Github Trends®
997 findingsmedian surprise 0.00049window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
▲РЕПО НЕТ В ОКНЕ 30D. ПОКАЗАН FINDING ИЗ ОКНА 180D (180 days) — РАНГ #324.
FINDING #324 · 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

SURPRISE0.000518
ENGAGEMENT1.03
FRESHNESS1.54
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
1.89
ACCEL
-0.02
RETENTION
6.1%
PEAK 2026-04-25 · FORK-RETENTION 85.0% · 340 STARS / WINDOW

Author Audience

AUDIENCE
3,608
FOLLOWERS
87
OWNER ★
17,170

Engagement Signals

FORKS
3,709
ISSUE AUTH
2
PR AUTH
16
UNIQUE STARGAZERS 337 / 340 (DIVERSITY 0.99)

Why This Is A Finding

MemoriLabs/Memori собрал 340 звёзд за окно, тогда как у автора всего 87 подписчиков — эффективная аудитория ≈ 3,608. Это даёт surprise-индекс 0.000518 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 85.0% и 18 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 997 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 68%
VELOCITY1.892.66-0.77ABOVE 24%
RETENTION6.1%5.6%+0.5 PPABOVE 55%
FORKS3,7092,332+1,377ABOVE 64%
SURPRISE0.000.00+0.00ABOVE 51%