MatClaw Agent tools and skills for autonomous materials research MatClaw is a library of specialized tools and skills designed for AI agents working in computational materials discovery. It provides capabilities across the full materials research lifecycle—from candidate generation and simulation to active learning and experiment planning. Architecture MatClaw follows a layered architecture: Tools are implemented within the MCP server and provide atomic operations. Skills are agent workflows that call multiple tools through the MCP protocol to accomplish complex research tasks.
| Stars | 6 |
| Forks | 1 |
| Language | Python |
| Category | AI 工具 |
| License | AGPL-3.0 |
| Quality Score | 28.75/100 |
| Last Updated | 2026-04-10 |
| Created | 2026-03-13 |
| Platforms | python |
| Est. Tokens | ~315k |
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MatClaw is MatClaw is a tool and skill library for AI agents in the domain of materials research.. It is categorized as a AI 工具 with 6 GitHub stars.
MatClaw is primarily written in Python.
You can find installation instructions and usage details in the MatClaw GitHub repository at github.com/VCERS/MatClaw. The project has 6 stars and 1 forks, indicating an active community.
MatClaw is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.