by HICAI-ZJU · AI Tool · ★ 391
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SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration 📌 Contents ⌚️ Overview 📦 Project Framework ⚡ Getting Started 🔧️ Installation 🚀 Quick Start 📊 Data Preparation 🛠️ Custom Tools 📜 SciToolEval 📝️ Cite 🆕 News [2024-12]: The SciToolAgent project is now available on GitHub. [2025-08]: Our research published in Nature Computational Science. ⌚️ Overview SciToolAgent is a powerful agent framework designed to integrate diverse scientific tools with large language models (LLMs) to address the limitations of existing systems in scientific research. By combining LLMs as Planners, Executors, and Summarizers with a comprehensive scientific tool knowledge graph (SciToolKG), SciToolAgent autonomously plans, executes, and summarizes workflows for solving complex scientific tasks across multiple domains. Key Features: 500+ Tools: Access to a vast array of tools, including web APIs, machine learning models, Python functions, knowledge databases, and custom tools for tasks in various scientific domains. SciToolKG: A comprehensive knowledge graph that models relationships among hundreds of scientific tools from biology, chemistry, and materials science.
| Stars | 391 |
| Forks | 58 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 29.2/100 |
| Open Issues | 8 |
| Last Updated | 2025-08-26 |
| Created | 2024-05-07 |
| Platforms | python |
| Est. Tokens | ~1271k |
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SciToolAgent is SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration. It is categorized as a AI Tool with 391 GitHub stars.
SciToolAgent is primarily written in Python.
You can find installation instructions and usage details in the SciToolAgent GitHub repository at github.com/HICAI-ZJU/SciToolAgent. The project has 391 stars and 58 forks, indicating an active community.
SciToolAgent is released under the MIT license, making it free to use and modify according to the license terms.
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