Human-Agent-Society/CORAL — GitHub trend

FINDING #1754 · UNIT ID 1183057754

Human-Agent-Society/CORAL

🔥🔥COLM 2026🔥🔥 CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch. Works with Claude Code, Codex, Cursor, OpenCode, Kiro, and more.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0184

ENGAGEMENT0.20

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

4.43

ACCEL

+0.68

RETENTION

40.0%

PEAK 2026-07-14 · FORK-RETENTION 0.0% · 31 STARS / WINDOW

Author Audience

AUDIENCE

201

FOLLOWERS

OWNER ★

822

Engagement Signals

FORKS

105

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 31 / 31 (DIVERSITY 1.00)

Why This Is A Finding

Human-Agent-Society/CORAL собрал 31 звёзд за окно, тогда как у автора всего 19 подписчиков — эффективная аудитория ≈ 201. Это даёт surprise-индекс 0.0184 (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.

Related Findings

RANKS ABOVE 75% OF 6892 FINDINGS

#01MDX-Tom/gpt-5.6-instruct[ PYTHON ]0.86 #02Git-creat7/grokRegister-cpa[ PYTHON ]0.67 #04William-Lu-stack/LuxyAI[ PYTHON ]0.52 #05AlephAITech/WorkBuddyGuide[ PYTHON ]0.51 #06Cjbuilds/Codex-Orchestration[ PYTHON ]0.51

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 75%

VELOCITY4.434.14+0.29ABOVE 52%

RETENTION40.0%40.6%-0.6 PPABOVE 47%

FORKS10589+16ABOVE 54%

SURPRISE0.020.01+0.01ABOVE 65%