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---
name: stats
description: Show memory usage stats for this session and project
---
# Mem0 Stats
Show session and lifetime memory statistics.
## Execution
### Step 1: Gather session stats
Run the session stats reporter:
```bash
SCRIPT_DIR="${CLAUDE_PLUGIN_ROOT:-${CODEX_PLUGIN_ROOT:-${CURSOR_PLUGIN_ROOT:-}}}/scripts"
python3 "$SCRIPT_DIR/session_stats.py" peek 2>/dev/null || echo "{}"
```
The `peek` command returns JSON without clearing the stats file (unlike `report`).
If the script returns empty or errors, note "No session data available" and continue.
### Step 2: Fetch lifetime stats from API
Call `get_memories` with:
- `user_id=<active_user_id>`
- `app_id=<active_project_id>`
- `page_size=100`
Count the returned memories. Group them by:
1. `categories[0]` (platform-assigned) — primary grouping
2. `metadata.type` (agent-assigned) — secondary if no categories
3. `created_at` date — for age analysis
Also run a `search_memories` call with `query="project"`, `limit=1` to measure round-trip latency (time the call).
### Step 3: Display
Print a minimal dashboard. No ASCII bar charts — use a clean table layout:
```
## mem0 stats
**Session** — 3 written, 5 searches, categories: decision, convention
**Project: my-project** — 55 memories, API: 84ms
| Category | Count |
|----------------------|-------|
| decision | 24 |
| convention | 15 |
| anti_pattern | 6 |
| task_learning | 5 |
| user_preference | 3 |
| session_state | 2 |
**Age** — oldest: 2026-02-15, newest: 2026-05-23
< 7 days: 5 · 7–30d: 12 · 30–90d: 10 · > 90d: 8
**Identity** — user: kartik · project: my-project · branch: main
```
**Display rules:**
- Category table: sort by count descending, omit categories with 0 memories
- Age: single line with dot-separated buckets, computed from `created_at`
- Session line: skip if no session data available
- If only 1-2 total memories, skip the category table — just show the count
- Keep everything compact — no decorative borders or filler
## Weekly digest mode
When invoked with `--weekly` (e.g., `/mem0:stats --weekly`), append a weekly
activity digest after the standard stats dashboard:
### W1: Fetch recent memories
Call `search_memories` in parallel with time-scoped queries:
1. `query="decisions made this week"`, `filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}, {"created_at": {"gte": "<7 days ago YYYY-MM-DD>"}}]}`, `limit=20`
2. `query="bugs errors fixes"`, same time filter, `limit=20`
3. `query="patterns conventions learnings"`, same time filter, `limit=20`
### W2: Analyze
Merge by ID. Group into "New this week" by `categories[0]` or `metadata.type`.
Calculate: memories added last 7 days, most active categories, most active day.
### W3: Display
Append after the standard stats:
```
### This week (May 16 – May 23)
+12 memories — most active: Wednesday (5)
| Category | New |
|---------------|-----|
| decision | 5 |
| task_learning | 4 |
| bug_fix | 3 |
**Highlights**
- <2-3 sentence summary of most important decisions/learnings this week>
```
### W4: Write digest file
Write to `~/.mem0/weekly-digest.md` (overwrite). Append one-line to
`~/.mem0/digest-history.log`:
```
<YYYY-MM-DD> | <project_id> | +<new_count> memories | top: <top_category>
```
### W5: Empty state
If no new memories in 7 days:
```
No new memories in the past week. Total: <N> memories in <project_id>.
```