Enables AI agents to save, search, and manage markdown-based research articles through a complete CRUD interface. Supports creating, reading, updating, and deleting articles with frontmatter metadata in a self-hosted file-based system.
Provides a durable, Obsidian-compatible knowledge base for agents using markdown notes and wikilinks. Enables agents to store, retrieve, and interlink knowledge persistently, with tools for writing, searching, and managing a graph of notes.
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.
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.
Enables AI-powered knowledge base management with automated wiki-linking, content generation from titles, web research summarization, and knowledge graph integrity maintenance for Markdown files.
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.
