Qwen-Agent is a development framework for building autonomous software applications that leverage large language models to plan, reason, and execute complex tasks. It functions as an orchestration engine that enables models to interact with external APIs, manage persistent memory, and maintain context across multi-step workflows.
The framework distinguishes itself through a multi-agent collaboration platform that allows independent agent instances to exchange structured messages and delegate sub-tasks to one another. By utilizing iterative reasoning loops and dynamic prompt injection, the system guides agents through complex problem-solving cycles, allowing them to observe outcomes and refine their actions in real time.
The platform supports the integration of external tools and services, enabling agents to retrieve live data and perform real-world actions. It provides the necessary infrastructure for automated workflow orchestration, allowing developers to break down high-level goals into logical sequences of steps that the model can execute independently.
