Fabric

Fabric is an AI-native workspace and digital memory layer designed to serve as a unified brain for individuals and teams. Built on a sophisticated knowledge graph architecture, Fabric ingests data from multiple sources—including local files, browser history, cloud storage, and messaging apps—to create a semantically searchable index. Unlike traditional folder-based systems, Fabric utilizes Retrieval-Augmented Generation (RAG) and vector embeddings to allow users to query their entire digital history using natural language. The technical core of Fabric focuses on metadata extraction and entity relationship mapping, enabling it to surface connections between disparate data points (e.g., a Slack message and a PDF in Google Drive). As of 2026, Fabric occupies a strategic position in the 'Personal AI Operating System' market, competing with traditional PKM tools like Notion and Obsidian by offering zero-friction data capture and automated organization. Its architecture is optimized for high-speed indexing and multi-modal retrieval, ensuring that images, text, and code are equally discoverable within a single, unified interface.