How to Use Memory in Agent Builder By Jacob Talbot Agent Builder gets better the more you use it because it remembers your feedback. Every correction you make, preference you share, and
New in Agent Builder: all new agent chat, file uploads + tool registry Today, we're expanding what you can do with LangSmith Agent Builder. It’s an big update built around a simple idea: working with
monday Service + LangSmith: Building a Code-First Evaluation Strategy from Day 1 Learn how monday Service developed an eval-driven development framework for their customer-facing service agents.
Improving Deep Agents with harness engineering TLDR: Our coding agent went from Top 30 to Top 5 on Terminal Bench 2.0. We only changed the harness. Here’s our approach
On Agent Frameworks and Agent Observability Every time LLMs get better, the same question comes back: "Do you still need an agent framework?" It's a fair question.
Join us for Interrupt: The Agent Conference Interrupt - The Agent Conference by LangChain - is where builders come to learn what's actually working in production. This year, we'
The two patterns by which agents connect sandboxes Thank you to Nuno Campos from Witan Labs, Tomas Beran and Mikayel Harutyunyan from E2B, Jonathan Wall from Runloop, and Ben Guo from Zo Computer
LangSmith is Now Available in Google Cloud Marketplace Today, we're thrilled to announce that LangSmith, the agent engineering platform from LangChain, is available in Google Cloud Marketplace. Google Cloud customers can
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.
