January 2026: LangChain Newsletter Read about the latest product updates, events, and content from the LangChain team
Context Management for Deep Agents By Chester Curme and Mason Daugherty As the addressable task length of AI agents continues to grow, effective context management becomes critical to prevent context
Deploy agents instantly with Agent Builder templates Introducing the Agent Builder Template Library: a collection of ready-to-deploy agents for common tasks, equipped with the tools you already use.
Building Multi-Agent Applications with Deep Agents Breaking down complex tasks across specialized agents is one of the most effective approaches to building capable AI systems. In this post, we'll show you how to build multi-agent systems with Deep Agents.
From Traces to Insights: Understanding Agent Behavior at Scale Visibility is the easiest piece. The hard part is analyzing and understanding what you’re observing. I’ve spoken to teams recording 100k+ traces every
How Remote uses LangChain and LangGraph to onboard thousands of customers with AI Guest post written by José Mussa (Staff Software Engineer @ Remote) Remote is a fast-growing startup helping companies hire, manage, and pay employees globally from a
Choosing the Right Multi-Agent Architecture In this post, we’ll explore when multi-agent architectures become necessary, the four main patterns we’ve observed, and how LangChain empowers you to effectively build multi-agent systems.
Now GA: LangSmith Agent Builder LangSmith Agent Builder is now generally available—enabling anyone to build agents for complex daily tasks, without writing code.
In software, the code documents the app. In AI, the traces do. TL;DR * In traditional software, you read the code to understand what the app does - the decision logic lives in your codebase * In AI
Fastweb + Vodafone: Transforming Customer Experience with AI Agents using LangGraph and LangSmith See how Fastweb + Vodafone revolutionized customer service and call center operations with their agents, Super TOBi and Super Agent.
Debugging Deep Agents with LangSmith Debugging is the process of finding and fixing errors. This is a critical step in software engineering, and even more critical in agent engineering. One
Introducing LangSmith Fetch: Debug agents from your terminal Today, we're launching LangSmith Fetch, a CLI tool that brings the full power of LangSmith tracing directly into your terminal and IDE. If
Introducing Polly: Your AI Agent Engineer Today, we're launching Polly: an AI-powered assistant built directly into LangSmith that helps you debug, analyze, and improve your agents. And yes, we
