The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Build your own Cowork, AI Scientist and other SoTA Agents just by editing config files. Support anthropic skills. An infinite-horizon agent framework designed for long-running, complex tasks.

Open AI data scientist agent that automates complex data analysis tasks using the ReAct framework. Execute Python code locally or in the cloud, upload datasets, and generate detailed analytical reports with minimal setup.

One file. Your AI agent becomes a scientist. 30+ experiments while you sleep.

BioAgents: An AI scientist framework for autonomous deep research in biological sciences. Multi-agent system combining literature analysis agents with data scientist agents to enable deep research automation through user feedback integration and iterative scientific discovery. Inspired by advances in Edison Kosmos, Sakana AI, K-Dense and others.

[EMNLP '25] A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic materials scientist powered by @materialsproject, @langchain-ai, and @openai https://aclanthology.org/2025.emnlp-main.1280/

No description available

Autonomous Generalist Scientist / AI Scientist / Agent Scientist / Robot Scientist, across all Scientific Fields.across all Scientific Fields.

Autoresearch with PhD-level workflows and modular agent skills. Built for the autonomous AI Scientist.

[ICLR 2026] SR-Scientist: Scientific Equation Discovery With Agentic AI

AI Co-Scientist is a comprehensive multi-agent AI system designed for scientific research and hypothesis generation.

Autonomous AI scientist that writes, runs, and improves its own multi-agent workflows. Powered by MCP tool discovery and Darwinian self-evolution.

Open Coscientist is an open-source adaptation based on Google Research's AI Co-Scientist research paper. We provide an open implementation that generates, reviews, ranks, and evolves research hypotheses using the multi-agent architecture described.

An agentic AI assistant designed for scientists, researchers, and students who want to find and understand academic literature without getting lost in hundreds of papers

MAGI — A Claude Code plugin for multi-perspective analysis inspired by Evangelion's MAGI supercomputers. Three AI agents (Melchior, Balthasar, Caspar) independently evaluate code, designs, and decisions from scientist, pragmatist, and adversarial lenses, then synthesize verdicts via weight-based consensus voting.

An UI for the paper: The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Meta-Agentic Ai Orchestration Platform For Developers and Data Scientists Developing Full-Cycle(E2E) AI Projects

LLM orchestration, AI-native framework, Tree-of-Thought, agentic workflows, dual-scientist debate, reproducible R&D, SBOM, provenance, continuous evaluation, risk tiers, Spark Structured Streaming, Delta Lake, MLOps, evaluation gates.

AI-Scientist is a playground to build accessible agents for automated research to drive meaningful scientific progress that can benefit the society

Data scientist lab run in Google Colab or locally in Anaconda using JupyterLab to experiment in creating AI agents in python using various Open Source and Frontier LLM models. Projects include RAG, inference, function calling and multi-modal techniques.

Over the next month, we will implement the comprehensive paper retrieval and organization system to make this AI-Scientist agent project more concrete.

An autonomous multi-agent AI system that performs a full data science lifecycle, from data ingestion and cleaning to visualization and reporting, using CrewAI and Google Gemini.

BioAgent is a curated repository dedicated to tracking, analyzing, and reviewing cutting-edge AI Agents and tools that are revolutionizing biomedical research. We focus on tools that move beyond simple data processing to become autonomous "AI Research Assistants" or "AI Scientists."

A Multi-Agent AI pipeline that autonomously explores, analyzes, and reports on any dataset. It features agents like Data Scientist, Python Expert, Data Analyst, and Customer Engineer. Built with LangGraph and LangChain for multi-agent flow, and uses RAG to minimize context length and improve response efficiency.

Two-agent ESG analytics system: natural-language queries over real sustainability data, automated PDF reporting, and per-query carbon footprint tracking. Built by a Data Scientist & Sustainability Specialist combining domain expertise with AI-assisted development.

No description available

Multi-Agentic RAG-based AI Research Scientist building intelligent systems that combine multi-agent architectures with retrieval-augmented generation. Focused on LLMs, vector databases, reasoning agents, and scalable AI pipelines to deliver accurate, context-aware solutions for complex real-world problems.

An Agentic AI Engine & Workbench for Data Scientists

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

AI Scientist Skills — The complete AI-Scientist-v2 research pipeline reimplemented as a Claude Code skills package, one agent does it all. 将 AI-Scientist-v2 完整科研流程重写为 Claude Code 技能包，单一代理完成从创意到论文的全部工作。