iusztinpaul/designing-real-world-ai-agents-workshop
Hands-on workshop teaching how to build multi-agent AI systems using MCP servers for deep research and writing workflows.
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This repository provides a workshop for building multi-agent AI systems from scratch. It includes implementations of a Deep Research Agent and a LinkedIn Writing Workflow, both served as MCP servers that connect to AI coding tools like Claude Code or Cursor. The workshop covers agent architecture patterns, tool integration, and orchestrating multiple AI agents working together.
Frequently asked
- What is iusztinpaul/designing-real-world-ai-agents-workshop?
- Hands-on workshop teaching how to build multi-agent AI systems using MCP servers for deep research and writing workflows.
- Is designing-real-world-ai-agents-workshop open source?
- Yes — iusztinpaul/designing-real-world-ai-agents-workshop is open source, released under the MIT license.
- What language is designing-real-world-ai-agents-workshop written in?
- iusztinpaul/designing-real-world-ai-agents-workshop is primarily written in Python.
- How popular is designing-real-world-ai-agents-workshop?
- iusztinpaul/designing-real-world-ai-agents-workshop has 453 stars on GitHub.
- Where can I find designing-real-world-ai-agents-workshop?
- iusztinpaul/designing-real-world-ai-agents-workshop is on GitHub at https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.