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Tree of Thoughts (ToT) Monte Carlo Tree Search (MCTS) reasoning engine with UCB1 exploration-exploitation balance and state backpropagation.

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genpark-tree-of-thoughts-mcts-evaluator-skill

GitHub Stars Standard Library Only Python 3.10+

Tree of Thoughts (ToT) Monte Carlo Tree Search (MCTS) reasoning engine with UCB1 exploration-exploitation balance and state backpropagation.

graph TD
    A[Agent Runtime / Execution Stack] --> B[genpark-tree-of-thoughts-mcts-evaluator-skill]
    B --> C[Zero Dependency Engine]
    C --> D[Standard Library Primitives]
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Features

  • Strict 0 Pip Dependencies: Built completely using the Python Standard Library.
  • Fast Execution & Verification: Includes client wrapper, MCP server, and verified test suites.
  • Agentic AI Ready: Exposes standard MCP tools for continuous LLM integration.

Installation & Quickstart

git clone https://github.com/Alpha-Park/genpark-tree-of-thoughts-mcts-evaluator-skill.git
cd genpark-tree-of-thoughts-mcts-evaluator-skill
python example_usage.py

About

Tree of Thoughts (ToT) Monte Carlo Tree Search (MCTS) reasoning engine with UCB1 exploration-exploitation balance and state backpropagation.

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7 stars

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