deliberate-reasoning-engine and crash-mcp

crash-mcp
49
Emerging
Maintenance 10/25
Adoption 6/25
Maturity 24/25
Community 12/25
Maintenance 6/25
Adoption 8/25
Maturity 24/25
Community 11/25
Stars: 4
Forks: 1
Downloads: 21
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 67
Forks: 7
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No risk flags

About deliberate-reasoning-engine

haasonsaas/deliberate-reasoning-engine

MCP server that transforms linear AI reasoning into structured, auditable thought graphs

Implements semantic thought categorization (objectives, hypotheses, assumptions, evidence, critiques) as nodes in a directed acyclic graph with explicit dependency tracking and cascade invalidation—when an assumption is disproven, all dependent reasoning automatically becomes stale. Integrates with Claude Desktop via the Model Context Protocol, exposing tools for logging structured thoughts, retrieving the reasoning graph, and invalidating assumptions to maintain reasoning consistency.

About crash-mcp

nikkoxgonzales/crash-mcp

MCP server for structured and efficient reasoning with step validation, branching, and revisions.

This is a server that helps AI assistants tackle complex problems by breaking them down into clear, manageable steps. It takes a problem description and produces a structured, step-by-step reasoning process, including tracking confidence, allowing revisions, and exploring different solutions. Developers of AI assistants would use this to enhance their agent's ability to solve multi-faceted challenges.

AI agent development complex problem solving reasoning workflows AI debugging systematic analysis

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