by RUC-NLPIR · Agent Tool · ★ 100
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EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis 中文 | English If you like our project, please give us a star ⭐ on GitHub. We greatly appreciate your support. 🎬 De
| Stars | 100 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 41.75/100 |
| Open Issues | 1 |
| Last Updated | 2026-02-12 |
| Created | 2026-01-09 |
| Platforms | python |
| Est. Tokens | ~1942k |
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EnvScaler is The official implementation of "EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis".. It is categorized as a Agent Tool with 100 GitHub stars.
EnvScaler is primarily written in Python. It covers topics such as agent, llms, tool-use.
You can find installation instructions and usage details in the EnvScaler GitHub repository at github.com/RUC-NLPIR/EnvScaler. The project has 100 stars and 4 forks, indicating an active community.
EnvScaler is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to EnvScaler on Agent Skills Hub include VT.ai, llm-tool-collection, bigcodebench. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.