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Why this server?
Based on the Knowledge Graph Memory Server, it retains core functionality related to memory management.
Why this server?
Provides a vector store to automatically index markdown, html, and text files in a directory, enhancing context through vector embeddings.
Why this server?
Enables semantic search and RAG over Apple Notes, allowing AI assistants to search and reference notes during conversations.
Why this server?
Reduces token consumption by efficiently caching data between language model interactions.
Why this server?
A Claude-compatible MCP server that enables storing and summarizing notes through a simple note storage system with custom URI scheme.
Why this server?
Provides tools for listing and retrieving content from different knowledge bases using semantic search capabilities.
Why this server?
Allows you to build a persistent semantic graph from conversations with AI assistants. Integrates directly with Obsidan.md
Why this server?
Enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes.
Why this server?
Enhances AI model capabilities with structured, retrieval-augmented thinking processes.
Why this server?
A basic implementation of persistent memory using a local knowledge graph.