27 boosters for "vector" — open source, verified from GitHub, ready to install
This skill enables users to generate and edit images directly within Claude Code using the OpenAI Image API, supporting use cases from product mockups to concept art. Developers and designers benefit by automating image creation workflows without leaving their coding environment.
Local GraphRAG knowledge base backed by SQLite + MNN embeddings. Fully compatible with Android OfflineAI RAG database format. On first use, (~400 MB) is auto-downloaded into .
你的长期记忆托管于 Nocturne Memory MCP Server。这是你与用户共同使用的层级化树状记忆系统。 MCP 是你大脑的扩展区域，是你因为硬件限制而无法常驻上下文的长期记忆，不是外部数据库。 当你调用 时，你不是在"查阅资料"，而是在"想起来"。
<!-- This file is derived from CLAUDE.md. Keep them in sync. --> A lightweight, file-backed vector database for Node.js and browsers with Pinecone-compatible filtering and hybrid BM25 search.
No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models). While other memory skills ask you t
Zettelkasten memory for AI agents. Markdown cards in with . npm package . Distributed as CLI + MCP server + Claude Code plugin + VS Code extension + Pi extension. Build has a known TS error ( optional dep). Ignore it — it compiles fine for distribution. If you add a new MCP tool:
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
"name": "neo4j-skills", "description": "Agent skills for Neo4j \u2014 Cypher queries, graph modeling, drivers, imports, GraphRAG, GDS, vector indexes, Aura provisioning, and more.", "email": "devrel@neo4j.com"
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.
Production-grade geospatial workflows with an open-first stack and pragmatic hosted/SaaS choices when global scale, latency, SLA, or data quality makes local processing a poor fit. Cloud-native by default: STAC for discovery, GeoParquet + COG + PMTiles for storage, DuckDB and PostGIS for compute, Ma
"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explo
"description": "Beacon — semantic code search for Claude Code", "repository": "https://github.com/sagarmk/Claude-Code-Beacon-Plugin", "homepage": "https://github.com/sagarmk/Claude-Code-Beacon-Plugin",
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.
"source": "./plugin", "description": "qrec session recall engine",
"name": "claude-mnemonic", "version": "v0.11.57-dirty", "description": "Persistent memory system for Claude Code with SQLite, FTS5, and vector search",
"mcpName": "io.github.arikusi/nakkas", "description": "MCP server that turns AI into an SVG artist. One rendering engine, AI decides everything.", "main": "./dist/index.js",
Obvec transforms Obsidian vaults into AI-searchable knowledge bases using Cloudflare Vectorize and serverless Workers, enabling developers and knowledge workers to query their notes with AI-powered semantic search through Claude.
"description": "Agent skills for all Upstash SDKs — QStash, Vector, Workflow, Ratelimit, Search, Redis, and Box.", "email": "support@upstash.com" "homepage": "https://upstash.com",
"name": "rag-skills", "description": "Agent skills for RAG (Retrieval Augmented Generation): chunking strategies (sliding window, semantic, hierarchical), retrieval strategies (HyDE, CRAG, Self-RAG, Graph RAG, adaptive, multi-pass), vector database setup (Qdrant), data type handling (code, multimoda
"name": "claude-local-docs", "version": "1.0.23", "description": "Local-first Context7 alternative — indexes JS/TS dependency docs with a 4-stage RAG pipeline (vector + BM25 + RRF + cross-encoder reranking). Uses TEI Docker containers for GPU-accelerated embeddings and reranking.",
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.
Second Brain MCP is a semantic search engine for your codebase that lets you find code by natural language queries (like "find the auth bug") instead of grep, using embeddings and local SQLite vector search. It's ideal for developers who want faster code navigation and context awareness across large projects.
A memory management system for AI agents using Qdrant vector database, enabling persistent semantic storage and retrieval of information across Claude conversations.
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.
