🔬 Awesome Autoresearch

A curated, high-signal index of autonomous improvement loops, research agents, and descendants inspired by karpathy/autoresearch.

by Boring Dystopia Development

Contents

• 🛠️ General-purpose descendants

• 🔬 Research-agent systems

• 💻 Platform ports and hardware forks

• 🎯 Domain-specific adaptations

• 📊 Evaluation & benchmarks

• 📈 Notable use cases and writeups

• 📚 Related resources

• 📄 License

🛠️ General-purpose descendants

• kayba-ai/recursive-improve

• Recursive self-improvement framework where agents capture execution traces, analyze failure patterns, and apply targeted fixes with keep-or-revert evaluation.

• vukrosic/auto-research

• Docs-only control plane for an open autonomous AI research lab — file-based operating model for human direction and agent execution.

• uditgoenka/autoresearch

• Claude Code skill that generalizes autoresearch into a reusable loop for software, docs, security, shipping, debugging, and other measurable goals.

• leo-lilinxiao/codex-autoresearch

• Codex-native autoresearch skill with resume support, lessons across runs, optional parallel experiments, and mode-specific workflows.

• SeeleAI/Thoth

• Dashboard-first Claude Code and Codex runtime for autoresearch, with durable runs, locked work items, visible ledgers, and reviewable verdicts.

• supratikpm/gemini-autoresearch

• Gemini CLI skill that generalises autoresearch to any measurable goal. Gemini-native: uses Google Search grounding as a live verification source inside the loop, true headless overnight mode via --yolo --prompt, and 1M token context. Also works in Antigravity IDE via .agents/skills/.

• davebcn87/pi-autoresearch

• pi extension plus dashboard for persistent experiment loops, live metrics, confidence tracking, and resumable autoresearch sessions.

• drivelineresearch/autoresearch-claude-code

• Claude Code plugin/skill port of pi-autoresearch, with a clean experiment-loop workflow and a concrete biomechanics case study.

• greyhaven-ai/autocontext

• Closed-loop control plane for repeated agent improvement, with evaluation, persistent knowledge, staged validation, and optional distillation into cheaper local runtimes.

• jmilinovich/goal-md

• Generalizes autoresearch into a GOAL.md pattern for repos where the agent must first construct a measurable fitness function before it can optimize.

• james-s-tayler/lazy-developer

• Claude Code skill that orchestrates autoresearch across a prioritized sequence of optimization goals (coverage, test speed, build speed, complexity, LOC, performance) using GOAL.md as the engine. Supports standalone and Ralph Mode multi-instance execution.

• mutable-state-inc/autoresearch-at-home

• Collaborative fork of upstream autoresearch that adds experiment claiming, shared best-config syncing, hypothesis exchange, and swarm-style coordination across many single-GPU agents.

• zkarimi22/autoresearch-anything

• Generalizes autoresearch to any measurable metric — system prompts, API performance, landing pages, test suites, config tuning, SQL queries. "If you can measure it, you can optimize it."

• Entrpi/autoresearch-everywhere

• Cross-platform expansion that auto-detects hardware config and starts the loop. The "glue and generalization" half of autoresearch.

• ShengranHu/ADAS

• Automated Design of Agentic Systems — ICLR 2025. Meta-agents that invent novel agent architectures by programming them in code.

• MaximeRobeyns/self_improving_coding_agent

• SICA: Self-Improving Coding Agent that edits its own codebase. ICLR 2025 Workshop paper demonstrating scaffold-level self-improvement on coding benchmarks.

• peterskoett/self-improving-agent

• Alternative self-improving agent architecture with reflection and meta-learning cycles.

• metauto-ai/HGM

• Huxley-Gödel Machine for coding agents — applies self-improvement to SWE-bench performance via meta-level optimization.

• gepa-ai/gepa

• GEPA (Genetic-Pareto) — ICLR 2026 Oral. Reflective prompt evolution that outperforms RL (GRPO) on benchmarks. Optimizes any textual parameters against any metric using natural language reflection.

• sentient-agi/EvoSkill

• Automated skill discovery for coding agents: evolves reusable skills and prompts from failed trajectories against benchmarks, with support for Claude Code, Codex CLI, OpenCode, OpenHands, and Goose.

• MrTsepa/autoevolve

• GEPA-inspired autoresearch for self-play: mutate code strategies, evaluate head-to-head, rate with Elo/Bradley-Terry, branch from the Pareto front. Agent reads match traces to target mutations. Works as a Claude Code skill.

• HKUDS/ClawTeam

• Agent swarm intelligence for autoresearch — spawns parallel GPU research directions, distributes work across agents, aggregates results.

• Orchestra-Research/AI-Research-SKILLs

• Comprehensive skill library including autoresearch orchestration with two-loop architecture (inner optimization + outer synthesis).

• WecoAI/aideml

• AIDE: Tree-search ML engineering agent that autonomously improves model performance via iterative code generation and evaluation.

• weco.ai - Weco: Cloud platform for AIDE with observability, experiment tracking, and managed runs — brings the autoresearch loop into production.

🔬 Research-agent systems

• aiming-lab/AutoResearchClaw