ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration Hongjin Su, Shizhe Diao, Ximing Lu, Mingjie Liu, Jiacheng Xu, Xin Dong, Yonggan Fu, Peter Belcak, Hanrong Ye, Hongxu Yin, Yi Dong, Evelina Bakhturina, Tao Yu, Yejin Choi, Jan Kautz, Pavlo Molchanov NVIDIA · The University of Hong Kong Equal Contribution 📰 News 2025/12/5: Our generated dataset ToolScale became the #1 most-downloaded dataset on Hugging Face, and Nemotron-Orchestrator-8B ranked #3 among all models.
| Stars | 766 |
| Forks | 109 |
| Language | Python |
| Category | AI 工具 |
| License | Apache-2.0 |
| Quality Score | 71.9713144506344/100 |
| Open Issues | 19 |
| Last Updated | 2026-03-25 |
| Created | 2025-11-25 |
| Platforms | python |
| Est. Tokens | ~1177k |
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ToolOrchestra is ToolOrchestra is an end-to-end RL training framework for orchestrating tools and agentic workflows.. It is categorized as a AI 工具 with 766 GitHub stars.
ToolOrchestra is primarily written in Python. It covers topics such as agent, agentic-ai, deep-learning.
You can find installation instructions and usage details in the ToolOrchestra GitHub repository at github.com/NVlabs/ToolOrchestra. The project has 766 stars and 109 forks, indicating an active community.
ToolOrchestra is released under the Apache-2.0 license, making it free to use and modify according to the license terms.