gabrielcoghi-rgb/spectre-graph

**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**.
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Key Features
- **Autonomous Entity Disambiguation** – SpectreGraph uses a proprietary graph-based algorithm to distinguish between, say, "Apple" (the fruit), "Apple" (the company), and "Apple" (a person's surname). No more false positives.
- **Dynamic Graph Pruning** – Outdated or contradictory information is automatically pruned from the knowledge graph, ensuring your AI never acts on stale data. The graph self-heals over time.
- **Multi-Agent Collaboration** – SpectreGraph integrates with multiple AI assistants simultaneously. Claude can query entities while ChatGPT validates sources—all within the same graph.
- **Semantic Relationship Mapping** – Not just "who" and "what," but "how." The engine maps relationships like "financed by," "opposes," "located near," and "predecessor of."
- **Responsive UI Dashboard** – A WebSocket-powered real-time dashboard that visualizes the graph, with zoom, search, and export capabilities. Works on mobile and desktop.
- **Multilingual Support** – Processes data in 50+ languages, including bidirectional scripts (Arabic, Hebrew) and CJK characters. The graph retains language-specific nuances.
- **OpenAI API & Claude API Integration** – Built-in connectors for GPT-4, GPT-4o, Claude 3.5, and Claude 4.0. Your AI assistant can call SpectreGraph as a tool without custom code.
- **24/7 Customer Support Automation** – SpectreGraph powers helpdesk bots by disambiguating customer queries in real time. "My iPhone is slow" vs. "My iPhone is slow to ship" are two different graphs.
- **Privacy-First Design** – All data is processed locally or on your own infrastructure. No telemetry, no third-party logging. The graph is yours.
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Mermaid Diagram: How SpectreGraph Processes a Query
This diagram represents the **lifecycle of a single query**. Notice how the Graph Resolution Engine (F) is a multi-step process that includes source scraping, fingerprinting, and pruning. This ensures that even if the query is ambiguous, the answer is not.