Building a Multi Agent Townhall simulation from scratch

📰 Dev.to AI

Learn to build a multi-agent townhall simulation from scratch and understand how asynchronous agent communication works in a real-time medieval townhall debate setting

advanced Published 21 Jul 2026

Action Steps

Build a medieval townhall simulation environment using a programming language of your choice
Implement three AI characters with distinct personalities and accents
Configure asynchronous agent communication to enable real-time conversation between agents
Test the simulation with various debate topics and scenarios
Apply natural language processing techniques to improve agent conversation and understanding

Who Needs to Know This

AI engineers, software engineers, and researchers can benefit from this project to understand multi-agent systems and asynchronous communication, and apply it to their own projects

Key Insight

💡 Asynchronous agent communication is key to creating realistic multi-agent simulations

Key Takeaways

Learn to build a multi-agent townhall simulation from scratch and understand how asynchronous agent communication works in a real-time medieval townhall debate setting

Full Article

I wanted to understand how multi-agent systems actually work — not from a tutorial, but by wiring the pieces together myself. So I built a medieval townhall simulation where three AI characters (a mayor with a French accent, a judge , and a villager ) debate topics in a medieval townhall. They can all hear each other in real time and can all contribute to the conversation. This project covers how to implement asynchronous agent communica

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