A deep research agent framework optimized for complex research and prediction tasks, with MiroThinker-1.7 and MiroThinker-H1 models achieving 74.0 and 88.2 on BrowseComp benchmark, supporting multi-step reasoning and information retrieval.
Open-source deep research agent from Alibaba Tongyi Lab, using multi-stage iterative information retrieval and reasoning to conduct deep analysis, synthesis, and summarization of complex topics with web search and document analysis.
Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider, using Stream's edge network for ultra-low latency realtime interactions.
An end-to-end RL training framework by NVIDIA for orchestrating tools and agentic workflows. Optimizes multi-step agent decision-making and tool-use policies.
Conversational voice AI agents platform for building natural language phone interactions with multilingual speech synthesis and real-time dialogue management.