Let the Agent become more accurate the more you use it, and the cost will get lower and lower: Agent Loop’s Agent experience self-evolution closed loop

As large models move from dialogue question and answer to tool invocation and complex task execution, AI Agent is entering core enterprise scenarios such as R&D, operation and maintenance, data analysis, and customer service. The focus of enterprises has also shifted from "can an agent be made?" to "whether the agent is accurate after it is launched, how to locate problems, how to verify the optimization effect, and whether the operating costs are controllable." AgentLoop is an observable and continuous optimization platform provided by Alibaba Cloud for AI Agent R&D and production operations. It helps enterprises by collecting the Agent's model calls, tool calls, and complete execution links, converting original Traces into analyzable Trajectories, and connecting evaluation, experimentation, and experience-based self-evolution capabilities.