A server that consolidates 21+ Obsidian tools into 5 intelligent operations (vault, edit, view, workflow, system) with contextual workflow hints to help AI agents effectively interact with Obsidian.
Provides a coherent memory layer for LLM agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. It uses local embeddings and a hybrid geometric-logical energy model to identify conflicting information that requires review.
MCP server that turns a Markdown folder (e.g. Obsidian vault) into a second brain, capturing readings and ideas, connecting them as concepts, and resurfacing related notes on demand.
MCP server for a personal knowledge base that captures and structures idea fragments, enabling MCP-capable agents to search, retrieve, and add notes with semantic links and clustering.
MCP server for managing a local, domain-agnostic knowledge base using Markdown notes with frontmatter. Enables AI agents to capture, read, search, link, and maintain notes with atomic writes and privacy controls.
MCP server that provides semantic memory with search, related-content traversal, and write-back capabilities, all powered by local embeddings of your notes, documents, and chat histories.