by NVlabs · Agent Tool · ★ 687
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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, <a href="https://developer.nvi
| Stars | 687 |
| Forks | 94 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 44.6/100 |
| Open Issues | 16 |
| 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 Agent Tool with 687 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 687 stars and 94 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.
The top alternatives to ToolOrchestra on Agent Skills Hub include prompttools, paperdebugger, tuui. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.