127 boosters for "RAG" — open source, verified from GitHub, ready to install
A lightweight production-ready RAG system prompt that integrates contextual chunking and vector retrieval via Chroma, designed for developers building AI-enhanced code editors and IDEs. Developers working with Claude, ChatGPT, or Cursor who need retrieval-augmented generation without heavy infrastructure will benefit from this ready-to-deploy foundation.
Alex is a full-stack testing and debugging agent that helps developers write and run unit, integration, and end-to-end tests while debugging across frontend, backend, and third-party integrations. Full-stack engineers and QA teams benefit from streamlined test development and coverage analysis.
This MCP server enables developers to query and manipulate local databases using natural language instead of writing SQL, bridging the gap between conversational AI and database operations. It's useful for developers who want to integrate natural language database interactions into Claude-powered applications.
react-pro is an expert React development agent that helps developers build modern, performant web applications with advanced patterns like Hooks, Context API, and state management. It's ideal for teams creating new React components, refactoring legacy code, and solving complex UI challenges.
A production-grade system prompt for building a security-hardened RAG (Retrieval-Augmented Generation) document Q&A platform with JWT auth, multi-tenant isolation, and Gemini integration. Ideal for teams building enterprise-ready AI assistants that prioritize security and observability.
An MCP Server that enables secure payment management through encrypted card storage and crypto wallet integration for AI assistants. Useful for developers building financial applications with Claude that require secure transaction handling.
A model-agnostic system prompt implementing the Higgs Universal Memory Contract (UMC)—a governance protocol for AI assistants to manage scoped, auditable memory across multi-agent systems while preventing information leakage between sessions and clients.
