AG
WooooDyy/AgentGym
Code and implementations for the ACL 2025 paper "AgentGym: Evolving Large Language Model-based Agents across Diverse Environments" by Zhiheng Xi et al.
762 108 +0/wk
GitHub
agent large-language-models llm llm-based-agent
Trend
3
Star & Fork Trend (30 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
WooooDyy/AgentGym has +0 stars this period . 7-day velocity: 0.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | AgentGym | studio-lab-examples | awesome-data-llm | pocketpaw |
|---|---|---|---|---|
| Stars | 762 | 762 | 762 | 761 |
| Forks | 108 | 227 | 67 | 292 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Jupyter Notebook | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | N/A | MIT |
Capability Radar vs studio-lab-examples
AgentGym
studio-lab-examples
Maintenance Activity 0
Last code push 210 days ago.
Community Engagement 71
Fork-to-star ratio: 14.2%. 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.