A local knowledge base server that connects to AI assistants, turning markdown files into a semantically searchable memory layer via OpenAI embeddings and SQLite.
A Python-based server providing persistent memory management for AI models with SQLite and Markdown dual backend storage. It features full-text search, RAG-enhanced querying, and cross-project knowledge sharing for integration with Claude, Cursor, and Rovo Dev.
A local-first knowledge base server that enables AI clients to store, retrieve, and manage documents using semantic search. Provides privacy-focused, offline-capable memory for AI assistants with tools for ingesting, querying, updating, and deleting knowledge.
A single-file MCP server that turns any folder into a workspace for AI agents, enabling file operations, code search, shell commands, background jobs, HTTP testing, headless browsing, PDF extraction, and screen capture.
Turns an Obsidian vault into a local Model Context Protocol server that allows AI tools to directly read, search, and write to your notes. It features folder-level access control and a built-in dashboard for easy integration with tools like Claude Desktop and Cursor.
A lightweight, powerful local memory server for AI agents supporting text, entities, and relations. Enables persistent codebase understanding and user preference management.