Platano78

Faulkner DB — Development skill for Claude Code

Development community

Temporal Knowledge Graph System for Architectural Memory - Track decisions, patterns, and failures with MCP integration for Claude Code/Desktop.

How to install Faulkner DB

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Platano78/faulkner-db and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Faulkner DB does

Temporal Knowledge Graph System for Architectural Memory - Track decisions, patterns, and failures with MCP integration for Claude Code/Desktop.

Alternatives in Development

  • Understand Anything — Graphs that teach graphs that impress 80.7k ★
  • Code Review Graph — Local knowledge graph for Claude Code 3.7k ★
  • Understand Anything — Claude Code skills that turn any codebase into an interactive knowledge graph you can explore, search, and ask 2.5k ★

README

Faulkner DB - Temporal Knowledge Graph System

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Python Version](https://img.shields.io/badge/python-3.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue)](https://www.python.org/downloads/) [![Docker](https://img.shields.io/badge/docker-required-blue.svg)](https://docs.docker.com/get-docker/) [![npm version](https://img.shields.io/npm/v/faulkner-db-config.svg)](https://www.npmjs.com/package/faulkner-db-config) [![CI Status](https://github.com/platano78/faulkner-db/workflows/CI/badge.svg)](https://github.com/platano78/faulkner-db/actions) [![GitHub stars](https://img.shields.io/github/stars/platano78/faulkner-db.svg)](https://github.com/platano78/faulkner-db/stargazers)

**Faulkner DB empowers software teams to capture, query, and analyze architectural decisions, implementation patterns, and failures as they evolve over time.** Built on FalkorDB (CPU-friendly graph database) with hybrid search capabilities, it provides unparalleled insights into your project's history, fostering better decision-making and reducing technical debt.

🎯 Value Proposition

  • Improved Decision Tracking - Capture the rationale behind architectural choices and their impact over time
  • Enhanced Collaboration - Facilitate knowledge sharing and alignment across teams
  • Reduced Technical Debt - Identify and address problematic patterns early
  • Faster Onboarding - Accelerate learning for new team members with comprehensive project history
  • AI-Ready Knowledge Base - Structure knowledge for AI-powered development tools (Claude Code/Desktop)

✨ Key Features

  • Temporal Knowledge Graph - Track changes to decisions and patterns over time
  • Hybrid Search - Graph traversal + vector embeddings + CrossEncoder reranking (<2s queries)
  • Gap Detection - NetworkX-based structural analysis to identify knowledge gaps
  • MCP Integration - 13 tools for seamless Clau