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What is awesome-vibe-research?

modelscope/awesome-vibe-research — explained in plain English

Analysis updated 2026-05-18

17Audience · researcherComplexity · 1/5Setup · easy

In one sentence

A curated, community-maintained list of AI tools and agents that help with every stage of academic research, from ideas to publication.

Mindmap

mindmap
  root((awesome vibe research))
    What it does
      Curates AI research tools
      Covers full research lifecycle
      Community maintained
    Tech stack
      Curated link list
      No single codebase
    Use cases
      Find literature review tools
      Find automated research agents
      Contribute new entries
    Audience
      Researchers
      AI practitioners
    Setup
      Browse the README tables
      Follow links to each tool
      Submit contributions via README

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Discover AI tools for a specific research stage, like literature review or figure generation.

USE CASE 2

Find fully automated research agents such as AI-Scientist or STORM.

USE CASE 3

Contribute a new tool entry to the list for a research stage you know well.

How does it compare?

modelscope/awesome-vibe-research0petru/sentimo0xblackash/cve-2026-46333
Stars171717
LanguagePythonC
Setup difficultyeasymoderatemoderate
Complexity1/53/54/5
Audienceresearcherdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

This is a reference list, not installable software, each linked project has its own setup requirements.

So what is it?

Awesome Vibe Research is a collaboratively maintained list of AI tools, agents, skills, and workflows built to assist with scientific research. It is organized and hosted by ModelScope, a Chinese AI platform, and is primarily documented in Chinese with English terms used throughout for tool names and categories. The list covers the full lifecycle of an academic research project, broken into nine stages. These include: scanning for new ideas and defining research questions, searching and reading the literature, designing experiments, running and analyzing experiments, creating figures and visualizations, writing and editing papers, packaging results for others to reproduce, and tracking how published work spreads and is cited. Each stage has a table of relevant open-source projects with descriptions, star counts, and links to the code or live demos. The tools listed range from fully automated multi-agent systems (systems where AI agents work through the research process with minimal human input) to single-purpose skills (focused tools that do one specific task, such as generating publication-quality figures or verifying citations). Some of the more prominent entries include AI-Scientist (a well-known project from Sakana AI that can generate and review its own research papers), STORM (a Stanford system for generating long-form referenced reports), and RD-Agent (a Microsoft tool for automating data and model experimentation). The repository is intended to grow through community contributions. Readers are invited to add entries directly to the relevant table in the README when they find tools that belong in a given stage. The project grew out of a talk series called "Doing Research Together with Agents" and aims to consolidate practical knowledge from practitioners, users, and open-source communities into one maintained reference.

Copy-paste prompts

Prompt 1
What tools does this list recommend for automating literature review?
Prompt 2
Explain the difference between a multi-agent research system and a single-purpose research skill.
Prompt 3
Which entries in this list help with generating publication-quality figures?
Prompt 4
How do I contribute a new tool to this list's tables?

Frequently asked questions

What is awesome-vibe-research?

A curated, community-maintained list of AI tools and agents that help with every stage of academic research, from ideas to publication.

How hard is awesome-vibe-research to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is awesome-vibe-research for?

Mainly researcher.

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