obsidian-everywhere vs mcp-local-rag
obsidian-everywhere: Obsidian Everywhere transforms Obsidian notes into a structured graph and semantic knowledge base, providing token-budgeted AI context for remote agents. It integrates safe editing, optional local semantic search, and Git-backed version control, ensuring data integrity while keeping your vault on your local machine.; mcp-local-rag: MCP Local RAG provides a fully private, zero-setup Retrieval Augmented Generation (RAG) system for developers, enabling semantic search with keyword boosting on local documents. It integrates seamlessly with AI coding tools via MCP or offers direct command-line access, ensuring data privacy and offline functionality.
TL;DR
Transform a linked vault into focused AI context by combining exact search, semantic search, and graph traversal to create token-budgeted context packages for AI models.
Searching internal technical specifications, research papers, or documentation privately
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