Github Trends®
1696 findingsmedian surprise 0.00059window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #685 · 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

SURPRISE0.000731
ENGAGEMENT1.25
FRESHNESS1.15
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.53
ACCEL
-0.04
RETENTION
5.3%
PEAK 2026-04-25 · FORK-RETENTION 43.2% · 456 STARS / WINDOW

Author Audience

AUDIENCE
3,424
FOLLOWERS
83
OWNER ★
16,289

Engagement Signals

FORKS
3,260
ISSUE AUTH
4
PR AUTH
26
UNIQUE STARGAZERS 454 / 456 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 456 звёзд за окно, тогда как у автора всего 83 подписчиков — эффективная аудитория ≈ 3,424. Это даёт surprise-индекс 0.000731 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 43.2% и 30 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1696 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 60%
VELOCITY2.532.82-0.29ABOVE 45%
RETENTION5.3%4.8%+0.5 PPABOVE 54%
FORKS3,2601,584+1,677ABOVE 69%
SURPRISE0.000.00+0.00ABOVE 53%