Context-Fabric

关于

Context-Fabric evolves corpus analysis for the AI era, building on the robust Text-Fabric data model with a new memory-mapped architecture. This design enables true parallel processing for high-performance production deployments, including REST APIs, multi-worker services, and direct integration with AI agents via its Model Context Protocol (MCP) server. It offers significant improvements in load times and memory efficiency compared to its predecessor, making advanced textual data exploration scalable and ready for modern AI workflows.

主要功能

• Memory-mapped architecture for true parallel processing and shared data across workers
• AI-native Model Context Protocol (MCP) server for LLM integration (Claude, GPT, etc.)
• Powerful data model supporting standoff annotation, graph traversal, and arbitrary feature annotations
• Advanced structural pattern search capabilities for complex textual queries
• Dramatic performance improvements: 3.5x faster loads and significantly less memory consumption
• 1 GitHub stars

使用案例

• Building production-grade REST APIs and multi-worker services for scalable corpus analysis
• Empowering AI agents to perform advanced grammatical and structural queries on textual corpora
• Conducting efficient and memory-optimized research on large textual datasets