MemDx

Provides semantic code search across large codebases using ChromaDB vector storage and configurable embeddings, enabling indexing of local project directories with 50+ file type support and retrieval of code snippets with metadata tracking for development teams building knowledge bases and code navi

Memory-powered agent framework that provides persistent memory capabilities across conversations and sessions using vector databases and embeddings, enabling context retention, reasoning pattern recognition, and shared workspace memory for team collaboration.

Local semantic search and knowledge retrieval layer for Git repositories using Qdrant vector storage, with hybrid BM25 and vector search, delta indexing, and Docker-based deployment.