Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.
An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
A virtual environment for developing and evaluating automated scientific discovery agents.
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
Source code for <Large language models surpass human experts in predicting neuroscience results>
PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration
Idea-Catalyst is a metacognition-driven framework for helping humans and LLMs boost their creativity during the scientific brainstorming process.
A curated guide for LLM-agent-driven scientific research automation — from getting started to the frontier.
[ICLR 2026] LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
Source code for <Large language models surpass human experts in predicting neuroscience results>
A comprehensive research platform for Physics-Informed Neural Networks (PINNs) featuring 10+ applications including forward/inverse problems, data assimilation, and scientific discovery with interactive web interface.
How do you train retrievers to find inspirations? [ACL 2025]
Official implementation of the paper "CHIMERA: A Knowledge Base of Idea Recombination in Scientific Literature"
An AlphaEvolve-inspired project using evolutionary symbolic regression to automatically discover mathematical laws governing global carbon intensity from real-world energy data.
IRIS Gate Protocol: Cross-architecture phenomenological convergence research (RFC v0.2)
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