct sqlite3 query on bridge messages.db:

  DB="${WHATSAPP_BRIDGE_DB:-$HOME/.local/share/whatsapp-mcp/whatsapp-bridge/store/messages.db}"
  sqlite3 "$DB" "SELECT chat_jid, sender, content, timestamp, is_from_me FROM messages WHERE timestamp >= '<yesterday>' ORDER BY timestamp DESC LIMIT 200;"
  

  • Requires bridge running: lsof -i :8080 | grep LISTEN
• Email: gog gmail search -j --results-only --no-input --max 20 "newer_than:1d"
  • Requires gog available