AgentUniverse provides a unified Python SDK to design, orchestrate, and run autonomous AI agents. Developers can define agent behaviors, integrate external tools or APIs, maintain conversational memory, and sequence multi-step tasks. Supporting LangChain, custom tool plugins, and configurable runtime environments, it accelerates agent development and deployment. Built-in monitoring and logging enable real-time insights, while its modular architecture allows easy extension with new capabilities or AI models.

AUITestAgent harnesses the power of GPT-based AI to streamline mobile UI testing. By feeding it application screenshots and textual test scenarios, it automatically generates Appium scripts ready for execution on emulators or real devices. The agent supports both Android and iOS testing environments, offering customizable prompts for specific workflows. It also provides test result reporting and integrates effortlessly into existing CI/CD systems, ensuring faster, more reliable regression and functional testing with minimal manual effort.

AutoAct is designed to streamline the development of intelligent agents by combining LLM-driven reasoning with structured planning and modular tool integration. It offers a Planner component to generate action sequences, a ToolKit for defining and invoking external APIs, and a Memory module to maintain context. With logging, error handling, and configurable policies, AutoAct supports robust end-to-end automation for tasks such as data analysis, content generation, and interactive assistants. Developers can customize workflows, extend tools, and deploy agents on-premise or in the cloud.