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View statistics and recent entries from the persistent memory database. Shows session count, knowledge areas, facts, and recent activity.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | memory-stats |
| description | View statistics and recent entries from the persistent memory database. Shows session count, knowledge areas, facts, and recent activity. |
Show statistics and recent entries from the persistent memory database.
When the user invokes /memory-stats, run these commands to show memory information:
PLUGIN_DIR="${PLUGIN_DIR:-$HOME/claude-turbo-search}"
"$PLUGIN_DIR/memory/memory-db.sh" stats
"$PLUGIN_DIR/memory/memory-db.sh" recent 5
Present the information clearly:
## Memory Database
| Type | Count |
|------|-------|
| Sessions | X |
| Knowledge areas | Y |
| Facts | Z |
## Recent Sessions
1. [date] - Summary of session 1
2. [date] - Summary of session 2
...
The user might ask for specific views:
/memory-stats facts - Show all facts/memory-stats knowledge - Show all knowledge areas/memory-stats search <query> - Search memoryFor these, use:
# Search
"$PLUGIN_DIR/memory/memory-db.sh" search "query"
Download the persistent memory database from your self-hosted dashboard into the current repo. Use after cloning a repo on a new machine to restore accumulated sessions, knowledge, facts, and embeddings for RAG/context.
Manually upload the persistent memory database to your self-hosted dashboard. Useful after directly running add-fact or add-knowledge — for normal session work, /remember already auto-pushes.
Save the current work session to persistent memory for future context. Summarizes accomplishments, tracks files modified, and stores learnings for cross-session continuity.
Interactive TUI knowledge graph viewer for the persistent memory database.
Show token economics comparing usage with turbo-search vs without. Demonstrates actual savings from search-first approach.
Index the current project for optimized search with QMD semantic search and fast file suggestions. Run this when entering a new codebase or after significant changes. Saves 60-80% tokens on exploration tasks.