memory-engine
An open-source knowledge management system that converts unstructured text into a graph database with automatic relationship discovery and semantic search. Built with JanusGraph and Milvus, designed to work with both commercial and local AI models. Currently in alpha development.
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Model Context Protocol (MCP) server implementation for semantic vector search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memories with semantic vector database search capabilities. You can use Claude and Cline AI as well.
Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration in development environments.