All repos — GH Trending Explorer

FOREST is a research agent for long-horizon science, where evidence gets lost, errors compound, and goals drift. It explores ideas, reads literature, forms hypotheses, runs real experiments, analyzes results, revises paths, and builds a full paper—all in an editable graph you can inspect, branch, redirect, with claims and figures linked to evidence

WecoAI / aideml

AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.

Human-Agent-Society / CORAL

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.

Gen-Verse / ScienceBuddy

ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

EvoMap / AutoResearch

AI/ML research agents from idea to paper-ready evidence. An EvoMap open-source project.

webfuse-com / awesome-autoresearch

A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.

dzhng / skills

Reusable AI agent skills for software factories: explore ideas, write specs, implement, review, and run autonomous research. Works with Claude Code, Codex, and other skill-compatible agents.

davebcn87 / pi-autoresearch

Autonomous experiment loop extension for pi

OpenNSWM-Lab / FAROS

A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

chrisworsey55 / atlas-gic

ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch

hyperspaceai / agi

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.

evo-hq / evo

turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then runs tree search with parallel subagents.

OpenRaiser / NanoResearch

🦞+🔬 NanoResearch: The Autonomous AI Research Assistant

greyhaven-ai / autocontext

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

TheGreenCedar / codex-autoresearch

A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.

yibie / awesome-autoresearch

awesome autoresearch list

ZimoLiao / scholaraio

Scholar All-In-One: A research infrastructure for AI agents

yogsoth-ai / de-anthropocentric-research-engine

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.