JSPM

A production-ready Model Context Protocol (MCP) server for semantic memory management

Easy-to-use semantic search plugin for Supabase with automatic embedding generation and vector similarity search

A PGVector extension for Prisma

A framework for connecting your data to large language models

Production-ready RAG (Retrieval-Augmented Generation) framework for Next.js applications with PostgreSQL + pgvector

Advanced RAG integration library with runtime schema introspection, dynamic entity graph building, and comprehensive debugging tools for MongoDB, PostgreSQL, and vector stores

AI工具管理器 - 为Next.js项目提供AI工具管理和动态加载功能，添加了工具的创建、更新、删除、搜索等客户端功能，解决客户端导入服务器端工具的错误，继续优化客户端功能，添加分页搜索,参数去掉shape。自定义库取代@ai-sdk/react，解决swr问题,添加tool的模拟运行。添加一键生成工具。

ParadeDb JavaScript Client Library

Do

Embedded PostgreSQL with pgvector extension for Node.js applications

OpenRouter MCP server for research agents

Hybrid search toolkit for Postgres (pgvector + BM25 + rerank)

Utility for batch creating vectors via API

MeshOS - A memory system for AI agents

ParadeDb JavaScript Client Library Component for Midway.js

Automatically and continuously vectorize your PostgreSQL tables with the flexibility of your own embedding pipelines

MCP Rag search of the customer related informations

CLI tool to create modern Node.js projects with TypeScript, AI capabilities, and more

Advanced n8n node for Agentic RAG with Supabase pgvector - handles structured/unstructured documents with AI-powered query refinement

MCP server for PostgreSQL with pgvector semantic search capabilities

Stateful AI agent memory layer for PostgreSQL with pgvector - TypeScript-first with intelligent context management

TypeScript SDK for Supabase AI/RAG operations with pgvector

Automatically generate and sync vector embeddings for PostgreSQL text data