# aiming-lab/AutoResearchClaw

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

Repository: https://github.com/aiming-lab/AutoResearchClaw
Canonical: https://ross.abutalabs.com/products/autoresearchclaw
Language: Python
License: MIT
License Family: permissive
Topics: autonomous-research, citation-verification, llm-agents, multi-agent-debate, openclaw, paper-generation, scientific-discovery, self-evolving, metaclaw
Last push: 2026-08-19T03:35:13+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 98, release rhythm 84, longevity 12
- inputs: {"age_days": 171, "days_push": 14, "days_rel": 105, "gap_med": 2.5, "n_releases_24m": 7}
- flags: young
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 14249, forks 1658 (observed 2026-08-28T04:11:06.605767+00:00)

## What it is
AutoResearchClaw is a Python framework for fully autonomous, self-evolving research that takes an idea from chat to a generated paper using multi-agent LLM pipelines with citation verification. It integrates with OpenClaw and supports human-AI collaboration via a co-pilot mode.

## Use cases
- generate a research paper from a one-line idea
- run autonomous multi-agent research pipelines
- verify citations in AI-generated papers
- automate literature review and experiment write-ups
- explore self-evolving AI research agents
- collaborate with AI as a co-pilot on academic writing

## When to choose
- you want end-to-end automation from research idea to paper draft
- you need multi-agent debate and citation verification in generated content
- you want an OpenClaw-compatible autonomous research agent

## When to avoid
- you need guaranteed factual accuracy of AI-generated research claims
- you require peer-review-quality output without human oversight
- you need a lightweight tool without LLM API dependencies

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, llm-inference, rag, prompt-engineering, nlp, workflow-automation
- domain: artificial-intelligence, large-language-models, education
- platform: python, cli, cross-platform
- tags: autonomous-research, paper-generation, multi-agent-debate, citation-verification, self-evolving, scientific-discovery, openclaw, llm-agents, ai-agents, natural-language-processing, automation

## Member repositories
- aiming-lab/AutoResearchClaw (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:06.605767+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 2026-08-29T17:12:41.954919+00:00, confidence not recorded.
  - readme: https://github.com/aiming-lab/AutoResearchClaw (fetched 2026-08-28T04:11:06.605767+00:00, sha ea8e34786dd8)
- Data as of 2026-08-30T08:39:29.467469+00:00.