智能体互联网：构建异构智能体协同的网络

大型语言模型(LLM)的快速发展为开发高度 capable 的自主智能体铺平了道路。然而，现有的多智能体框架往往难以集成来自不同生态系统内的多样化第三方智能体 due to 依赖于自身生态系统内定义的智能体。此外，这些框架在模拟分布式环境时也面临挑战，因为大多数框架局限于单设备设置。Furthermore, these frameworks often rely on hard-coded communication pipelines, limiting their adaptability to dynamic task requirements. Inspired by the concept of the Internet, we propose the Internet of Agents (IoA), a novel framework that addresses these limitations by providing a flexible and scalable platform for LLM-based multi-agent collaboration. IoA introduces an agent integration protocol, an instant-messaging-like architecture design, and dynamic mechanisms for agent teaming and conversation flow control. Through extensive experiments on general assistant tasks, embodied AI tasks, and retrieval-augmented generation benchmarks, we demonstrate that IoA consistently outperforms state-of-the-art baselines, showcasing its ability to facilitate effective collaboration among heterogeneous agents. IoA represents a step towards linking diverse agents in an Internet-like environment, where agents can seamlessly collaborate to achieve greater intelligence and capabilities. Our codebase has been released at \url{https://github.com/OpenBMB/IoA}.