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
:memo: An awesome Data Science repository to learn and apply for real world problems.
๐ Python-powered shell. Full-featured, cross-platform and AI-friendly.
:microscope: A Ruby library for carefully refactoring critical paths.
PaperBanana: Automating Academic Illustration For AI Scientists
๐ฌ Harness Vibe Research with Self-evolving AI Scientists
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.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
ใใผใฟใตใคใจใณใน100ๆฌใใใฏ๏ผๆง้ ๅใใผใฟๅ ๅทฅ็ทจ๏ผ
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
An AI co-scientist running on your desktop. Claude Science but better.
AgentSociety 2 is a modern, LLM-native agent simulation platform designed for social science research and experimental design. It provides a flexible framework for creating and managing intelligent agents in simulated environments.
๐ฆ+๐ฌ NanoResearch: The Autonomous AI Research Assistant
turtles, patches, and links for kids, teachers, and scientists
An emacs starterkit for scientists and engineers
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.
The book every data scientist needs on their desk.
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
Open Machine Learning
Kubeflowโs superfood for Data Scientists
Research Artifact Protocol for Rigorous and Trustworthy AI Scientists
Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components.
Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824
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 robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [BETA]
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
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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.
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 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 bioinformatics agent desktop for clinicians and wet-lab scientists โ built on DeepSeek Harness. One-click installers, a skill store, offline mode.
Native Claude Code, Codex and Pi adaptations of IdeaScientist for automatic, evidence-grounded research ideation.
DrugTargetWorld: a synthetic biobank for training and benchmarking AI scientists on end-to-end drug target discovery. Paper: arXiv:2610.09558
SearchJev: a fast and calibrated System-1 model for search agents (training code)
Local-first macOS creator analytics for Douyin, Xiaohongshu, Bilibili and Kuaishou, with Excel export and optional Feishu sync.
[Pattern Recognition 2026] Generative Representation Learning with Information Disentanglement and Global Alignment for Infrared and Visible Image Fusion
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