Marker-Inc-Korea/AutoRAG
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
A project structure aware autonomous software engineer aiming for autonomous program improvement. Resolved 37.3% tasks (pass@1) in SWE-bench lite and 46.2% tasks (pass@1) in SWE-bench verified with each task costs less than $0.7.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
"Your Fully-Automated Personal AI Assistant"
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
2 captures since 2026-05-23