阿里AgentScope发布，掀翻了国产Agent的餐桌

Core Viewpoint - The article discusses the launch of Alibaba's AgentScope 1.0, a comprehensive enterprise-level intelligent agent development framework that integrates message-driven and hierarchical architecture, aimed at enhancing the development and deployment of intelligent agent applications [1][2]. Group 1: AgentScope 1.0 Features - AgentScope 1.0 represents a significant improvement in supporting flexible and efficient interactions between agents and their environments, leveraging advancements in large language models (LLMs) [3]. - The framework includes core components and a unified interface that allows developers to easily utilize the latest technological advancements, such as new models and model context protocols (MCPs) [3]. - It is built on the ReAct paradigm, which combines reasoning and action, providing three core functionalities: Reply, Observe, and Handle Interrupt, along with features like real-time control and dynamic tool supply [9]. Group 2: Built-in Agents and Collaboration - AgentScope includes three types of scenario-based agents: deep research agents, browsing agents, and meta-planning agents, each designed for specific tasks and capable of integrating various functionalities [9]. - The framework supports multi-agent collaboration through two core paradigms: "agents as tools" and "agent dialogue," ensuring seamless integration and context synchronization among multiple agents [9]. Group 3: Developer Experience and Tools - The framework offers a developer-friendly experience with tools that cover the entire development process, including evaluation, visualization, and runtime systems [6][7]. - A visual studio interface is provided for managing long-trajectory agent applications, along with a runtime sandbox to ensure safe execution of agents in production environments [3][9]. - The evaluation module features a layered architecture that supports both single-process and distributed computing evaluations, allowing for comprehensive performance assessment [9].