16 boosters for "vector" — AI-graded, open source, ready to install
Librarian is a local-first documentation CLI that indexes and retrieves docs using vector embeddings and SQLite, enabling developers to search and manage documentation offline with AI assistance.
Provides quick-start guidance and code examples for integrating Upstash Vector, a high-performance vector database, into TypeScript applications. Developers building RAG systems, semantic search, or embedding-based features will benefit from this unified entry point.
RagCode MCP is a semantic code navigation tool that integrates RAG-powered code search into Windsurf and other IDEs, enabling developers to intelligently query and understand multi-language codebases using local LLMs. It's ideal for developers working with Laravel, Go, Python, and PHP who need fast, context-aware code exploration without leaving their IDE.
Heuristic scoring (no AI key configured).
Safarnak cursor rules provide comprehensive AI-assisted development guidelines for a full-stack, offline-first travel app built with Expo React Native, Cloudflare Workers, and GraphQL. Developers building complex mobile apps with multi-storage architectures and real-time features will benefit from these opinionated, production-tested rules.
An MCP server that provides structured access to adversarial tactics and cyber attack techniques for security research, penetration testing, and AI safety evaluation. Useful for security professionals, red teamers, and AI safety researchers studying attack vectors.
This MCP server provides scientific computation capabilities for linear algebra and vector operations, enabling developers and researchers to perform complex mathematical calculations directly within Claude and Cursor environments.
The Pensieve MCP Server enables Claude to examine and retrieve stored memories using vector search (Qdrant), making it ideal for developers building AI applications that need persistent, searchable memory across conversations.
MCP server that indexes your codebase with semantic search. Ask "find the auth bug I was debugging" instead of grepping. Uses embeddings + SQLite for local vector search. Respects .gitignore, tracks file changes, answers "what did I work on last week?"
An expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
A recursive RAG (Retrieval-Augmented Generation) MCP server that integrates with Cursor IDE to enable intelligent code retrieval and context optimization through vector embeddings and a rules optimizer. Developers using Cursor can leverage this to enhance code understanding, documentation retrieval, and AI-assisted development workflows.
A memory management system for AI agents using Qdrant vector database, enabling persistent semantic storage and retrieval of information across Claude conversations.
TheiaChat CLI Copilot Instructions is a comprehensive governance framework for an AI-assisted TypeScript terminal tool, designed to enforce enterprise-grade code quality, security, and architectural rigor through mandatory PRD-first workflows and triple-check verification gates. Enterprise teams and AI coding agents working on TypeScript CLI projects benefit from its structured approach to secure, validated feature development.
Domain-agnostic knowledge hub with Discord bot, AI agent, and vector search capabilities
MCP server providing semantic code search and API reference for the Immersive Web SDK using RAG (Retrieval-Augmented Generation) with vector embeddings
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.
