LangChain Blog
blog.langchain.dev/
Introducing Open SWE: An Open-Source Asynchronous Coding Agent
The use of AI in software engineering has evolved over the past two years. It started as autocomplete, then went to a copilot in an IDE, and in the fast few months has evolved to be a long running, more end-to-end agent that run asynchronously in the cloud. We believe
Deep Agents
Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Applications like “Deep Research”, “Manus”, and “Claude Code” have gotten around this limitation by
Introducing Align Evals: Streamlining LLM Application Evaluation
Align Evals is a new feature in LangSmith that helps you calibrate your evaluators to better match human preferences.
Why agent infrastructure matters
Learn why agent infrastructure is essential to handling stateful, long-running tasks — and how LangGraph Platform provides the runtime support needed to build and scale reliable agents.
LangSmith and LangGraph Platform are now available in AWS Marketplace
LangSmith and LangGraph Platform (self-hosted deployments) are now available in AWS Marketplace.
Open Deep Research
TL;DR Deep research has broken out as one of the most popular agent applications. OpenAI, Anthropic, Perplexity, and Google all have deep research products that produce comprehensive reports using various sources of context. There are also many open source implementations. We've built an open deep researcher that is simple
How to Build an Agent
Learn how to build an agent -- from choosing realistic task examples, to building the MVP to testing quality and safety, to deploying in production.