Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
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Updated
Apr 30, 2026 - Shell
Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.
Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
Curated list of AutoResearch use cases with optimization traces and open source implementations
🦞+🔬: NanoResearch: The Autonomous AI Research Assistant
A plugin for Claude Code and Codex that turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.
CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch.
Scholar All-In-One: A research infrastructure for AI agents
Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code
One file. Your AI agent becomes a scientist. 30+ experiments while you sleep.
Autoresearch for LLM adversarial attacks
Autonomous Qwen3-VL training-code research on the official DocVQA benchmark. main: NVIDIA multi-GPU, mlx: Apple Silicon/MPS.
A self-improving loop for voice AI agents. Uses karpathy's autoresearch as foundation.
A plugin for your agentic framework that optimizes code using the GEPA algorithm (Genetic-Pareto LLM-driven search).
A curated list of awesome autonomous researcher frameworks
Run a Parallel Autonomous ML Research Organization on your OpenClaw instance.
An autonomous research agent that turns a topic into a peer-reviewed technical report
Add a description, image, and links to the autoresearch topic page so that developers can more easily learn about it.
To associate your repository with the autoresearch topic, visit your repo's landing page and select "manage topics."