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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Mar 31, 2026 - Shell
Claude Autoresearch Skill — Autonomous goal-directed iteration for Claude Code. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
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.
AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
Curated list of AutoResearch use cases with optimization traces and open source implementations
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
🦞+🔬: NanoResearch: The Autonomous AI Research Assistant
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.
A self-improving loop for voice AI agents. Uses karpathy's autoresearch as foundation.
CORAL is a robust, lightweight infrastructure for multi-agent self-evolution, built for autoresearch.
Autoresearch with PhD-level workflows and modular agent skills. Built for the autonomous AI Scientist.
JustAsk: Curious Code Agents Reveal System Prompts in Frontier LLMs | Verified on Claude Code | Autoresearch for System Prompt Extraction
Run a Parallel Autonomous ML Research Organization on your OpenClaw instance.
Autonomous code optimization that works while you sleep (Autoresearch with Claude Code). Define a metric, point it at your code, go to bed. Wake up to a faster, smaller, better system — with correctness verified at every step.
Can LLMs beat classical HPO? A benchmark comparing classical, LLM-based, and hybrid methods on Karpathy's autoresearch.
Autoresearch ALL THE THINGS. RLVR for the masses.
Autonomous goal-directed iteration for Gemini CLI. Inspired by Karpathy's autoresearch. Modify → Verify → Keep/Discard → Repeat forever.
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