The article provides an in-depth exploration of seven AI agent-building platforms, each offering unique approaches to constructing AI systems, from code-first frameworks like LangChain and AutoGen to low-code visual builders such as Botpress, Gumloop, and FlowiseAI. LangChain is highlighted for its flexibility and extensive integration capabilities, making it ideal for experienced developers looking for customizable agent workflows. AutoGen, by Microsoft, facilitates multiagent coordination with an optional visual interface but requires good Python skills. CrewAI supports role-based multiagent systems using YAML configurations for a structured approach. Botpress and Gumloop are aimed at users seeking low-code solutions for chatbot development, with Botpress focusing on conversational AI and Gumloop on rapid prototyping of simple workflows. FlowiseAI combines LangChain concepts with a visual editor, offering flexibility through integration with various LLM models and tools. Vertex AI by Google Cloud provides a robust low-code platform integrated with Google's ecosystem, suitable for scalable agents within GCP. Each platform is evaluated based on ease of use, flexibility, performance, integrations, community support, and pricing, catering to different developer needs and project complexities.