An MCP server that provides controlled read/write tools for managing local-first research memory in an Obsidian vault, enabling AI agents to maintain project context across sessions.
A remote MCP server that enables language models to search, read, and write notes in an Obsidian vault organized with the PARA method, and save URLs as notes.
An MCP server that exposes an Obsidian-style markdown vault as agent-readable memory. It provides tools for search, read, graph, and guarded capture without using embeddings.
An MCP server that gives AI assistants persistent memory across sessions. It stores project context, decisions, and progress in structured markdown files as well as a knowledge graph and sequential thinking for better memory storage.
MCP server that exposes an Obsidian-style markdown vault as a shared memory for AI agents, with tools for searching, reading, writing, and querying notes and wiki-links.