Github Trends®
4503 findingsmedian surprise 0.00322window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2287 · 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

SURPRISE0.0016
ENGAGEMENT0.50
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
5.33
ACCEL
+1.50
RETENTION
55.6%
PEAK 2026-07-26 · FORK-RETENTION 0.0% · 16 STARS / WINDOW

Author Audience

AUDIENCE
3,289
FOLLOWERS
75
OWNER ★
15,695

Engagement Signals

FORKS
2,884
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)

Why This Is A Finding

MemoriLabs/Memori собрал 16 звёзд за окно, тогда как у автора всего 75 подписчиков — эффективная аудитория ≈ 3,289. Это даёт surprise-индекс 0.0016 (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 4503 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 49%
VELOCITY5.335.330.00ABOVE 50%
RETENTION55.6%0.0%+55.6 PPABOVE 81%
FORKS2,884457+2,427ABOVE 83%
SURPRISE0.000.00-0.00ABOVE 38%