Github Trends®
9789 findingsmedian surprise 0.00728window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #5870 · UNIT ID 1358571386
okf-memory/okf-agent-memory
Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
[ GO ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.28
ENGAGEMENT0.33
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
57% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
48.00
ACCEL
-6.75
RETENTION
30.5%
PEAK 2026-09-07 · FORK-RETENTION 74.1% · 336 STARS / WINDOW

Author Audience

AUDIENCE
132
FOLLOWERS
7
OWNER ★
588

Engagement Signals

FORKS
39
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 336 / 336 (DIVERSITY 1.00)

Why This Is A Finding

okf-memory/okf-agent-memory собрал 336 звёзд за окно, тогда как у автора всего 7 подписчиков — эффективная аудитория ≈ 132. Это даёт surprise-индекс 0.28 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 74.1% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9789 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 40%
VELOCITY48.003.43+44.57ABOVE 96%
RETENTION30.5%37.5%-7.0 PPABOVE 39%
FORKS39119-80ABOVE 26%
SURPRISE0.280.01+0.27ABOVE 99%