"A clear mental model of LangChain v1: how components, agents, tools, and memory actually fit together in Python and JavaScript Real-world war stories from teams running agents to solve real-world problems (including a candid fireside chat with people from Intercom) Live walkthrough of MCP (Model Context Protocol) powering single and multi-agent systems with LangChain.js Practical demos you can run today including agents that query databases, call APIs, and coordinate across specialized roles A Q&A panel with Hunter Lovell and Sydney Runkle from LangChain"
"We're sharing three complete reference apps so you can explore the concepts hands-on: * AI Sales Analyst - Python agent that analyzes real sales data in PostgreSQL using LangChain + Azure OpenAI + MCP https://github.com/Azure-Samples/langchain-agent-python* AI Travel Agency - Multi-agent system in LangChain.js with MCP servers in Python, Node.js, Java, and .NET, deployed on Azure Container Apps https://github.com/Azure-Samples/ai-travel-agents* Serverless Burger-Order Agent - End-to-end LangChain.js agent using MCP to place orders via a real API, running on Azure Static Web Apps + Azure Functions https://github.com/Azure-Samples/mcp-agent-langchainjs"
The OSS AI Summit on December 10 brings LangChain and Microsoft together for a focused two-hour online event on LangChain v1 and production-ready agent patterns. Attendees receive a clear mental model of LangChain v1, covering components, agents, tools, and memory in Python and JavaScript. The event will share real-world operator experiences, a live MCP (Model Context Protocol) walkthrough for single and multi-agent systems, practical demos (database queries, API calls, role coordination), and a Q&A with Hunter Lovell and Sydney Runkle. Three complete reference apps are provided for hands-on exploration, spanning Python and LangChain.js with Azure deployments. The target audience includes developers moving beyond simple chatbots and architects connecting LLMs to internal systems.
Read at Codewithdan
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