Agent Middleware LangChain has had agent abstractions for nearly three years. There are now probably 100s of agent frameworks with the same core abstraction. They all suffer
Building LangGraph: Designing an Agent Runtime from first principles In this blog piece, you’ll learn why and how we built LangGraph for production agents—focusing on control, durability, and the core features needed to scale.
Standard message content TLDR: We’ve introduced a new view of message content that standardizes reasoning, citations, server-side tool calls, and other modern LLM features across providers. This
LangChain & LangGraph 1.0 alpha releases Today we are announcing alpha releases of v1.0 for langgraph and langchain, in both Python and JS. LangGraph is a low-level agent orchestration framework,
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
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”
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.
How Bertelsmann Built a Multi-Agent System to Empower Creatives See how one of the world’s biggest media companies leveraged LangGraph from its earliest days to build and deploy a multi-agent system to production that empowers creativity.
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
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.
