Building a CLI for Multi-Agent Tree-of-Thought: From Idea to Execution - Part 1

What if LLMs had opinions and argued in threads? What happens when we give LLMs not just memory and tools, but also autonomy, voices, perspectives, and structure? I built a simple CLI tool, a tiny experiment in multi-agent, tree-of-thought reasoning. The tool lets you simulate a conversation between different AI personas, each contributing their thoughts in a threaded format. This concept of enabling language models to work together to solve complex problems, with each agent assuming a unique role based on its strengths, is a central tenet of multi-agent LLM systems. Such systems are often observed to outperform traditional single-agent models, particularly when dealing with intricate tasks that necessitate diverse expertise and collaborative decision-making.

May 4, 2025 - 16:05

Building a CLI for Multi-Agent Tree-of-Thought: From Idea to Execution - Part 1

What if LLMs had opinions and argued in threads? What happens when we give LLMs not just memory and tools, but also autonomy, voices, perspectives, and structure?

I built a simple CLI tool, a tiny experiment in multi-agent, tree-of-thought reasoning. The tool lets you simulate a conversation between different AI personas, each contributing their thoughts in a threaded format.

This concept of enabling language models to work together to solve complex problems, with each agent assuming a unique role based on its strengths, is a central tenet of multi-agent LLM systems. Such systems are often observed to outperform traditional single-agent models, particularly when dealing with intricate tasks that necessitate diverse expertise and collaborative decision-making.