Ross ROSS = Recommend OSS · open-source software intelligence for agents

HKUDS/AI-Researcher

[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat observed · 2026-08-28

github.com/HKUDS/AI-Researcher · homepage · Python observed · 2026-08-28

Health v2 · maintenance only

41/100

  • Activity 47
  • Release rhythm 35
  • Longevity 38

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 540
  • days_rel: n/a
  • days_push: 321
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

5701 stars · 721 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

AI-Researcher is an autonomous research system that orchestrates the full scientific research pipeline—from literature review and hypothesis generation to algorithm implementation and manuscript preparation—using LLM-powered agents. It accepts research ideas or reference papers and produces implementation code and publication-ready drafts with minimal human intervention.

Use cases

  • automate end-to-end AI research from idea to paper
  • generate research paper drafts from a research idea
  • automatically implement algorithms described in reference papers
  • run literature reviews and hypothesis generation with AI agents
  • benchmark autonomous research systems with Scientist-Bench
  • accelerate scientific experimentation with LLM agents

When to choose

  • you want to automate or accelerate AI research workflows
  • you need an open-source autonomous research agent framework
  • you want to reproduce or extend published autonomous-research benchmarks

When to avoid

  • you need a permissively licensed project (no license is provided)
  • you require fully verified, human-quality research output without review
  • you need a lightweight tool rather than a heavy multi-agent LLM pipeline

Facets

framework · maturity active

agent-framework llm-inference machine-learning workflow-automation data-science artificial-intelligence large-language-models data-science python self-hosted autonomous-research scientific-discovery llm-agents paper-writing literature-review neurips-2025 ai-agents automation docker

6 sources

Member repositories

RepositoryRoleHealth v2
HKUDS/AI-Researchermain41

For agents

markdown · JSON · MCP: product_card(name="HKUDS/AI-Researcher")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem