by mangopy · Agent Tool · ★ 191
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Official Repo for WWW 2025 paper "Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents"
| Stars | 191 |
| Forks | 2 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 42.2/100 |
| Open Issues | 2 |
| Last Updated | 2025-04-08 |
| Created | 2024-12-06 |
| Platforms | python |
| Est. Tokens | ~547k |
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AutoTools is Official Repo for WWW 2025 paper "Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents". It is categorized as a Agent Tool with 191 GitHub stars.
AutoTools is primarily written in Python. It covers topics such as agent, large-language-models.
You can find installation instructions and usage details in the AutoTools GitHub repository at github.com/mangopy/AutoTools. The project has 191 stars and 2 forks, indicating an active community.
AutoTools is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to AutoTools on Agent Skills Hub include ToolOrchestra, bigcodebench, LLM-Tool-Survey. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.