NovelSeek is a unified, closed-loop multi-agent system designed to automate and accelerate innovative research across scientific domains. It empowers AI+X researchers to complete the full research loop—from hypothesis generation to experimental validation—with an end-to-end algorithmic innovation approach.

How It Works

NovelSeek employs a multi-agent orchestration system, coordinating specialized agents (e.g., Survey, Coding, Idea Innovation, Assessment) to manage data flow, task scheduling, and human interaction. Its core capabilities include self-evolving idea generation with human feedback, transforming ideas into actionable methodologies, and evolutionary experimental planning and execution, including exception-guided debugging. This collaborative, iterative approach aims to enhance research efficiency and creativity.

Quick Start & Requirements

• Install: Not specified in README.
• Prerequisites: Not specified in README.
• Links: Paper 📓, Website 🏠, Examples 🤗

Highlighted Details

• Supports 12 types of scientific research tasks, spanning AI and various science fields.
• Enables autonomous generation, selection, and evolution of research ideas.
• Automates complex experimental workflow planning, code implementation, and debugging.
• Facilitates rapid completion of the full research loop from idea to validation.

Maintenance & Community

• Contributors: NovelSeek Team, Bo Zhang, Shiyang Feng, Xiangchao Yan, Jiakang Yuan, Zhiyin Yu, Xiaohan He, Songtao Huang, Shaowei Hou, Zheng Nie, et al.
• Community: No links to Discord/Slack or social handles provided.

Licensing & Compatibility

• License: Not specified in README.
• Compatibility: No explicit notes on commercial use or closed-source linking.

Limitations & Caveats

The README does not specify installation instructions, prerequisites, or licensing details, which are crucial for evaluating adoption. The project is presented as a novel research system, implying it may be in an early stage of development or require significant setup expertise.