@agentics.org/sparc2
SPARC 2.0 - Autonomous Vector Coding Agent + MCP. SPARC 2.0, vectorized AI code analysis, is an intelligent coding agent framework built to automate and streamline software development. It combines secure execution environments, and version control into
mongodb-rag
RAG (Retrieval Augmented Generation) library for MongoDB Vector Search
memory-vector-store
A lightweight memory-based vector store with persistent storage support for both Node.js and browser environments. Efficiently store, retrieve, and search vector embeddings with minimal dependencies.
@qpd-v/mcp-server-ragdocs
A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.