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---
name: mem0-stats
description: >
Show memory statistics for the current session and project lifetime.
Combines local session counters with API-fetched totals.
TRIGGER: user runs /mem0:stats, or asks "how many memories", "mem0 stats",
"memory usage", "show memory count".
---
# 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 compact dashboard with an ASCII histogram for category distribution:
```
## mem0 Stats
### This Session
Memories written: <N>
Searches run: <N>
Categories touched: <list>
### Project Lifetime (<project_id>)
Total memories: <N>
By category:
decision ████████████████ 24
convention ██████████░░░░░░ 15
anti_pattern ████░░░░░░░░░░░░ 6
task_learning ███░░░░░░░░░░░░░ 5
user_preference ██░░░░░░░░░░░░░░ 3
session_state █░░░░░░░░░░░░░░░ 2
By age:
< 7 days ████████████████ 5
7–30 days ██████████░░░░░░ 12
30–90 days ████░░░░░░░░░░░░ 10
> 90 days ██░░░░░░░░░░░░░░ 8
By access count:
Never accessed ████████████████ 18
1–5 accesses ████████░░░░░░░░ 10
6–20 accesses ████░░░░░░░░░░░░ 4
20+ accesses █░░░░░░░░░░░░░░░ 3
Oldest memory: <date>
Newest memory: <date>
### Health
API latency: <N>ms
User: <user_id>
Project: <project_id>
Branch: <branch>
```
**Histogram rules:**
- Max bar width: 16 characters. Scale all bars relative to the highest count.
- Use `█` for filled and `░` for empty. Right-align the count number.
- Sort categories by count descending. Omit categories with 0 memories.
- If only 1-2 categories exist, still show the histogram — it provides visual context.
- **Age buckets:** Compute from `created_at`. Buckets: <7d, 7–30d, 30–90d, >90d.
- **Access count buckets:** Read `metadata.access_count` (default 0 if absent). Buckets: 0, 1–5, 6–20, 20+.
Skip any section with zero data.
## 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:
```
### Weekly Digest (<start_date> to <today>)
New Memories This Week: <N>
<category>: <count>
- <memory summary, 80 chars> (<date>)
- ...
Activity Pattern
Most active day: <day> (<N> memories)
Categories touched: <list>
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 for <project_id>.
Total project memories: <N>.
```