awesome-autoresearch

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 kayba-ai/recursive-improve - Recursive self-improvement framework where agents capture execution traces, analyze failure patterns, and apply targeted fixes with keep-or-revert...

Quick Facts

Compatible Skills

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

• autoresearch — semantic(0.42)+complementary+rare_topics+similar_pop+shared_platform (64%)
• awesome-autoresearch — semantic(1.00)+rare_topics+similar_pop+shared_platform (60%)
• awesome-autoresearch — semantic(1.00)+rare_topics+similar_pop+shared_platform (60%)
• evo — semantic(0.29)+complementary+rare_topics+similar_pop+shared_platform (55%)
• de-anthropocentric-research-engine — semantic(0.26)+complementary+rare_topics+similar_pop+shared_platform (53%)

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Frequently Asked Questions