LangChain Blog

How My Agents Self-Heal in Production

I built a self-healing deployment pipeline for our GTM Agent. After every deploy, it detects regressions, triages whether the change caused them, and kicks off an agent to open a PR with a fix, with no manual intervention needed until review time.

Engineering 6 min read

Featured

The Anatomy of an Agent Harness

9 min read

How we built LangChain’s GTM Agent

10 min read

Evaluating Skills

7 min read

LangSmith CLI & Skills

2 min read

Open Models have crossed a threshold

💡TL;DR: Open models like GLM-5 and MiniMax M2.7 now match closed frontier models on core agent tasks — file operations, tool use, and instruction

6 min read

March 2026: LangChain Newsletter

It feels like spring has sprung here, and so has a new NVIDIA integration, ticket sales for Interrupt 2026, and announcing LangSmith Fleet (formerly Agent Builder).

By LangChain 4 min read

Announcing the LangChain + MongoDB Partnership: The AI Agent Stack That Runs On The Database You Already Trust

Build production AI agents on MongoDB Atlas — with vector search, persistent memory, natural-language querying, and end-to-end observability built in.

Partner Post 6 min read

Agent Evaluation Readiness Checklist

A practical checklist for agent evaluation: error analysis, dataset construction, grader design, offline & online evals, and production readiness.

17 min read

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

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

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

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

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

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

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

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