gabrielcoghi-rgb/spectre-graph

SpectreGraph: Autonomous OSINT Intelligence Engine with Disambiguation Graph for AI Assistants

SpectreGraph is a next-generation OSINT intelligence engine and graph disambiguation plugin designed to supercharge autonomous AI assistants. Unlike traditional OSINT tools that dump raw data, SpectreGraph builds a living knowledge graph that resolves ambiguities, links entities, and provides contextual intelligence—all without human intervention. Think of it as a neural network for open-source information, where every fact, person, location, and event becomes a node in a self-organizing web of truth.

This repository is a new and distinct evolution inspired by the core concepts of graph-based intelligence and disambiguation. While the parent concept focused on basic OSINT scraping, SpectreGraph introduces semantic entity resolution, dynamic graph pruning, and multi-agent collaboration for AI assistants like ChatGPT, Claude, and custom LLMs. It is not a fork—it is a reimagining of how autonomous systems understand and verify information.

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Why SpectreGraph? The Metaphor of the Crystal Lattice

Imagine you are sifting through a mountain of broken glass—millions of shards of information scattered across the web. Each shard is a tweet, a news article, a forum post, or a government database entry. Traditional OSINT tools pick up shards one by one, showing them to you as-is. But SpectreGraph is different. It acts as a crystal lattice: it takes those chaotic shards, identifies their unique edges, and assembles them into a single, coherent diamond. Every connection is verified, every duplicate is collapsed, every ambiguity is resolved. The result is not just data—it is intelligence, polished and ready for your AI assistant to wield.

This is not scraping. This is meaning extraction.