MCP in LangChain: Stateless Protocol, Elicitation, and More!
MCP support now lives in langchain.mcp, built on FastMCP for the 2026-07-28 spec, with elicitation handled as a LangGraph interrupt and tool lists cached.
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MCP support now lives in langchain.mcp, built on FastMCP for the 2026-07-28 spec, with elicitation handled as a LangGraph interrupt and tool lists cached.
The LaunchDarkly AI SDK is available for Python and JavaScript and is the path we recommend for every new AgentControl integration.
Connect your LangChain email agent to Slack with Novu Connect and add human-in-the-loop approval to review email drafts before sending.
The EU AI Act compliance deadline is August 2, 2026. Learn what the EU AI Act requires, and how LangSmith and LangChain OSS products help you meet each requirement.
Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.
See how Replit built their agents atop LangGraph and integrated LangSmith to pinpoint issues, improve the performance of their agents, and enable human-in-the-loop workflows.
A buyer's comparison of seven LLM evaluation tools: what each one meters, whether it scores curated datasets or live production traffic, what its license actually permits, and how much of your setup survives a switch.
A practical guide to Langfuse alternatives in 2026: what each one is licensed under, what its meter counts, who it suits, and when staying on Langfuse is the better call.
An honest comparison of seven prompt management tools in 2026: who each one is for, how versioning, promotion, and rollout actually differ, and when prompts in your repository are still the right call.
DigitalOcean Managed Agents Runtime Services (M.A.R.S.) in Private Preview brings together two products: Harness Runtime provides the managed execution environment in which agents run, persist, and scale.
Agentic AI Project | AI Data Agent | AI For Data Domain | Langchain | LangGraph | End To End AI Data Engineer Project What you will learn? This is an End-To-End 5 hours long Agentic AI Project where you will build a complete Data Agent having multiple subagents such as SQL Analyst, ETL Analyst,…
Your company just paid out a $200 refund on a $100 order. You look at the codebase and nothing is broken, nothing failed, the model didn't hallucinate. This is a classic orchestration failure.
CopilotKit's open-source stack lets you deploy autonomous AI agents — each with its own sandboxed browser, filesystem, and tool access — embedded directly inside your app. The architecture solves a real problem...
#AgenticAI #AIEngineer #AIRoadmap2026 🔗 Join the WhatsApp Community https://chat.whatsapp.com/ENnDGZ41lMYBHCApJIpzo6?mode=gi_t This is to bring together serious and like-minded learners who want to learn AI, share useful resources, discuss ideas, and grow together.
LLM applications are everywhere now, and they’re fundamentally different from traditional software. They’re non-deterministic. They hallucinate. They can fail in ways that are hard to predict or reproduce (and sometimes hilarious).
Important Claude Code skills shipped since February 2026, what each replaces, install commands, and the security problem that came with the marketplace.
Your AI agent doesn't need to be hacked to fail — sometimes a single sentence is enough. In this video, I break down the first of three guardrail layers every production AI agent needs, and show you exactly how to detect and block the most common input-side failures using Python.
Why do most multi-agent AI systems fail in production? Learn how the A2A (Agent-to-Agent) Protocol works with the help of a complete architecture walkthrough.
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