AI/LLM Reasoning Library
4.6k 2026-05-01
kyegomez/tree-of-thoughts
A plug-and-play Python library implementing the Tree of Thoughts algorithm to significantly enhance Large Language Model reasoning capabilities.
Core Features
Plug-and-play implementation of the Tree of Thoughts (ToT) algorithm.
Boosts LLM reasoning performance by up to 70%.
Supports integration with custom language models.
Includes a Depth-First Search (DFS) agent for structured problem-solving.
Configurable parameters for search depth, pruning, and agent parallelism.
Quick Start
pip3 install -U tree-of-thoughtsDetailed Introduction
This project provides an accessible and flexible Python implementation of the Tree of Thoughts (ToT) algorithm, a powerful method designed to elevate the reasoning abilities of Large Language Models. By enabling LLMs to explore multiple reasoning paths and self-correct, it significantly improves their problem-solving efficacy. The library offers a 'plug-and-play' interface, allowing developers to easily integrate their own models and leverage advanced deliberative thinking for complex tasks, making sophisticated AI reasoning more attainable.