LangChain and LangGraph Agent Frameworks Reach v1.0 Milestones By Sydney Runkle and the LangChain OSS team We're releasing LangChain 1.0 and LangGraph 1.0 — our first major versions of our
LangChain raises $125M to build the platform for agent engineering We raised $125M at a $1.25B valuation to build the platform for agent engineering.
Securing your agents with authentication and authorization Agents can take action which makes proper authentication and authorization critical. Read on for how to implement and evolve agent auth.
How to turn Claude Code into a domain specific coding agent Authored by: Aliyan Ishfaq Coding agents are great at writing code that uses popular libraries on which LLMs have been heavily trained on. But point
Monte Carlo: Building Data + AI Observability Agents with LangGraph and LangSmith See how Monte Carlo built its AI Troubleshooting Agent on LangGraph and debugged with LangSmith to help data teams resolve issues faster
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.
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,
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.