LangChain Blog
blog.langchain.dev/
Execute Code with Sandboxes for DeepAgents
By Vivek Trivedy Today we're excited to launch Sandboxes for DeepAgents, a new set of integrations that allow you to safely execute arbitrary DeepAgent code in remote sandboxes. We currently support sandboxes from 3 of our partners: Runloop, Daytona, and Modal. Below, we dive into what you can do with
Join LangChain at AWS re:Invent 2025
If you're attending AWS re:Invent in Las Vegas this year and working on agent development, here's what we have planned that might be useful. Visit Us at Booth #524 We'll be at Booth #524 in the Venetian Expo Center, next to the Industry Pavilion, December 1-4. Our engineering team
Why We Rebuilt LangChain’s Chatbot and What We Learned
By Liam Bush Background Every successful platform needs reliable support, but we realized our own team was spending hours tracking down answers to technical questions. This friction wasn't just slowing down our engineers—it was a critical bottleneck for our users. We set out to solve this using the very
Introducing DeepAgents CLI
By Vivek Trivedy We're excited to introduce DeepAgents CLI for coding, research, and building agents with persistent memory. Now you can easily create and run custom DeepAgents directly from the terminal. It supports: * Read, write, and edit files in your project * Execute shell commands with human approval * Search the web
Introducing LangSmith’s No Code Agent Builder
By Brace Sproul and Sam Crowder Today, we’re expanding who can build agents beyond developers. While a lot of the highest volume, customer-facing agents will be built by technical teams, nearly every business user has use cases for agentic applications in their daily routines. Our new LangSmith Agent Builder
Doubling down on DeepAgents
Two months ago we wrote about Deep Agents - a term we coined for agents that are able to do complex, open ended tasks over longer time horizons. We hypothesized that there were four key elements to those agents: a planning tool, access to a filesystem, subagents, and detailed prompts.
Improve agent quality with Insights Agent and Multi-turn Evals, now in LangSmith
LangSmith's new Insights Agent and Multi-turn Evals help you understand what your agents are doing in production and whether they're accomplishing user goals.
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 open source frameworks! After years of feedback, we've updated langchain to focus on the core agent loop, provide flexibility with a new concept of middleware, and upgrade
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.
Reflections on Three Years of Building LangChain
by Harrison Chase Almost exactly 3 years ago, I pushed the first lines of code to langchain as an open source package. There was no company at the time, and no grand plan for what the project would become. A month later, ChatGPT launched, and everything for langchain changed. It