Rowboat Build Multi-Agent Workflows - Install and Test
AI Summary
This video provides a step-by-step guide to installing and using a multi-agent workflow builder called “robot” on a local system. The host explains the concept of AI agents as autonomous AI systems capable of planning, decision-making, and interacting with external tools or systems. The video demonstrates installing the robot on an Ubuntu system, including setting up a virtual environment, cloning the repository, and running the application with Docker. It highlights that the robot currently works only with OpenAI and discusses integrating it with MCP servers or using an HTTP API or Python SDK. The host shows how to configure a multi-agent workflow by creating AI assistants for specific tasks, such as a coffee shop assistant for order tracking and menu information. The interface allows adding multiple tools and custom parameters to agents, supporting role-specific interactions and retrieval-augmented generation (RAG) with custom data sources. The video also cautions viewers about potential API usage costs and encourages careful budget management. Overall, this open-source tool is presented as a flexible solution for building multi-agent AI workflows, useful for various applications.