GitHub Repository: Hands-on Workshop for Building Multi-Agent AI Systems

A GitHub repository provides materials for a hands-on workshop focused on building multi-agent AI systems. It includes code, slides, and video for creating a Deep Research Agent and a Writing Workflow, both designed as MCP (Multi-Agent Communication Protocol) servers.

RDR86Confidence 90%AI AgentsMulti-Agent SystemsWorkshopPythonDeep ResearchWriting WorkflowMCP ServersOpen Source

Why it matters

This repository offers practical resources for developers interested in agentic AI, providing a concrete example of how to construct and integrate multiple AI agents for complex tasks like research and content generation. The inclusion of code, slides, and video makes it an accessible learning tool for implementing multi-agent architectures.

The `iusztinpaul/designing-real-world-ai-agents-workshop` GitHub repository provides a comprehensive set of materials for a hands-on workshop. The workshop focuses on the development of multi-agent AI systems, specifically demonstrating how to build a Deep Research Agent and a Writing Workflow. These agents are implemented as MCP servers, enabling them to communicate and collaborate. The repository includes all necessary code, presentation slides, and video recordings of the workshop, making it a valuable resource for learning about agentic AI engineering. The project is written in Python and has garnered 436 stars and 121 forks, indicating community interest.

Article ID - cmpxhea460Featured on AI Radar: GitHub Repository: Hands-on Workshop for Building Multi-Agent AI Systems