JDSS/mem0

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kartik-mem0 71a6696c87 refactor(mem0-plugin): improve hook scripts, config parsing, and skill definitions

Update git commit capture with better error handling, enhance user prompt hook,
extend config parser capabilities, and refine skill docs for dream, health,
mcp, pin, and stats skills.

2026-05-22 14:23:06 +05:30

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name, description

name	description
mem0-stats	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:

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:

categories[0] (platform-assigned) — primary grouping
metadata.type (agent-assigned) — secondary if no categories
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+.

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