使用FAROS运行蓝图驱动的研究工作流
Bind a research profile to a FAROS blueprint and execute an AutoResearch chain from idea generation through experiment scaffolding, paper drafting, and reviewer simulation.
Prerequisites
Python 3.11+, Node.js 18+, FAROS backend and frontend dependencies, configured LLM/provider credentials for the selected research profile
Installation
Requirements and caveats from upstream:
- <img src="https://img.shields.io/badge/Python-3.11%2B-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="Python 3.11+">
- <img src="https://img.shields.io/badge/Node.js-18%2B-339933?style=for-the-badge&logo=node.js&logoColor=white" alt="Node 18+">
- Python 3.11+ or 3.12
Basic usage or getting-started notes:
- <a href="#-quick-start">Quick Start</a> ·
- File-backed run, event, artifact, and memory persistence
- <tr><td>Plan-mode FAROS run creation</td><td>Stable release baseline</td></tr>
- Source: https://github.com/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/OpenNSWM-Lab/FAROS/HEAD/README.md
Documentation
- https://github.com/1991513ccie-png/skills
