Helping Multi-Agent AI Experimentation


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Inspired by some work from a group at Stanford on building a lab from AI agents, I’ve been experimenting with multi-agent AI conversations and workflows. But, because the space (at least to me) has seemed more focused on building more capable agents rather than coordinating and working with more agents, the existing tools and libraries have been difficult to carry out experiments.

To facilitate some of my own exploration work, I built what I’m calling a Multi-Agent ChatLab — a browser-based, completely portable setup to define multiple AI agents and facilitate conversations between them. This has made my experimentation work vastly simpler and I hope it can help someone else.

And, to show off the tool, and for your amusement (and given my love of military history), here is a screengrab from the tool where I set up two AI Agents — one believing itself to be Napoleon Bonaparte and one believing itself to be the Duke of Wellington (the British commander who defeated Napoleon at Waterloo) — and had them describe (and compare!) the hallmarks of their military strategy.

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