Reasoner
Enhances Claude Desktop's reasoning capabilities with beam search and Monte Carlo Tree Search.
About
Reasoner is a reasoning implementation for Claude Desktop designed to enhance complex problem-solving. It incorporates both Beam Search, suitable for straightforward tasks, and Monte Carlo Tree Search (MCTS), which includes alpha variations for more complex scenarios. The tool tracks the quality of different reasoning paths, maps out Claude's thought processes, and analyzes the reasoning process itself, all while following the MCP protocol.
Key Features
- Offers Beam search and Monte Carlo Tree Search (MCTS) reasoning strategies.
- Includes experimental MCTS algorithms with adaptive exploration and outcome-based reasoning simulators.
- Tracks and evaluates different reasoning paths.
- Maps Claude's reasoning processes.
- Analyzes the reasoning process.
Use Cases
- Improving Claude's performance on complex problem-solving tasks.
- Analyzing and understanding Claude's reasoning process.
- Experimenting with different search strategies to optimize Claude's reasoning.
Sponsored