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
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
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
Agent Frameworks, Runtimes, and Harnesses- oh my! There are few different open source packages we maintain: LangChain and LangGraph being the biggest ones, but DeepAgents being an increasingly popular one. I’ve
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
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
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.
Not Another Workflow Builder By Harrison Chase One of the most common requests we’ve gotten from day zero of LangChain has been a visual workflow builder. We never
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
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
