AgentScope 1.0: A Developer-Centric Framework for Building Agentic
  Applications
Driven by rapid advancements of Large Language Models (LLMs), agents are
empowered to combine intrinsic knowledge with dynamic tool use, greatly
enhancing their capacity to address real-world tasks. In line with such an
evolution, AgentScope introduces major improvements in a new version (1.0),
towards comprehensively supporting flexible and efficient tool-based
agent-environment interactions for building agentic applications. Specifically,
we abstract foundational components essential for agentic applications and
provide unified interfaces and extensible modules, enabling developers to
easily leverage the latest progress, such as new models and MCPs. Furthermore,
we ground agent behaviors in the ReAct paradigm and offer advanced agent-level
infrastructure based on a systematic asynchronous design, which enriches both
human-agent and agent-agent interaction patterns while improving execution
efficiency. Building on this foundation, we integrate several built-in agents
tailored to specific practical scenarios. AgentScope also includes robust
engineering support for developer-friendly experiences. We provide a scalable
evaluation module with a visual studio interface, making the development of
long-trajectory agentic applications more manageable and easier to trace. In
addition, AgentScope offers a runtime sandbox to ensure safe agent execution
and facilitates rapid deployment in production environments. With these
enhancements, AgentScope provides a practical foundation for building scalable,
adaptive, and effective agentic applications.
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Weirui Kuang
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Yue Cui
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Haohao Luo
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Shen Li
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Shen Li
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Lu Yi
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Yi Yu
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Shiqi He
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Zhiling Luo
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Wenmeng Zhou
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Zhicheng Zhang
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Xuguang He
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Ziqian Chen
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Weikai Liao
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Farruh Isakulovich Kushnazarov
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Yaliang Li
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Bolin Ding
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Jingren Zhou
AgentScope 1.0: A Developer-Centric Framework for Building Agentic
  Applications
Driven by rapid advancements of Large Language Models (LLMs), agents are
empowered to combine intrinsic knowledge with dynamic tool use, greatly
enhancing their capacity to address real-world tasks. In line with such an
evolution, AgentScope introduces major improvements in a new version (1.0),
towards comprehensively supporting flexible and efficient tool-based
agent-environment interactions for building agentic applications. Specifically,
we abstract foundational components essential for agentic applications and
provide unified interfaces and extensible modules, enabling developers to
easily leverage the latest progress, such as new models and MCPs. Furthermore,
we ground agent behaviors in the ReAct paradigm and offer advanced agent-level
infrastructure based on a systematic asynchronous design, which enriches both
human-agent and agent-agent interaction patterns while improving execution
efficiency. Building on this foundation, we integrate several built-in agents
tailored to specific practical scenarios. AgentScope also includes robust
engineering support for developer-friendly experiences. We provide a scalable
evaluation module with a visual studio interface, making the development of
long-trajectory agentic applications more manageable and easier to trace. In
addition, AgentScope offers a runtime sandbox to ensure safe agent execution
and facilitates rapid deployment in production environments. With these
enhancements, AgentScope provides a practical foundation for building scalable,
adaptive, and effective agentic applications.
AgentScope enhances agentic applications by providing flexible tool-based interactions, unified interfaces, and advanced infrastructure based on the ReAct paradigm, supporting efficient and safe development and deployment.
Large Language Models LLMs AgentScope tool-based agent-environment interactions ReAct paradigm asynchronous design human-agent interactions agent-agent interactions built-in agents scalable evaluation module visual studio interface runtime sandbox