agentor: Agentor is the fastest way to build and deploy long-running AI agents with durability, observability, and security. It provides features like MCP & tool security, agent-to-agent communication, serverless deployment, observability, and tool search API. With a simple Python API, you can build agents, connect tools, and serve them as APIs or deploy with Celesto.; 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.
Build and deploy a weather agent
Enhancing LLMs with real-time web search capabilities