AR
WooooDyy/AgentGym-RL
Code and implementations for the paper "AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning" by Zhiheng Xi et al.
676 68 +0/wk
GitHub
agent llm llm-based-agent scaling
Trend
3
Star & Fork Trend (53 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
WooooDyy/AgentGym-RL has +0 stars this period . 7-day velocity: 1.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | AgentGym-RL | llm-min.txt | ClawBio | Sentient |
|---|---|---|---|---|
| Stars | 676 | 676 | 676 | 677 |
| Forks | 68 | 15 | 122 | 96 |
| Weekly Growth | +0 | +0 | +2 | +0 |
| Language | Python | Python | HTML | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | NOASSERTION |
Capability Radar vs llm-min.txt
AgentGym-RL
llm-min.txt
Maintenance Activity 74
Last code push 53 days ago.
Community Engagement 50
Fork-to-star ratio: 10.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.