Faulkner DB

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Faulkner DB is a temporal knowledge graph system designed for software teams to meticulously track architectural decisions, implementation patterns, and encountered failures throughout a project's lifecycle. Built on the CPU-friendly FalkorDB with robust hybrid search capabilities (graph traversal, vector embeddings, and CrossEncoder reranking), it provides deep insights into project history. By structuring this knowledge, Faulkner DB not only facilitates improved decision-making, enhanced team collaboration, and reduced technical debt but also serves as an AI-ready knowledge base, particularly useful for integration with AI-powered development tools like Claude Code/Desktop.

Características Principales

• NetworkX-based structural analysis for identifying knowledge gaps
• 0 GitHub stars
• Temporal Knowledge Graph for tracking evolving decisions and patterns
• CPU-friendly operation with Docker deployment and gaming-friendly memory footprint
• 7 specialized tools for seamless integration with Claude Desktop/Code
• Hybrid search combining graph traversal, vector embeddings, and reranking for rapid queries

Casos de Uso

• Identifying and addressing problematic implementation patterns early to reduce technical debt
• Capturing the rationale behind architectural choices and their impact over time to improve decision tracking
• Accelerating learning for new team members through comprehensive project history and structured knowledge