Context Engine
Provides semantic code search and context enhancement for local codebases using real-time file watching and background indexing to
Context Engine provides semantic code search and context enhancement capabilities for local codebases using the Auggie SDK as its core retrieval engine. Built with a 5-layer architecture, it exposes tools for semantic search, file retrieval, context bundling, and AI-powered prompt enhancement through the Model Context Protocol. The server operates locally-first with no cloud dependencies, supports real-time file watching for incremental indexing, and includes background indexing via worker threads. Designed for AI coding assistants like Claude Desktop and Cursor, it enables natural language queries over codebases for tasks like bug investigation, feature development, and code understanding without requiring manual file navigation.
Source
Repository: https://github.com/kirachon/context-engine
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