shawn0728/OpenSearch-VL
๐ OpenSearch-VL provides a fully open recipe for training strong multimodal deep search agents through high-quality data curation, diverse visual/search tools, and fatal-aware agentic reinforcement learning.
269
Stars
29
Forks
43.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact40.2
Velocity37.9
Health56.9
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Steady growth โ consistently collecting stars and contributors.
Multimodal AI ยท vision-languageTop 54% globally
Popular Alternatives & Competitors
Top projects in the same category (Multimodal AI) โ compare side by side.
๐ก๏ธ 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
A
Based on maintenance, issue response, and release cadence.
Radar Score
43.6
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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