Github Trends®
4998 findingsmedian surprise 0.0059window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
FINDING #800 · 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

SURPRISE0.0169
ENGAGEMENT0.68
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
60.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-09-12 · FORK-RETENTION 0.0% · 60 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 60 / 60 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 60 звёзд за окно, тогда как у автора всего 86 подписчиков — эффективная аудитория ≈ 3,508. Это даёт surprise-индекс 0.0169 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4998 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 84%
VELOCITY60.009.00+51.00ABOVE 93%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS3,439459+2,980ABOVE 85%
SURPRISE0.020.01+0.01ABOVE 67%