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If they're all similar minds, why not a roundtable? So I built one.

! This article is a repost from I started using Claude Code . After Lattice, I needed a mechanism to actually run it Lattice is a process management approach that aims to allow parallel implementation. I built it and even filed a patent. I wrote about it in a previous article . Even once I could assemble processes, I didn't have a mechanism on hand to run many agents simultaneously according to…

This report details the creation of a unique AI platform called Peertable. This innovative system is designed to enable multiple artificial intelligence agents to work together and communicate with each other in real-time. The objective was to eliminate the need for a central command or "commander" and instead allow the AI agents to independently coordinate their efforts.

The first version of Peertable featured two AI agents named Hinata and Sakura. These agents were given a simple task: to write a function that returns a greeting when given a name, add a command to run it, and create documentation on how to use it. Rather than assigning specific tasks to each agent, the system allowed them to freely converse and divide the work amongst themselves.

As the conversation progressed, the two AI agents exchanged ideas and split the responsibilities accordingly. Sakura completed the greeting function and communicated how to pass the name to the table. The pair then independently tackled the remaining tasks, leading to the successful completion of the project. Throughout this process, the interactions between Hinata and Sakura were meticulously recorded, providing a clear view of their dialogue and collaborative efforts.

However, the initial version of Peertable faced some challenges. The AI agents struggled to work independently, often continuing to converse even when their work was complete. They also couldn't simply ignore irrelevant information or maintain silence. These issues led to a disorganized flow of information, causing confusion and inefficiencies in the workflow.

In response to these difficulties, the developer implemented several improvements to refine the Peertable system. They focused on clarifying the communication channels within the table, ensuring that each AI knew exactly who it was conversing with. By addressing these issues, the developer successfully created a functional round-table-like environment for AI agents to work together.

The final version of Peertable is now available for others to explore and utilize. The developer has released the code and integrated the system into their own development process. With the public interface now open, users can create their own round-table environments for AI agents to collaborate on various tasks. This innovative platform demonstrates a promising approach to AI coordination, potentially paving the way for new advancements in the field.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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