Retrieve a specific section from a memory document by providing the memory ID and section name. Simplifies accessing structured project knowledge for agents.
Set up a memory bank directory and initialize standard markdown templates to store project context for AI assistants, ensuring persistent information across sessions.
Search through agent memory to retrieve relevant information using semantic similarity matching. Specify queries to find stored data with configurable relevance thresholds and result limits.
A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.
Enables real-time indexing and semantic search of local documents (PDF, Word, text, Markdown, RTF) using vector embeddings and local LLMs. Monitors folders for changes and provides natural language search capabilities through Claude Desktop integration.