The open-source AI workbench for scientific research
Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.
PaperBanana: Automating Academic Illustration For AI Scientists
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 paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
MCP, CLI, Skills for searching and downloading academic papers from multiple sources like arXiv, PubMed, bioRxiv, etc.
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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.
:memo: An awesome Data Science repository to learn and apply for real world problems.
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师,自动分析大量数据,一键生成专业分析报告!
🐚 Python-powered shell. Full-featured, cross-platform and AI-friendly.
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
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.
Best Data Science, Data Analytics, AI, and SDE roadmaps. This repository is continually updated based on the top job postings on LinkedIn and Indeed in the data science and AI domain.
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.
🔥 A Survey on AI Auto-Research
Native Claude Code, Codex and Pi adaptations of IdeaScientist for automatic, evidence-grounded research ideation.
Democratizing AI scientists with ToolUniverse
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
:microscope: A Ruby library for carefully refactoring critical paths.
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
The bioinformatics agent desktop for clinicians and wet-lab scientists — built on DeepSeek Harness. One-click installers, a skill store, offline mode.
turtles, patches, and links for kids, teachers, and scientists
Open Machine Learning
Kubeflow’s superfood for Data Scientists
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]
Toward Autonomous Scientific Discovery
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.
Autoresearch agents that improve your benchmark: independent re-measurement, enforced budgets, results as pull requests
データサイエンス100本ノック(構造化データ加工編)
An emacs starterkit for scientists and engineers
The book every data scientist needs on their desk.
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.
Give an AI a research direction: it runs literature synthesis, gap validation, hypothesis formation and experiment design itself. 267 markdown skills form a research graph: 51 operations built from 216 atomic steps, any order, explicit backtracking; the plan is approved before it runs and interrupted runs resume. npx install, no runtime, no API key
An Omni-Modal, Omni-Discipline AI Scientist
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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🦞+🔬 NanoResearch: The Autonomous AI Research Assistant
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
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.
🔬 Harness Vibe Research with Self-evolving AI Scientists