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.
Autonomous systems that cover the full research lifecycle from ideation through experimentation 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
- Workshop-level automated scientific discovery via agentic tree search; builds on AI-Scientist with improved experimental control.
- AgentLaboratory
- End-to-end autonomous research workflow using LLM agents to assist with literature reviews, experiments, and report writing.
- AI-Researcher
- Autonomous scientific innovation system with dedicated research and paper agents for idea generation, experiment execution, and paper writing.
- 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.
- Curie
- AI-agent framework for automated and rigorous scientific experimentation with end-to-end automation from hypothesis formulation to result interpretation.
- 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.
- 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.
- Virtual-Scientists
- ACL 2025 project featuring many-heads multi-agent scientific idea generation for diverse hypothesis exploration.
Research-focused agents for iterative retrieval, synthesis, and report generation on complex questions.
- open_deep_research
- Fully open-source deep research agent with multi-model support, multi-search API, MCP integration, and built-in report generation.
- DeepResearch
- Tongyi Deep Research — iterative retrieval-augmented research agent for complex multi-hop questions.
Tools that automate experiment execution, data workflows, and closed-loop empirical research pipelines.
- 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.
- Simply
- Minimal JAX research codebase by Google DeepMind designed for agents to read code, propose ideas, run experiments, and iterate.
Frameworks and skill collections that support scientific writing, reasoning, and reusable research capabilities.
- claude-scientific-skills
- Comprehensive collection of 140 ready-to-use scientific skills for Claude across biology, chemistry, medicine, and more.
- claude-scientific-writer
- AI-powered scientific writing assistant for automated research paper generation and technical documentation.
- autoresearch-skill
- Cross-platform LLM skill set (Claude Code/Codex/Gemini) that runs experiment-evaluate-iterate autoresearch loops from natural-language goals.
- Researcher
- AI-powered research assistant for automated research workflows.
Educational resources for learning autonomous research concepts, tools, and practical workflows.
- learn-auto-research
- Educational repository for learning and practicing autonomous research workflows.
Integrated platforms that host AI agents for collaborative research, publishing, and scientific workflows.
- aiXiv
- Multi-agent preprint server for human, AI and robot scientists with dual-track review and auto-agents ecosystem.
Benchmarks and evaluation suites for measuring capabilities of autonomous research agents across tasks.
- aira-dojo
- Meta FAIR's extensible AI research agent development and evaluation framework with isolated code execution.
- AIRS-Bench
- Benchmark by Meta FAIR for quantifying end-to-end AI research abilities of LLM agents.
- 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.
Agent-native research tools built on or inspired by the OpenClaw framework, covering research platforms, IDEs, skill libraries, and multi-agent research pipelines.
OpenClaw-based platforms and IDE experiences for end-to-end scientific workflows and agent orchestration.
- 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.
- PaperClaw
- OpenClaw skill for generating topic-specific expert agents for paper search, review, and critique workflows.
- 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
- Local-first Research OS by ymx10086 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.
- Scientify
- Continuous-metabolism research system that tracks papers, evolves hypotheses, runs validation experiments, and proactively pushes updates.
Reusable OpenClaw skill ecosystems for domain expertise, automation, and tool augmentation.
- 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.
- SkillNet
- Skill creation, evaluation, connection, and discovery infrastructure that searches 300k+ community skills.
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.
- DeepScientist - AI platform for accelerating scientific research and discovery.
- Edison Scientific - Autonomous AI scientist for end-to-end research automation.
- FutureHouse - AI platform building autonomous systems to accelerate scientific discovery.
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.
Commercial platforms for paper understanding, review workflows, and research knowledge management.
- 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.
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.
Contributions are welcome! Please feel free to submit a pull request to add more AutoResearch tools to this awesome list.