Kyle AI
The intelligent knowledge butler that unifies your disparate documentation into a private, searchable brain.
The internet's memory: An AI-powered workspace that automatically indexes your files, bookmarks, and thoughts.
Fabric is an advanced AI-native operating system for personal and professional information, designed to solve the problem of digital fragmentation. Its technical architecture centers on a continuous indexing engine that ingests data from disparate sources—including web browsers, local file systems, cloud storage (Google Drive, Dropbox), and communication platforms (Slack, Discord). Using high-dimensional vector embeddings, Fabric creates a semantic map of a user's entire digital footprint. This allows for 'conceptual search' rather than just keyword matching, enabling users to find documents based on meaning. By 2026, Fabric is positioned as the leading 'Personal AI Search' layer that sits above the traditional OS, providing a unified interface for retrieval-augmented generation (RAG). Its infrastructure handles complex OCR for images and PDFs, automated metadata extraction, and real-time synchronization. The platform transitions traditional bookmarking into an active intelligence layer, where the AI proactively suggests connections between new information and existing knowledge clusters, effectively functioning as a persistent, searchable external memory.
Uses RAG (Retrieval-Augmented Generation) to ground LLM responses in the user's private data locally or in-cloud.
The intelligent knowledge butler that unifies your disparate documentation into a private, searchable brain.
Turn static documentation into an AI-powered self-service intelligence hub.
The knowledge base platform designed to scale human expertise with AI-powered search and deep customization.
The AI-native workspace for modern team intelligence and automated workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Runs background vision models on screenshots and images to make visual text searchable.
Maps relationships between a Slack message, a Notion page, and a local PDF based on shared entities.
An extension-based layer that maintains highlights on live websites for future retrieval.
Unsupervised machine learning clusters related content into 'Suggestions' without manual tagging.
Low-latency search overlay accessible via system-wide hotkey.
Selective local indexing ensures sensitive data never leaves the device unless synced.
Managing hundreds of PDFs and finding specific citations across them.
Registry Updated:2/7/2026
Locating specific visual inspiration across desktop, Pinterest, and Slack.
Finding specific clauses in massive document dumps.