Semantic Context

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This tool is a reference implementation of Semantic Intent patterns for Model Context Protocol (MCP) context management, enhanced with AI capabilities. It demonstrates how to build maintainable, AI-friendly codebases by applying principles like Semantic Anchoring, Intent Preservation, and Observable Properties, ensuring decisions are based on meaning rather than technical characteristics. Designed to preserve semantic contracts through transformations and provide clear domain boundaries, it offers a robust solution for managing context in AI-assisted development environments.

Características Principales

• Search contexts using keyword matching
• 1 GitHub stars
• Save conversation context with AI-powered summarization and auto-tagging
• Built with Domain-Driven Hexagonal Architecture for clean separation of concerns
• Implements Semantic Anchoring, Intent Preservation, and Observable Property patterns
• Retrieve relevant context for a specific project

Casos de Uso

• Providing context management for AI-assisted development workflows
• Connecting to remote MCP clients like Cloudflare AI Playground
• Integrating with local MCP clients such as Claude Desktop for enhanced context awareness