Enables AI to manage Obsidian notes, including creation, reading, updating, deletion, full-text search, listing with filtering, sorting, and metadata extraction via the Model Context Protocol.
Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.
Turns a folder of Markdown notes into an agent-native knowledge base, providing long-term memory with provenance, token-budgeted retrieval, and safe write-back with versioning.
Enables semantic search and note management for Obsidian vaults via the Model Context Protocol, allowing LLMs to search, read, and index notes, PDFs, and web pages locally.
Enables AI assistants to manage a personal markdown-based knowledge base with natural language interactions. Supports creating, searching, updating, and organizing notes across categories like people, recipes, meetings, and procedures.