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Edition Index
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Lead Story
How We Built LangChain’s Paid Media Agent
How LangChain built a paid media agent to analyze campaign performance, optimize ads, propose changes, and turn marketing data into action.
LangChain Blog / 6:13 AM
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.
LangChain Blog / 6:21 AM
Scaling Agents in Europe & The Middle East: Lessons from Schneider Electric, Vodafone, and monday.com
A guide on scaling agents in Europe & the Middle East to see how Schneider Electric, Vodafone, and monday.com are approaching production AI at scale, from establishing shared agent platforms and LLMOps practices to designing multi-agent architectures with stronger observability, evaluation, and control.
LangChain Blog / 4:53 PM
Announcing LangGraph v0.1 & LangGraph Cloud: Running agents at scale, reliably
Our new infrastructure for running agents at scale, LangGraph Cloud, is available in beta. We also have a new stable release of LangGraph.
LangChain Blog / 11:30 PM
Connections: managed credentials and per-caller identity for Managed Deep Agents
Learn how Connections in Managed Deep Agents securely manage credentials, support per-user OAuth, and let agents act with each caller’s identity.
LangChain Blog / 4:53 PM
LangSmith LLM Gateway: Runtime Controls for Agents
LangSmith LLM Gateway is in public beta: spend caps, rate limits, model fallbacks and PII redaction for production agents, without provider lock-in.
LangChain Blog / 4:53 PM
Aligning LLM-as-a-Judge with Human Preferences
Deep dive into self-improving evaluators in LangSmith, motivated by the rise of LLM-as-a-Judge evaluators plus research on few-shot learning and aligning human preferences.
LangChain Blog / 4:53 PM
LangSmith: Redesigned product homepage and Resource Tags for better organization
LangSmith's homepage is now organized into Observability, Evaluation, and Prompt Engineering. Learn why we organized the homepage like this. Plus, see our latest Resource Tags updates.
LangChain Blog / 4:53 PM
Reflections on Three Years of Building LangChain
Harrison Chase on LangChain's 3-year journey from open source to $1.25B company, announcing LangChain 1.0, LangSmith expansion, and $125M funding.
LangChain Blog / 4:53 PM
How LangSmith and LangChain OSS Help You Meet EU AI Act Requirements
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.
LangChain Blog / 4:53 PM
January 2026: LangChain Newsletter
Read about the latest product updates, events, and content from the LangChain team
LangChain Blog / 4:53 PM
LangChain's Second Birthday
Reflections on how LangChain has evolved — including our products, ecosystem, and community — over the past two years, and where we're headed next.
LangChain Blog / 4:53 PM
LangChain State of AI 2024 Report
Dive into LangSmith product usage patterns that show how the AI ecosystem and the way people are building LLM apps is evolving.
LangChain Blog / 4:15 PM
LangChain raises $125M to build the platform for agent engineering
We raised $125M at a $1.25B valuation to build the platform for agent engineering.
LangChain Blog / 4:15 PM
LangChain and NVIDIA Launch NemoClaw Deep Agents Blueprint
LangChain and NVIDIA launch the NemoClaw Deep Agents blueprint, combining Deep Agents Code, Nemotron 3 Ultra, and OpenShell for open, governed enterprise agents.
LangChain Blog / 4:15 PM
LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA
Build, deploy, and monitor production-grade AI agents at scale with LangChain's enterprise agentic AI platform integrated with NVIDIA.
LangChain Blog / 3:02 PM
Eden AI x LangChain: Harnessing LLMs, Embeddings, and AI
Access multiple LLMs, embeddings, and AI tools through Eden AI's LangChain integration. Unified API for text generation, OCR, speech-to-text, and more.
LangChain Blog / 3:02 PM
Meet Connery: An Open-Source Plugin Infrastructure for OpenGPTs and LLM apps
Discover Connery: open-source plugin infrastructure for LLM apps. Secure integrations, personalization, and human-in-the-loop control for AI agents.
LangChain Blog / 10:46 AM
Announcing our $10M seed round led by Benchmark
LangChain secures $10M seed round from Benchmark to empower developers building AI apps with our open-source framework for data-aware, agentic LLMs.
LangChain Blog / 10:46 AM
Plan-and-Execute Agents
Build reliable AI agents with Plan-and-Execute framework. Separate planning from execution for complex tasks with fewer errors.
LangChain Blog / 10:46 AM
Benchmarking Question/Answering Over CSV Data
Build better Q&A systems for CSV data using LangChain agents, retrieval, and LLM evaluation. Includes benchmarks, debugging insights, and open-source code.
LangChain Blog / 7:27 AM
Deep Agents vs LangChain vs LangGraph
Deep Agents, LangChain, and LangGraph each offer distinct approaches to building agents. In this post, we cover the key distinctions between our open source frameworks and when you should reach for each one.
LangChain Blog / 6:07 PM
Organizing Context in a Multi-Agent Harness
Learn how context modes in deepagents help subagents fork a supervisor's context or start isolated — for faster, cheaper, more focused multi-agent work.
LangChain Blog / 4:26 AM
August 2026: LangChain Newsletter — Managed Deep Agents, LLM Gateway, and More
Managed Deep Agents and LLM Gateway hit public beta, plus Deep Agents v0.7, Tuned Evaluators, Bring Your Own Cloud on AWS, and LangSmith Engine upgrades.
LangChain Blog / 4:53 PM
Introducing Interrupt: The AI Agent Conference by LangChain
Join us this May at Interrupt, LangChain’s inaugural conference where the future of AI agents takes center stage.
LangChain Blog / 4:53 PM
Pushing LangSmith to new limits with Replit Agent's complex workflows
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.
LangChain Blog / 4:53 PM
Why We Rebuilt LangChain’s Chatbot and What We Learned
Learn how LangChain rebuilt their chatbot using Deep Agents and subgraphs for sub-15-second responses with precise citations—and what you can apply.
LangChain Blog / 4:53 PM
How Podium optimized agent behavior and reduced engineering intervention by 90% with LangSmith
See how Podium tests across the lifecycle development of their AI employee agent, using LangSmith for dataset curation and finetuning. They improved agent F1 response quality to 98% and reduced the need for engineering intervention by 90%.
Latest story in this edition: 1:48 AM
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