Github Trends®
9591 findingsmedian surprise 0.00783window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #3327 · 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

SURPRISE0.00441
ENGAGEMENT1.00
FRESHNESS1.31
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
15.27
ACCEL
+0.62
RETENTION
9.7%
PEAK 2026-08-15 · FORK-RETENTION 42.7% · 458 STARS / WINDOW

Author Audience

AUDIENCE
3,424
FOLLOWERS
83
OWNER ★
16,289

Engagement Signals

FORKS
3,260
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 458 / 458 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 458 звёзд за окно, тогда как у автора всего 83 подписчиков — эффективная аудитория ≈ 3,424. Это даёт surprise-индекс 0.00441 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 42.7% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 65%
VELOCITY15.273.63+11.63ABOVE 86%
RETENTION9.7%24.8%-15.1 PPABOVE 21%
FORKS3,260120+3,140ABOVE 97%
SURPRISE0.000.01-0.00ABOVE 36%