{"repo":"vericle/intellyweave","free":true,"listed":false,"github":"https://github.com/vericle/intellyweave","clone":"git clone https://github.com/vericle/intellyweave.git","description":"AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.","language":"Python","stars":75,"topics":["ai-agents","document-processing","dspy","entity-extraction","fastapi","geospatial-visualization","gliner","intelligence-analysis","knowledge-graph","mapbox"],"license":"BSD-3-Clause","category":"ai-agents","readme_excerpt":"IntellyWeave AI-powered OSINT platform that transforms document chaos into actionable intelligence through entity extraction, geospatial analysis, archive discovery, and hypothesis-driven investigation. --- Quick Start Installation Feature Guides Live Demo --- What is IntellyWeave? IntellyWeave is an Open-Source Intelligence (OSINT) analysis platform that automatically extracts entities from documents, visualizes relationships on maps and network graphs, and employs multiple AI agents that debate complex questions to deliver well-reasoned answers with source citations. Upload your documents. Ask questions in natural language. Get intelligence. Mission IntellyWeave democratizes intelligence analysis by making professional-grade OSINT workflows accessible through AI automation. We eliminate the manual labor of entity extraction, relationship mapping, and geographic analysis—transforming months of work into minutes. Who Should Use This? IntellyWeave is for teams who need to: - Intelligence Analysts — Conduct OSINT research, connect disparate sources, build comprehensive assessments - Historical Researchers — Explore archives, declassified documents, and primary sources for patterns and narratives - Investigators — Track entities across documents, piece together evidence, build case narratives - Research Professionals — Extract structured data from unstructured sources, discover non-obvious relationships Scope In Scope - Automatic entity extraction (persons, organizations, locati","default_branch":null,"files":null,"tree":[],"storefront":"/r/vericle","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vericle/intellyweave/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}