Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
ClearAI：以本体为纲的原生 DSH 插件 —— 经证据核验的研究长成可浏览的领域本体。 · ClearAI: an ontology-first DSH agent preset — evidence-checked research that grows into a domain ontology.
Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with grading, shared knowledge, and multi-agent evolution. Accepted at COLM 2026.
An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!
A 267-skill research graph in pure markdown — 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.
Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher.
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
A virtual environment for developing and evaluating automated scientific discovery agents.
The Station is an open-world multi-agent environment where AI agents pursue autonomous scientific discovery and build a shared literature.
An open research workbench for idea discovery, autonomous mathematics, and evidence-grounded rebuttals.
This is the official repository for HypoGeniC (Hypothesis Generation in Context) and HypoRefine, which are automated, data-driven tools that leverage large language models to generate hypothesis for open-domain research. For more details, please see the original paper using the link below.
[ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models
Turn ideas into autonomous research with Git-like evidence histories—inspectable, reproducible, and reversible.
🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.
Source code for <Large language models surpass human experts in predicting neuroscience results>
Idea-Catalyst is a metacognition-driven framework for helping humans and LLMs boost their creativity during the scientific brainstorming process.
To associate your repository with the scientific-discovery topic, visit your repo's landing page and select "manage topics."