Github Trends®
1335 findingsmedian surprise 0.00061window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #414 · 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

SURPRISE0.000793
ENGAGEMENT1.37
FRESHNESS1.47
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.62
ACCEL
-0.08
RETENTION
8.1%
PEAK 2026-04-25 · FORK-RETENTION 81.1% · 236 STARS / WINDOW

Author Audience

AUDIENCE
3,268
FOLLOWERS
74
OWNER ★
15,601

Engagement Signals

FORKS
2,817
ISSUE AUTH
2
PR AUTH
16
UNIQUE STARGAZERS 235 / 236 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 236 звёзд за окно, тогда как у автора всего 74 подписчиков — эффективная аудитория ≈ 3,268. Это даёт surprise-индекс 0.000793 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 81.1% и 18 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1335 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 69%
VELOCITY2.622.82-0.20ABOVE 45%
RETENTION8.1%8.4%-0.3 PPABOVE 48%
FORKS2,8171,463+1,354ABOVE 66%
SURPRISE0.000.00+0.00ABOVE 55%