Awesome AutoResearch

A curated list of AutoResearch tools and frameworks that can autonomously conduct research, design experiments, analyze data, write papers, and generate scientific discoveries.

AutoResearch represents a new paradigm in scientific discovery where AI systems can perform the complete research lifecycle - from hypothesis generation to peer review - with minimal or no human intervention. These systems leverage large language models and multi-agent frameworks to accelerate scientific progress across multiple domains.

Open-source Research Agents & Tools

Projects are grouped by their primary function in the research workflow. Ecosystem-specific repos such as OpenClaw tools are folded into the same functional taxonomy instead of being split into a separate section.

Benchmarks & Evaluation

Benchmarks and evaluation suites for measuring capabilities of autonomous research agents across tasks.

• AIRS-Bench - Benchmark by Meta FAIR for quantifying end-to-end AI research abilities of LLM agents.
• BixBench - Benchmark for LLM-based agents on verifiable computational biology and bioinformatics tasks.
• DeepResearch Bench - Comprehensive benchmark and leaderboard for evaluating deep research agents.
• MLGym - Unified framework and benchmark by Meta FAIR for developing and evaluating AI research agents across ML tasks.
• ScholarEval - Literature-grounded framework for evaluating research ideas with multi-dimensional quality criteria.
• scienceboard - VM-based benchmark for evaluating multimodal autonomous agents on realistic scientific workflows.

Deep Research Agents

Research-focused agents for iterative retrieval, synthesis, and report generation on complex questions.

• Auto-Deep-Research - Open-source, cost-efficient alternative to OpenAI's Deep Research with universal LLM compatibility and strong GAIA Benchmark results.
• DeerFlow - ByteDance's deep research workflow agent combining web search, code execution, and multi-step reasoning for complex research tasks.
• DeepResearch - Tongyi Deep Research — iterative retrieval-augmented research agent for complex multi-hop questions.
• DeepResearchAgent - Skywork AI's deep research agent for thorough multi-source web research and report synthesis.
• GPT Researcher - Autonomous agent that conducts deep online research on any topic, producing detailed, factual reports with citations.
• local-deep-research - Local-first deep research agent reaching ~95% on SimpleQA with local LLMs, integrating arXiv, PubMed, Semantic Scholar, Wikipedia, and 10+ sources with encrypted storage.
• Open Deep Research - Fully open-source deep research agent with multi-model support, multi-search API, MCP integration, and built-in report generation.
• OpenResearcher - Fully open training and inference pipeline for long-horizon deep research, releasing a 30B-A3B model that surpasses GPT-4.1 and Claude Opus 4 on BrowseComp-Plus.

Literature Synthesis & QA

Tools focused on grounded question answering and literature synthesis over scientific sources.

• OpenScholar - Retrieval-augmented language model that synthesizes scientific literature by grounding responses in relevant paper evidence.
• PaperQA2 - High-accuracy retrieval-augmented QA over scientific PDFs, demonstrating superhuman synthesis of scientific knowledge.
• STORM - Stanford system for synthesizing Wikipedia-style long-form articles through multi-perspective question asking and retrieval.

Paper Discovery & Monitoring

Tools for surfacing, recommending, and tracking new papers.

• daily-paper-reader - Daily arXiv/OpenReview paper recommendation and AI reading platform with GitHub Actions automation and GitHub Pages deployment.
• PaperVault - Auto-updating paper metadata database and web search platform covering top venues across major computer science fields.
• zotero-arxiv-daily - Daily arXiv recommender that matches new papers to your Zotero library and sends personalized recommendations.

Paper Reading, Annotation & Review

Tools for paper summarization, grounded reading, annotation, and review workflows.

• ChatPaper - Uses ChatGPT to summarize arXiv papers, with professional translation, paper polishing, peer review analysis, and reviewer response generation.
• ChatReviewer - Uses ChatGPT to analyze paper strengths/weaknesses, provide improvement suggestions, and auto-generate reviewer responses.
• FactReview - Evidence-grounded ML paper review system that tags claim verdicts, positions literature, and supports execution-based verification.
• OpenAIReview - LLM-assisted paper review toolkit that generates detailed draft feedback with multi-engine PDF extraction.
• openpaper - Research paper reading and annotation workspace with an AI copilot for grounded Q&A over personal libraries.
• paper_online - AI-driven paper insight and intelligent analysis platform for quickly screening academic papers.

End-to-End Autonomous Research Systems

Autonomous systems that cover the full research lifecycle from ideation through experimentation and synthesis.

• AgentLaboratory - End-to-end autonomous research workflow using LLM agents to assist with literature reviews, experiments, and report writing.
• Agon - Claude Code plugin for topic-to-idea-to-proposal-to-experiment research loops.
• AI-Researcher - Autonomous scientific innovation system with dedicated research and paper agents for idea generation, experiment execution, and paper writing.
• AI-Scientist - First comprehensive system for fully automatic scientific discovery, enabling LLMs to autonomously generate ideas, run experiments, and write papers.
• AI-Scientist-v2 - An autonomous AI research agent that employs agentic tree search for workshop-level scientific discovery, extending AI-Scientist with stronger experimental control and iterative hypothesis refinement.
• ARIS - Lightweight Markdown-only research workflow with cross-model review loops, idea discovery, and experiment automation.
• auto-research - Autonomous generalist scientist framework for fully automated research agents from literature reviews to experiments and writing.
• autoresearch - Karpathy's autonomous overnight research loop where agents iteratively edit/train/evaluate a compact LLM setup under a fixed 5-minute experiment budget.
• AutoResearchClaw - Fully autonomous & self-evolving research from idea to paper using a multi-agent debate pipeline with self-healing and citation verification.
• Biomni - Stanford's general-purpose biomedical AI agent that autonomously executes research tasks across biology and medicine, combining LLM reasoning, retrieval, and tool/code use.
• claude-scholar - Semi-automated academic research assistant covering ideation → coding → experiments → writing → publication using Claude Code or Codex CLI.
• Curie - AI-agent framework for automated and rigorous scientific experimentation with end-to-end automation from hypothesis formulation to result interpretation.
• DATAGEN - AI-driven multi-agent research assistant automating hypothesis generation, data analysis, visualization, and report writing via LangChain and LangGraph.
• DeepScientist - Local-first autonomous research studio with Findings Memory and Bayesian optimization orchestrating baseline reproduction → branched experiments → LaTeX paper drafts.
• EvoScientist - Self-evolving AI Scientists with a six-agent team and persistent memory for autonomous iterative research exploration.
• InternAgent - Shanghai AI Lab's unified agentic framework for long-horizon autonomous discovery across physics, biology, earth, and life sciences.
• nano-scientist - Budget-driven autonomous research agent that turns a topic into a technical report with a plan-execute-review loop and PDF output pipeline.
• NanoResearch - Lightweight end-to-end research automation agent with minimal setup requirements.
• nanoresearch - Tri-level co-evolving multi-agent research automation system with chat-style interaction and field-agnostic workflows.
• OmniScientist - AI Scientist ecosystem covering idea generation, experiment design, and paper writing as a holistic blueprint for autonomous research.
• pi-autoresearch - Extension for the pi agent that enables autonomous experiment loops to benchmark ideas, keep improvements, and revert regressions.
• QUIT - Human-in-the-loop research automation platform with an artifact-driven Query-Understand-Implement-Tell pipeline and optional end-to-end mode.
• Researcher - AI-powered research assistant for automated research workflows.
• Robin - Multi-agent system by FutureHouse for automating scientific discovery, demonstrated on real-world biomedical research tasks (Nature 2026).
• Virtual Lab - AI agent team that autonomously designs novel SARS-CoV-2 nanobodies, demonstrating end-to-end wet-lab-integrated scientific discovery.
• Virtual-Scientists - ACL 2025 project featuring many-heads multi-agent scientific idea generation for diverse hypothesis exploration.
• Writing-Driven Autoresearch - Multi-agent harness that keeps a submittable paper from minute zero and drives every experiment from the claims in that draft; 1st place at the Ralphthon@ICML 2026 autonomous-research hackathon.

Research Platforms & IDEs

Integrated workspaces, research operating systems, and agent-native interfaces for day-to-day scientific workflows.

• aiXiv - Multi-agent preprint server for human, AI and robot scientists with dual-track review and auto-agents ecosystem.
• AutoSci - Agentic AI research platform that automates the full pipeline from paper ingestion and knowledge management to manuscript drafting.
• Dr. Claw - AI research IDE with 100+ skills, structured dashboard (Survey → Ideation → Experiment → Publication), auto-research one-click execution, and multi-agent support.
• openclaw-agents - One-command setup for 9 specialized research agents with Paper Pipeline, Brainstorm, Daily Digest, and Rebuttal workflows built in.
• Prismer - End-to-end research platform with PDF reading, Jupyter, LaTeX, code execution, and citation verification.
• Research Claw - Self-hosted academic assistant by nanoAgentTeam for paper management, literature search, deadline tracking, and LaTeX/Overleaf sync.
• ResearchClaw (Noietch) - OpenClaw-based research assistant by Noietch with structured paper management and annotation workflows.
• ResearchClaw (ymx10086) - Local-first Research OS with claims/evidence graph, experiment tracking, paper management, skills, and multi-channel access.
• sciClaw - Paired-scientist agent (Go/PicoClaw runtime) with Telegram/Discord interface, PubMed integration, reproducible experiment logging, skill library, and multi-provider LLM support.
• ScienceClaw - Science-focused OpenClaw variant for structured scientific research workflows.
• Scientify - Continuous-metabolism research system that tracks papers, evolves hypotheses, runs validation experiments, and proactively pushes updates.

Experiment, Coding & Workflow Automation

Tools that act as the execution layer for experiments, data workflows, and research engineering loops.

• AIDE - An ML engineering agent that uses tree search to optimize training code against arbitrary evaluation metrics, achieving human-level performance on Kaggle and MLE-bench.
• agentic-data-scientist - Multi-agent framework for data science workflows with separated planning and execution phases.
• autora - Automated research assistant for closed-loop empirical research with autonomous experiment design and data analysis.
• AutoNumerics - Multi-agent pipeline that turns natural-language PDE problems into executable numerical solvers with residual-based verification.
• expflow - Experiment workflow orchestration toolkit with CLI-driven training, hyperparameter optimization, and observability integrations.
• MLE-agent - Intelligent companion for ML engineering and research integrating arXiv and Papers with Code for automated planning and debugging.
• RD-Agent - Microsoft's LLM-agent framework for autonomous R&D, covering data science, quant finance, and research-driven software development.
• Simply - Minimal JAX research codebase by Google DeepMind designed for agents to read code, propose ideas, run experiments, and iterate.

Figure, Visualization & Design Agents

Tools dedicated to creating publication-quality figures, diagrams, and visual assets.

• happy-figure-skill - Claude Code skill for generating publication-quality research figures with automated chart creation and styling.
• PaperBanana - Reference-driven multi-agent framework for automated academic illustration with 5 specialized agents producing publication-quality diagrams.

Scientific Writing & Publication

Tools focused on manuscript drafting, paper assembly, and submission-ready scientific writing.

• claude-scientific-writer - AI-powered scientific writing assistant for automated research paper generation and technical documentation.
• Idea2Paper - End-to-end pipeline that takes a research idea and autonomously generates a complete paper draft.
• PaperOrchestra - Multi-agent framework for automated research paper writing from raw ideas and experiment logs to submission-ready LaTeX drafts.

Skill Libraries & Extensions

Reusable skill packs, domain extensions, and capability libraries for research-focused agents.

• AI-Research-SKILLs - 86 skills across 22 categories covering the full AI research lifecycle: literature review, idea generation, experimentation, and paper authoring.
• autoresearch-skill - Cross-platform LLM skill set (Claude Code/Codex/Gemini) that runs experiment-evaluate-iterate autoresearch loops from natural-language goals.
• claude-scientific-skills - Comprehensive collection of 140 ready-to-use scientific skills for Claude across biology, chemistry, medicine, and more.
• distillation-skills - Claude Code academic research skill suite spanning deep research, paper writing, peer review, persona distillation, and domain knowledge frameworks.
• LabClaw - 240 OpenClaw skills for biology, pharmacology, medicine, literature, and visualization.
• OpenClaw-Medical-Skills - 869 medical/biomedical skills spanning clinical, genomics, and drug discovery domains.
• PaperClaw - OpenClaw skill for generating topic-specific expert agents for paper search, review, and critique workflows.
• scientific-agent-skills - 133 ready-to-use scientific skills across bioinformatics, drug discovery, clinical research, medical imaging, and materials science.

Agent Frameworks, Environments & Training

Core runtimes, training infrastructure, and agent-building environments for autoresearch systems.

• aira-dojo - Meta FAIR's extensible AI research agent development and evaluation framework with isolated code execution.
• aviary - Language-agent gym with challenging scientific tasks and research-oriented environments.
• Gym - NVIDIA NeMo environment library for evaluating and improving models/agents with multiple backend support.
• NVIDIA NeMo RL - Scalable RL toolkit for efficient model reinforcement, including GRPO and large-scale training workflows.
• tiny-scientist - Lightweight modular framework for building research agents with tool integration and controllable execution.

Surveys, Guides & Tutorials

Educational resources, surveys, and practical guides for learning autonomous research concepts and workflows.

• Autonomous-Agents - Daily-updated curated collection of research papers on autonomous LLM agents covering multi-agent systems, scientific computing, robotics, and more.
• awesome-ai-for-science - Curated list of AI tools, libraries, papers, datasets, and frameworks for scientific discovery across physics, chemistry, biology, and materials.
• awesome-autoresearch - Curated index of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
• Awesome-Deep-Research - Curated collection of deep research agents - industry products, open-source implementations, 70+ recent papers, and benchmarks through early 2026.
• learn-auto-research - Educational repository for learning and practicing autonomous research workflows.

Commercial Platforms

End-to-End Research Automation

Commercial systems focused on autonomous end-to-end scientific research execution and acceleration.

• Analemma - Fully autonomous research system for end-to-end scientific research automation.
• Co-Scientist - Google's AI co-scientist system for hypothesis generation, experimental design, and literature synthesis, demonstrated across multiple biomedical domains (Nature 2026).
• DeepScientist - AI platform for accelerating scientific research and discovery.
• Edison Scientific - Autonomous AI scientist platform (Kosmos) for end-to-end research automation.
• FutureHouse - AI platform building autonomous systems to accelerate scientific discovery.
• OpenResearch - AI research platform for autonomous scientific research workflows.
• Weco - Autonomous AI research agent for end-to-end AI research, recognized as the top contributor in OpenAI's Parameter Golf competition.

Literature Discovery & Synthesis

Commercial tools for discovering, searching, and synthesizing scientific literature at scale.

• AI Researcher - AI-powered research assistant for literature review and research synthesis.
• AiraXiv - AI research platform for automated paper discovery and analysis.
• Consensus - AI search engine that finds and summarizes scientific research papers.
• Elicit - AI research assistant that automates literature review workflows.

Paper Reading, Review & Knowledge Management

Commercial products for document understanding, paper review, and research knowledge workflows.

• IBM Watson Discovery - Enterprise AI platform for intelligent document understanding and search.
• paper2skills - AI-powered platform that converts research papers into actionable skills.
• PaperReview - AI-powered platform for automated paper review and feedback.
• SciSpace - AI copilot for research paper reading, writing, and understanding.

Self-driving Labs

Automated laboratory platforms and initiatives that integrate robotics, AI, and closed-loop experimentation.

• Acceleration Consortium - University of Toronto-led initiative advancing self-driving labs for materials acceleration and autonomous experimentation.
• Emerald Cloud Lab - Cloud-based robotic laboratory platform for programmable and remotely executed experiments.
• IBM RXN for Chemistry - AI platform for chemistry synthesis planning and autonomous lab workflow integration.
• Strateos - Remote robotic lab platform for automated experiment execution and high-throughput biology workflows.

Contributing

Contributions are welcome! Please feel free to submit a pull request to add more AutoResearch tools to this awesome list.