lcqysl/GEMS

GEMS: Agent-Native Multimodal Generation with Memory and Skills

144
Stars
10
Forks
27.1
Radar Score
Stable
Momentum

Scoring Breakdown

Impact28.9
Velocity21.6
Health31.9

Growth Metrics

7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python

Why it ranks

Modest but positive momentum.

Multimodal AI · omni-modalTop 88% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Unlicensed / Custom
Review license terms carefully before commercial adoption.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
27.1
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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