by ZIB-IOL · Codex Skill · ★ 52
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The Agentic Researcher A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning Paper · Quick Start · Workflow · Architecture · Citation Max Zimmer · Nico Pelleriti · Christophe Roux · Sebastian Pokutta IOL Lab · Zuse Institute Berlin & TU Berlin The Agentic Researcher launches AI coding agents inside sandboxed containers with filesystem isolation, GPU support, and structured research instructions. Supports Claude Code, OpenCode, Gemini CLI, and Codex CLI. Prerequisites Docker (default) or Apptainer (Linux only) An API key or OAuth login for your chosen CLI tool (see supported tools) GPU drivers installed on the ho
| Stars | 52 |
| Forks | 3 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 75.249310198222/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-02 |
| Created | 2026-03-04 |
| Platforms | claude-code, cli, codex, gemini |
| Est. Tokens | ~18k |
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The-Agentic-Researcher is A practical framework for AI-Assisted Research in Mathematics and Machine Learning. It is categorized as a Codex Skill with 52 GitHub stars.
The-Agentic-Researcher is primarily written in Shell. It covers topics such as agentic-ai, claude-code, codex-cli.
You can find installation instructions and usage details in the The-Agentic-Researcher GitHub repository at github.com/ZIB-IOL/The-Agentic-Researcher. The project has 52 stars and 3 forks, indicating an active community.
The-Agentic-Researcher is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to The-Agentic-Researcher on Agent Skills Hub include agent-skills, speckit-agent-skills, agentic-ai-roadmap. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.