Github Trends®
1554 findingsmedian surprise 0.00063window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #577 · 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

SURPRISE0.000783
ENGAGEMENT1.12
FRESHNESS1.26
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.78
ACCEL
-0.03
RETENTION
6.8%
PEAK 2026-04-25 · FORK-RETENTION 50.3% · 500 STARS / WINDOW

Author Audience

AUDIENCE
3,508
FOLLOWERS
86
OWNER ★
16,678

Engagement Signals

FORKS
3,439
ISSUE AUTH
2
PR AUTH
19
UNIQUE STARGAZERS 496 / 500 (DIVERSITY 0.99)

Why This Is A Finding

MemoriLabs/Memori собрал 500 звёзд за окно, тогда как у автора всего 86 подписчиков — эффективная аудитория ≈ 3,508. Это даёт surprise-индекс 0.000783 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 50.3% и 21 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1554 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 63%
VELOCITY2.782.67+0.11ABOVE 52%
RETENTION6.8%5.6%+1.2 PPABOVE 56%
FORKS3,4391,668+1,772ABOVE 69%
SURPRISE0.000.00+0.00ABOVE 54%