RichmondAlake/memorizz
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
760
Stars
77
Forks
52.5
Radar Score
Stable
Momentum
Scoring Breakdown
Impact62.8
Velocity33.1
Health63.3
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Modest but positive momentum.
Top 36% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
77%
Moderate Confidence
License
NOASSERTION
Review license terms carefully before commercial adoption.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
52.5
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 1 open issues for 760 stars (0.1%).
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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