Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #2140 · UNIT ID 1122669244
Dataojitori/nocturne_memory
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.013
ENGAGEMENT0.20
FRESHNESS1.36
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.33
ACCEL
-0.04
RETENTION
29.8%
PEAK 2026-06-22 · FORK-RETENTION 0.0% · 70 STARS / WINDOW

Author Audience

AUDIENCE
139
FOLLOWERS
11
OWNER ★
1,279

Engagement Signals

FORKS
155
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 70 / 70 (DIVERSITY 1.00)

Why This Is A Finding

Dataojitori/nocturne_memory собрал 70 звёзд за окно, тогда как у автора всего 11 подписчиков — эффективная аудитория ≈ 139. Это даёт surprise-индекс 0.013 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 66%
VELOCITY2.334.23-1.90ABOVE 25%
RETENTION29.8%29.4%+0.4 PPABOVE 51%
FORKS15592+63ABOVE 63%
SURPRISE0.010.01+0.00ABOVE 52%