9 repos
Systems and frameworks for building autonomous agents powered by large language models, with emphasis on reinforcement learning, tool use, and scalable training approaches. The cluster covers agent architectures, reward modeling, multi-agent coordination, and optimization techniques for making LLMs more capable at complex reasoning and task execution. Repositories range from foundational agent systems to specialized approaches like retrieval-augmented reasoning and efficient model scaling.