Skip to content
LangChain Blog
  • Website
  • Docs
  • Case Studies
  • Harrison's In the Loop Series
  • Try LangSmith
Sign in Subscribe
How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval

How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval

Discover how Kensho, S&P Global’s AI innovation engine, leveraged LangGraph to create its Grounding framework–a unified agentic access layer solving fragmented financial data retrieval at enterprise scale.

Case Studies 4 min read

Featured

The Anatomy of an Agent Harness

The Anatomy of an Agent Harness

9 min read
How we built LangChain’s GTM Agent

How we built LangChain’s GTM Agent

10 min read
Evaluating Skills

Evaluating Skills

7 min read
LangSmith CLI & Skills

LangSmith CLI & Skills

2 min read
How we build evals for Deep Agents

How we build evals for Deep Agents

💡TLDR: The best agent evals directly measure an agent behavior we care about. Here's how we source data, create metrics, and run well-scoped,

8 min read
How Middleware Lets You Customize Your Agent Harness

How Middleware Lets You Customize Your Agent Harness

Agent harnesses are what help build an agent, they connect an LLM to its environment and let it do things. When you’re building an

5 min read
Skills in LangSmith Fleet

Skills in LangSmith Fleet

Fleet now supports shareable skills, so you equip agents across your team with knowledge for specialized tasks.

3 min read
How Moda Builds Production-Grade AI Design Agents with Deep Agents

How Moda Builds Production-Grade AI Design Agents with Deep Agents

Moda uses a multi-agent system built on Deep Agents and traced through LangSmith to let non-designers create and iterate on professional-grade visuals.

6 min read
Join LangChain at Google Cloud Next 2026

Join LangChain at Google Cloud Next 2026

If you're attending Google Cloud Next 2026 in Las Vegas this year and working on agent development, here's what we have

3 min read
Two different types of agent authorization

Two different types of agent authorization

LangSmith Fleet introduces two types of agent authorization: Assistants, which use the end user's own credentials, and Claws, which use a fixed set of credentials.

Harrison's In the Loop Series 4 min read
Introducing LangSmith Fleet

Introducing LangSmith Fleet

Agent Builder is now Fleet: a central place for all of your teams to build, use, and manage agents across the enterprise.

5 min read
Polly is generally available everywhere you work in LangSmith

Polly is generally available everywhere you work in LangSmith

Debugging agents is different from debugging anything else you've built. Traces run hundreds of steps deep, prompts span thousands of lines, and when

3 min read
Introducing LangSmith Sandboxes

Introducing LangSmith Sandboxes: Secure Code Execution for Agents

Spin up a sandbox in a single line of code with the LangSmith SDK. Now in Private Preview.

3 min read
Open SWE: An Open-Source Framework for Internal Coding Agents

Open SWE: An Open-Source Framework for Internal Coding Agents

Built on Deep Agents and LangGraph, Open SWE provides the core architectural components for internal coding agents.

7 min read
LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA

LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA

Comprehensive agent engineering platform combined with NVIDIA AI enables enterprises to build, deploy, and monitor production-grade AI agents at scale Press Release SAN FRANCISCO, March

5 min read
Introducing deploy cli

Introducing deploy cli

We’re excited to introduce the deploy cli, a new set of commands within the langgraph-cli package that makes it simple to deploy and manage

1 min read

Page 1 of 32

Load More Something went wrong with loading more posts

© LangChain Blog 2026