Github Trends®
8833 findingsmedian surprise 0.00433window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1316 · 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

SURPRISE0.0131
ENGAGEMENT0.91
FRESHNESS1.01
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
46.33
ACCEL
+17.00
RETENTION
0.0%
PEAK 2026-09-12 · FORK-RETENTION 0.0% · 139 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 139 / 139 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 139 звёзд за окно, тогда как у автора всего 86 подписчиков — эффективная аудитория ≈ 3,508. Это даёт surprise-индекс 0.0131 (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 8833 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 85%
VELOCITY46.335.67+40.67ABOVE 94%
RETENTION0.0%45.9%-45.9 PPABOVE 0%
FORKS3,439344+3,095ABOVE 89%
SURPRISE0.010.00+0.01ABOVE 68%