LangChain Blog
blog.langchain.dev/
How and when to build multi-agent systems
Late last week two great blog posts were released with seemingly opposite titles. “Don’t Build Multi-Agents” by the Cognition team, and “How we built our multi-agent research system” by the Anthropic team. Despite their opposing titles, I would argue they actually have a lot in common and contain some
The Hidden Metric That Determines AI Product Success
Co-authored by Assaf Elovic and Harrison Chase. You can also find a version of this post published on Assaf's Medium. Why do some AI products explode in adoption while others struggle to gain traction? After a decade of building AI products and watching hundreds of launches across the industry, we’
Benchmarking Multi-Agent Architectures
By Will Fu-Hinthorn In this blog, we explore a few common multi-agent architectures. We discuss both the motivations and constraints of different architectures. We benchmark their performance on a variant of the Tau-bench dataset. Finally, we discuss improvements we made to our “supervisor” implementation that yielded a nearly 50% increase
Why do I need LangGraph Platform for agent deployment?
This blog dives into technical details for why agent deployment is difficult, and how we built a platform to solve those challenges (LangGraph Platform).
How Webtoon Entertainment built agentic workflows with LangGraph to scale story understanding
See how Webtoon is transforming storytelling with agent workflows built on LangGraph for content discovery to help marketing, transation, and recommendation teams.
Recap of Interrupt 2025: The AI Agent Conference by LangChain
Hear more about the product launches, keynote themes, and exciting news from our first-ever conference.
LangGraph Platform is now Generally Available: Deploy & manage long-running, stateful Agents
LangGraph Platform, our infrastructure for deploying and managing agents at scale, is now generally available. Learn how to deploy
LangSmith Incident on May 1, 2025
Requests to the US LangSmith API from both the web application and SDKs experienced an elevated error rate for 28 minutes on May 1, 2025 (starting at 14:35 UTC and ending at 15:03 UTC). During the incident window, approximately 55% of all API requests failed with a connection
How Outshift by Cisco achieved a 10x productivity boost with their Agentic AI Platform Engineer
See how Cisco Outshift built an AI Platform Engineer to boost productivity 10x, taking tasks like setting up CI/CD pipelines from a week to under an hour.
How DocentPro Built a Multi-Agent Travel Companion with LangGraph
See how DocentPro built a multi-agent system in LangGraph and traces and monitors interactions with LangSmith for their AI search itinerary agent
Catch production failures early with LangSmith Alerts
Set up real‑time notifications on error rates, run latency & feedback scores to spot failures before your customers do.
How Trellix cut log parsing time from days to minutes with LangGraph Studio and LangSmith
See how cybersecurity company Trellix used LangGraph Studio to visualize and debug agent interactions, plus LangSmith for agent evaluations
How to think about agent frameworks
TL;DR: * The hard part of building reliable agentic systems is making sure the LLM has the appropriate context at each step. This includes both controlling the exact content that goes into the LLM, as well as running the appropriate steps to generate relevant content. * Agentic systems consist of both
TAMM AI Assistant: Transforming Government Services in Abu Dhabi with LangChain and LangGraph"
See how the Abu Dhabi Government powers their government services platform with LangGraph and LangChain to achieve efficiency and precision.