CRASH - Cascaded Reasoning with Adaptive Step Handling
Facilitates structured, iterative reasoning for complex problem-solving and analysis through an advanced Model Context Protocol server.
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CRASH is an advanced Model Context Protocol (MCP) server designed to enhance structured, iterative reasoning for complex problem-solving and analysis. This v2.0 iteration introduces flexible validation, confidence tracking, revision mechanisms, and branching support, all while prioritizing token-efficiency and a streamlined prompting approach. It aims to empower AI agents to tackle multi-step problems effectively by providing a robust and adaptable framework for systematic thought and decision-making, offering a significant improvement over traditional single-shot or basic planning modes.
Características Principales
- Branching Support to explore and manage multiple solution paths concurrently
- Confidence Tracking for expressing uncertainty with score-based assessments
- 19 GitHub stars
- Flexible Purpose Types for varied reasoning tasks (validation, exploration, hypothesis, etc.)
- Natural Language Flow with configurable formatting, avoiding rigid prefixes
- Revision Mechanism to correct and refine previous reasoning steps
Casos de Uso
- Solving complex problems that AI agents cannot resolve in a single attempt
- Conducting systematic analysis and decomposition of multi-faceted issues
- Exploring and validating multiple solution paths before committing to an implementation
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