Dipraise1/Engram

Decentralized vector database on Bittensor — content-addressed semantic memory for AI

13
Stars
28
Forks
31.9
Radar Score
Rising
Momentum

Scoring Breakdown

Impact12.7
Velocity48.1
Health40.0

Growth Metrics

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

Why it ranks

Steady growth — consistently collecting stars and contributors.

RAG · vector databaseTop 78% globally

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
31.9
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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