Implements a Model Context Protocol (MCP) server for semantic vector search and memory management using TxtAI.
TxtAI Assistant provides a robust Model Context Protocol (MCP) server implementation built on top of txtai, an AI-powered search engine. It enables AI assistants like Claude and Cline to leverage powerful semantic search capabilities for storing, retrieving, and managing text-based memories, enhancing their ability to maintain context and recall relevant information during conversations.
Características Principales
01Semantic search across stored memories
02Persistent file-based storage
03Tag-based memory organization and retrieval
04Integration with Claude and Cline AI
05Comprehensive logging and health monitoring
Casos de Uso
01Enhancing Claude AI with semantic memory capabilities
02Providing Cline AI with context-aware information retrieval
03Storing and retrieving conversation history for AI assistants
