# handsome-rich/Awesome-Auto-Research-Tools

A curated collection of automated research tools, covering literature search, paper reading, experiment management, and code generation to help researchers accelerate their workflow.

Repository: https://github.com/handsome-rich/Awesome-Auto-Research-Tools
Canonical: https://ross.abutalabs.com/products/awesome-auto-research-tools
Language: Python
License: CC0-1.0
License Family: permissive
Last push: 2026-08-24T10:06:37+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 35, longevity 12
- inputs: {"age_days": 170, "days_push": 9, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1164, forks 90 (observed 2026-08-28T04:03:49.790771+00:00)

## What it is
A curated awesome-list of open-source projects that automate scientific research, spanning autonomous research systems, deep literature synthesis, experimentation, and academic writing. It catalogs tools with star counts, supported LLM APIs, and framework details to help researchers pick automation tooling.

## Use cases
- find tools to automate literature reviews
- discover AI systems that run experiments end to end
- compare autonomous research agents like AI-Scientist and RD-Agent
- find tools for automated paper writing and peer review
- locate open-source research automation projects by LLM provider support
- accelerate my research workflow with AI agents

## When to choose
- you want a curated overview of the automated-research tooling landscape
- you are evaluating which autonomous research system fits your LLM provider
- you need a starting point for building AI-assisted research pipelines

## When to avoid
- you need a runnable tool rather than a list of links
- you need guaranteed up-to-date star counts or maintenance status
- you want deep reviews or benchmarks of each listed project

## Facets
- artifact type: learning-resource
- maturity: active
- function: agent-framework, llm-inference, rag, developer-tools
- domain: artificial-intelligence, large-language-models, awesome-lists, education, developer-tools
- platform: python, cross-platform
- tags: awesome-list, automated-research, ai-scientist, literature-review, academic-writing, curated-list, ai-agents

## Member repositories
- handsome-rich/Awesome-Auto-Research-Tools (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:49.790771+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:29:40.471174+00:00, confidence not recorded.
  - readme: https://github.com/handsome-rich/Awesome-Auto-Research-Tools (fetched 2026-08-28T04:03:49.790771+00:00, sha 71a12266e03a)
- Data as of 2026-08-30T08:39:29.467469+00:00.