Github Trends®
9679 findingsmedian surprise 0.00864window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #2142 · UNIT ID 1025381911
MemoriLabs/Memori
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00737
ENGAGEMENT1.00
FRESHNESS1.48
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
26.13
ACCEL
-0.13
RETENTION
12.9%
PEAK 2026-08-15 · FORK-RETENTION 71.0% · 784 STARS / WINDOW

Author Audience

AUDIENCE
3,508
FOLLOWERS
86
OWNER ★
16,678

Engagement Signals

FORKS
3,439
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 784 / 784 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 784 звёзд за окно, тогда как у автора всего 86 подписчиков — эффективная аудитория ≈ 3,508. Это даёт surprise-индекс 0.00737 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 71.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9679 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 78%
VELOCITY26.133.80+22.33ABOVE 92%
RETENTION12.9%25.0%-12.1 PPABOVE 26%
FORKS3,439112+3,327ABOVE 97%
SURPRISE0.010.01-0.00ABOVE 46%