Ornn: Ornn is an agent-facing skill lifecycle API — the npm registry and CLI fused into one, but for AI agent skills. Agents call Ornn directly over HTTP or MCP to search, pull, install, execute, build, upload, and share skills. It is model-agnostic, working with Claude, GPT, Gemini, or any custom runtime. Designed for agentic-system builders who want to manage reusable skills programmatically rather than hardcoding capabilities into each agent.; MCP-Chinese-Getting-Started-Guide: This guide provides a rapid introduction to the Model Context Protocol (MCP), an open-source protocol standardizing LLM interactions with external data and tools. It demonstrates building and debugging MCP servers, developing MCP clients for LLMs like DeepSeek, and integrating with Claude Desktop.
Building an agentic system where agents can discover and install new capabilities at runtime
Enhancing LLMs with real-time web search capabilities