AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk.
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Updated
Apr 9, 2026 - Python
AI handles execution, humans own the direction, and every run becomes an inspectable research artifact on disk.
ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery
Autoresearch with PhD-level workflows and modular agent skills. Built for the autonomous AI Scientist.
De-Anthropocentric Research Engine — AI-powered academic research automation with deep literature survey, gap analysis, idea generation, experiment design & execution. Combines iterative deep research, adversarial debate, evolutionary generation, and distributed GPU execution.
karpathy auto research ported to mlx so you can use your Mac
Lite research agents on proposal, experiment and review
Enhance academic workflows by auditing papers, verifying citations, and analyzing experiments with a research integrity plugin for Claude Code.
Bio-Autoresearch: Karpathy-Style Autoresearch for Rare Disease Drug Discovery
Run your own research lab that never sleeps
Auto-research ideas
General-purpose autonomous research framework for AI agents. Inspired by Andrej Karpathy's autoresearch.
LISFLOOD-FP implementation of model-agnostic self-calibrating loop. Inspired by AutoResearch
Optimize AI agents autonomously by iterating code changes and evals to improve performance using LangSmith observability and automated experiments.
Measure AI agents’ performance with standardized tests across 314 tasks, 33 domains, and 4 difficulty levels for clear, reproducible comparison.
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