InternLM/Agent-FLAN
[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
361
Stars
10
Forks
33.2
Radar Score
Stable
Momentum
Scoring Breakdown
Impact43.5
Velocity24.0
Health29.8
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
—
Why it ranks
Modest but positive momentum.
Top 75% globally
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
65%
Mixed Signals
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
C
Based on maintenance, issue response, and release cadence.
Radar Score
33.2
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Maintenance cadence: Last push 964 days ago.
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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