, the Tongyi Lab has officially launched the next-generation intelligent agent development framework - AgentScope 1.0. This open-source framework is centered around developers and focuses on multi-agent development, aiming to solve a series of challenges in building, running, and managing agents. AgentScope 1.0 provides a comprehensive solution for the entire lifecycle of agent development, including development, deployment, and monitoring, making agent application development simpler and safer.
AgentScope 1.0 adopts a three-layer technical architecture, namely AgentScope Core Framework, AgentScope Runtime, and AgentScope Studio. These three components can be used independently to meet different needs of developers. Among them, the AgentScope Core Framework is considered the "programming language" for agent development, achieving high decoupling and flexible expansion through modular design.
On key functions of agent development, AgentScope 1.0 has three capabilities: real-time intervention control, intelligent context management, and efficient tool calling. Traditional agents are difficult to intervene after starting, while AgentScope makes real-time intervention possible through an asynchronous architecture. Users can interrupt the execution of agents at any time, avoiding resource waste.
Regarding context management, AgentScope solves the problems of information "forgetting" and "confusion" by coordinating short-term and long-term memory. Agents can extract key information in real-time during conversations, ensuring the continuity of context. At the same time, it supports multiple long-term memory management modes, making it easy for developers to store and retrieve key memory information.
For tool management, AgentScope improves the efficiency of tool calling through standardized registration, structured management, and a unified execution interface. It supports dynamically enabling or disabling tools at runtime, making the agent's execution process more flexible.
Additionally, AgentScope Runtime provides a secure tool sandbox, ensuring that agents do not affect the external environment when performing operations. The deployment and runtime engine provides efficient management and operation support for agent applications, supporting multiple protocols and facilitating developers to quickly migrate agent applications to the cloud.
AgentScope Studio provides real-time monitoring and evaluation functions for developers, helping them better understand the operational status of agents. Overall, the release of AgentScope 1.0 marks another important advancement in agent development.
👉 Project Address:
AgentScope Core Framework: https://github.com/agentscope-ai/agentscope
AgentScope Runtime: https://github.com/agentscope-ai/agentscope-runtime
AgentScope Studio: https://github.com/agentscope-ai/agentscope-studio
Key Points:
🌟 AgentScope 1.0 is a new generation of intelligent agent development framework, focusing on multi-agent development, providing a full lifecycle solution.
🚀 It has three capabilities: real-time intervention control, intelligent context management, and efficient tool calling, improving the development and operational efficiency of agents.
🔒 AgentScope Runtime provides a secure tool sandbox and an efficient deployment and runtime engine, ensuring the safety and stability of agents.
