AI/ML Library
4.6k 2026-04-18
kyegomez/tree-of-thoughts
A plug-and-play Python library implementing the Tree of Thoughts (ToT) algorithm to significantly enhance Large Language Model reasoning capabilities by up to 70%.
Core Features
Easy plug-and-play integration with existing LLMs.
Boosts LLM reasoning performance by up to 70%.
Includes a Depth-First Search (DFS) agent for structured problem-solving.
Supports custom model integration.
Features thought pruning to optimize search efficiency.
Quick Start
pip3 install -U tree-of-thoughtsDetailed Introduction
Tree of Thoughts (ToT) is an advanced algorithm designed to empower Large Language Models (LLMs) with more deliberate and structured problem-solving abilities, leading to a substantial improvement in reasoning. This project provides a user-friendly, plug-and-play Python implementation of ToT, allowing developers to easily integrate it with their own LLMs. By enabling models to explore multiple reasoning paths and evaluate intermediate thoughts, it elevates AI's cognitive capabilities, making it suitable for complex tasks requiring advanced logical deduction.