Reasoner
Enables systematic reasoning for Claude Desktop using beam search and Monte Carlo Tree Search.
About
Reasoner is a systematic reasoning implementation for Claude Desktop that leverages both Beam Search and Monte Carlo Tree Search (MCTS) to enhance problem-solving capabilities. It supports thought scoring and evaluation, tree-based reasoning paths, and statistical analysis of the reasoning process, all while adhering to the MCP protocol. With configurable search strategies, it excels in mathematical problems, logical puzzles, and complex scenarios with uncertain outcomes, demonstrated by its performance on benchmarks like the Arc AGI test.
Key Features
- Thought scoring and evaluation
- 8 GitHub stars
- Dual search strategies: Beam search and MCTS
- Tree-based reasoning paths
- Configurable beam search width
- Statistical analysis of reasoning process
Use Cases
- Complex problem decomposition
- Mathematical problems
- Logical puzzles
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