awesome-autoresearch — security grade SAFE, quality 51/100

Security audit verdict: SAFE · quality 51/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by alvinunreal · Agent Tool · ★ 995

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is awesome-autoresearch safe to install? View the security audit →

About awesome-autoresearch

🔬 Awesome Autoresearch A curated, high-signal index of autonomous improvement loops, research agents, and descendants inspired by karpathy/autoresearch. 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 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 ![GitHub stars](https://img.shields.io/github/stars/leo-

agentic-systemsai-agentsai-researchai-toolsautonomous-agentsautoresearchawesome-listclaude-codeexperiment-loopskarpathy

Quick Facts

Stars995
Forks73
CategoryAgent Tool
Quality Score50.7379500177111/100
Open Issues9
Last Updated2026-03-30
Created2026-03-20
Platformsclaude-code
Est. Tokens~9k

Compatible Skills

These tools work well together with awesome-autoresearch for enhanced workflows:

  • sibyl-research-system — semantic(0.38)+complementary+rare_topics+similar_pop+shared_platform (57%)
  • NanoResearch — semantic(0.34)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • af-deep-research — semantic(0.29)+complementary+rare_topics+similar_pop+shared_platform (50%)

awesome-autoresearch alternative? Top 6 similar tools

Looking for a awesome-autoresearch alternative? If you're comparing awesome-autoresearch with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • awesome-autoresearch by webfuse-com · ⭐ 2.5k

    A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Ka

  • awesome-autoresearch by alvinreal · ⭐ 2.2k

    A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Ka

  • awesome-autoresearch by WecoAI · ⭐ 1.0k

    Curated list of AutoResearch use cases with optimization traces and open source implementations

  • CORAL by Human-Agent-Society · ⭐ 961

    Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with gradin

  • AutoResearch-SibylSystem by Sibyl-Research-Team · ⭐ 281

    Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

  • evo by evo-hq · ⭐ 1.5k

    turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then run

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Frequently Asked Questions

What is awesome-autoresearch?

awesome-autoresearch is A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.. It is categorized as a Agent Tool with 995 GitHub stars.

How do I install or use awesome-autoresearch?

You can find installation instructions and usage details in the awesome-autoresearch GitHub repository at github.com/alvinunreal/awesome-autoresearch. The project has 995 stars and 73 forks, indicating an active community.

What are the best alternatives to awesome-autoresearch?

The top alternatives to awesome-autoresearch on Agent Skills Hub include awesome-autoresearch, awesome-autoresearch, awesome-autoresearch. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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