Claude Agents Power is an intelligent MCP server project that can analyze user projects and recommend a perfect team configuration composed of over 100 professional roles. It supports multiple languages, provides various professional role agents in areas such as technology, data, product, marketing, operations, finance, human resources, and executives, and can automatically download and integrate them for use in Claude.

Apple RAG MCP is a retrieval-augmented generation system that provides Apple development expertise for AI agents. It integrates official Swift documentation, design guides, and Apple Developer YouTube content, and provides accurate technical answers through AI-driven hybrid search technology.

MemoraMCP is an AI agent storage project based on the Next.js framework. It uses IPFS technology to ensure data security and verifiability, and supports self-deployment.

Octagon Deep Research MCP is a server that provides AI - driven in - depth research and analysis capabilities. By integrating advanced in - depth research agents, it offers users research functions without rate limits, fast and comprehensive. It is compatible with multiple MCP clients, including Claude Desktop, Cursor, etc., and is suitable for research needs in multiple fields such as technology, medicine, environment, and business.

PrivAgents is a privacy-first framework that combines local and cloud agents to achieve secure data processing using homomorphic encryption technology, ensuring that data remains encrypted during transmission and processing. It is suitable for sensitive scenarios such as healthcare and finance.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

MeshSeeks is an AI task-solving platform based on multi-agent parallel processing technology. By creating a specialized AI agent network, it enables the rapid decomposition and collaborative resolution of complex coding problems. The project offers 4 times the context capacity, a real-time status panel, and intelligent task coordination functions, significantly improving development efficiency (benchmark tests show a 3.64-fold speed increase).