LangChain Blog

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

5 min read

Featured

Doubling down on DeepAgents

3 min read

LangChain and LangGraph Agent Frameworks Reach v1.0 Milestones

7 min read

LangChain raises $125M to build the platform for agent engineering

3 min read

Building LangGraph: Designing an Agent Runtime from first principles

15 min read

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

4 min read

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

4 min read

Agent Engineering: A New Discipline

If you’ve built an agent, you know that the delta between “it works on my machine” and “it works in production” can be huge.

5 min read

Evaluating DeepAgents CLI on Terminal Bench 2.0

By Vivek Trivedy and Eugene Yurtsev DeepAgents CLI is a coding agent built on top of the Deep Agents SDK, providing an interactive terminal interface

3 min read

Evaluating Deep Agents: Our Learnings

Over the past month at LangChain, we shipped four applications on top of the Deep Agents harness: * DeepAgents CLI: a coding agent * LangSmith Assist: an

By LangChain 7 min read

LangSmith Agent Builder now in Public Beta

Now anyone can create production ready agents without writing code, just chat. Agent Builder guides you from initial idea to deployed agent, creating detailed prompts, selecting required tools, and even creating subagents.

agent builder 6 min read

Using skills with Deep Agents

tl;dr: Anthropic recently introduced the idea of agent skills. Skills are simply folders containing a SKILL.md file along with any associated files (e.

3 min read

How agents can use filesystems for context engineering

By Nick Huang A key feature of deep agents is their access to a set of filesystem tools. Deep agents can use these tools to

7 min read

How Jimdo empower solopreneurs with AI-powered business assistance

See how Jimdo uses LangChain.js, LangGraph.js, and LangSmith to deliver personalized business insights that drive 50% more first customer contacts and 40% more overall customer activity.

Case Studies 4 min read

How ServiceNow uses LangSmith to get visibility into its customer success agents

Authors: Ganesh Srinivasan (ServiceNow), Linda Ye (LangChain), and Jake Broekhuizen (LangChain) ServiceNow is a leading digital workflow platform that helps enterprises transform service management across