Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery ๐งโ๐ฌ
DeepAnalyze is the first agentic LLM for autonomous data science. ๐ไฝ ็AIๆฐๆฎๅๆๅธ๏ผ่ชๅจๅๆๅคง้ๆฐๆฎ๏ผไธ้ฎ็ๆไธไธๅๆๆฅๅ๏ผ
The open-source AI workbench for scientific research
Intelligent Skill routing and workflow orchestration for AI agents โ +21.12 pp reward, โ29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.
Open Science Desktop โ local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.
Democratizing AI scientists with ToolUniverse
๐ฆ+๐ฌ NanoResearch: The Autonomous AI Research Assistant
Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
A multi-agent AUTO Research loop for idea discovery, experiment execution, evidence-grounded paper writing, quality audit, and live Web observation from AI group, CNIC, CAS.
๐ฅ A Survey on AI Auto-Research
A 267-skill research graph in pure markdown โ 51 research operations built from 216 single-purpose steps, composed in any order with explicit backtracking. One npx install, no runtime, no MCP bindings. The AI is the researcher; you set the direction.
The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery
FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paperโall in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
Toward Autonomous Scientific Discovery
An Omni-Modal, Omni-Discipline AI Scientist
๐งช Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
DrugTargetWorld: a synthetic biobank for training and benchmarking AI scientists on end-to-end drug target discovery. Paper: arXiv:2610.09558