Github Trends®
2987 findingsmedian surprise 0.00082window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #986 · 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

SURPRISE0.00117
ENGAGEMENT1.40
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.87
ACCEL
-0.03
RETENTION
7.7%
PEAK 2026-02-22 · FORK-RETENTION 68.6% · 697 STARS / WINDOW

Author Audience

AUDIENCE
3,268
FOLLOWERS
74
OWNER ★
15,601

Engagement Signals

FORKS
2,817
ISSUE AUTH
10
PR AUTH
39
UNIQUE STARGAZERS 695 / 697 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 697 звёзд за окно, тогда как у автора всего 74 подписчиков — эффективная аудитория ≈ 3,268. Это даёт surprise-индекс 0.00117 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 68.6% и 49 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2987 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 67%
VELOCITY3.872.84+1.03ABOVE 65%
RETENTION7.7%6.8%+0.9 PPABOVE 55%
FORKS2,8171,068+1,749ABOVE 73%
SURPRISE0.000.00+0.00ABOVE 57%