Plano-Orchestrator is a new family of open-source large language models (LLMs) designed for rapid multi-agent orchestration, developed by the Katanemo research team. These models prioritize privacy, speed, and performance, enabling them to efficiently determine which agents should handle user requests and in what order, acting as a supervisory agent in complex multi-agent systems. Suitable for various domains, including general chat, coding tasks, and extensive multi-turn conversations, Plano-Orchestrator is optimized for low-latency production environments. This innovation aims to enhance the real-world performance and efficiency of multi-agent systems, offering a valuable tool for developers focused on integrating diverse agent functionalities.
