TeleAI-UAGI/Awesome-Agent-Memory — GitHub trend

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FINDING #2830 · UNIT ID 1086124473

TeleAI-UAGI/Awesome-Agent-Memory

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00759

ENGAGEMENT0.20

FRESHNESS1.39

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

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

12% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.13

ACCEL

+0.02

RETENTION

42.6%

PEAK 2026-06-22 · FORK-RETENTION 0.0% · 64 STARS / WINDOW

Author Audience

AUDIENCE

241

FOLLOWERS

OWNER ★

1,075

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 64 / 64 (DIVERSITY 1.00)

Why This Is A Finding

TeleAI-UAGI/Awesome-Agent-Memory собрал 64 звёзд за окно, тогда как у автора всего 13 подписчиков — эффективная аудитория ≈ 241. Это даёт surprise-индекс 0.00759 (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 55% OF 6295 FINDINGS

#01shy3130/tickflow-stock-panel[ PYTHON ]0.46 #06Panniantong/Agent-Reach[ PYTHON ]0.29 #10sums001/Windows-Copilot-API[ PYTHON ]0.27 #12HUANGCHIHHUNGLeo/claude-real-video[ PYTHON ]0.24 #14realiti4/claude-swap[ PYTHON ]0.21

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 55%

VELOCITY2.134.23-2.10ABOVE 20%

RETENTION42.6%29.4%+13.2 PPABOVE 75%

FORKS6292-30ABOVE 39%

SURPRISE0.010.01-0.00ABOVE 39%