🚀 LangGraph Platform Now Supports MCP! Every deployed agent on LangGraph Platform now exposes its own MCP endpoint. Leverage your agents as tools in any client supporting streamable HTTP for MCP— no custom code or infrastructure required. 📚Docs: langchain-ai.github.io/langgraph/conc…

Had a blast filming this deep-dive on how to deploy your own Open Agent Platform instance. Full-stack, open-source, and zero black boxes. Check it out for yourself.

Now onto a passionate talk from Jake Broekhuizen from LangChain feat experiments comparing agent accuracy, cost, evals, prompts, etc chat.langchain.com

Looking forward to it!

what makes a good ai product great? boils down to four letters - CAIR - blog.langchain.dev/the-hidden-met… super insightful article from Harrison Chase and Assaf Elovic

🤖How and when to build multi-agent systems Two really good blog posts (from Anthropic & Cognition) came out last week on building (or NOT building) multi-agent systems ❌Cognition: Don’t Build Multi-Agents 📃Anthropic: How we built our multi-agent research system Despite

Context Engineering "Context engineering" is a key part of agent building. We review a few popular patterns for context engineering + explain how to use them w/ LangGraph. Blog: blog.langchain.com/context-engine… Video: youtu.be/4GiqzUHD5AA

Open Deep Research is here 🔍 We've open sourced one of the most powerful agent use cases. Built on LangGraph, Open Deep Research: • Uses a supervisor architecture to coordinate research sub-agents • Supports your own LLMs, tools, and MCP servers • Produces high-quality

🎉We're working towards `langchain` 1.0! Langchain will be the easiest place to get started building LLM apps. This 1.0 release will include: - revamped docs - general agent architectures and use cases - built on langgraph - high quality integrations Feedback? 👇