Building Multi-Agent Applications with Deep Agents
Breaking down complex tasks across specialized agents is one of the most effective approaches to building capable AI systems. In this post, we'll show you how to build multi-agent systems with Deep Agents.
Artificial Intelligence has come a long way in recent years. From chatbots that answer questions to AI systems that compose music or create art, machines are beginning to mimic some aspects of human intelligence. But one question fascinates scientists, technologists, and the general public alike: Ca...
From Traces to Insights: Understanding Agent Behavior at Scale
Visibility is the easiest piece. The hard part is analyzing and understanding what you’re observing. I’ve spoken to teams recording 100k+ traces every single day. What are they doing with those traces? Literally nothing. Because it’s impossible to read and summarize 100,000 traces
How Remote uses LangChain and LangGraph to onboard thousands of customers with AI
Guest post written by José Mussa (Staff Software Engineer @ Remote)Remote is a fast-growing startup helping companies hire, manage, and pay employees globally from a single platform. Remote’s customers operate across many countries and regulatory environments, and they trust Remote as the system of ...
The Weaviate C# client is now generally available! This release brings a modern and intuitive API for .NET developers, making it easier than ever to build AI-powered applications.
In this post, we’ll explore when multi-agent architectures become necessary, the four main patterns we’ve observed, and how LangChain empowers you to effectively build multi-agent systems.
In software, the code documents the app. In AI, the traces do.
TL;DRIn traditional software, you read the code to understand what the app does - the decision logic lives in your codebaseIn AI agents, the code is just scaffolding - the actual decision-making happens in the model at runtimeBecause of this, the source of truth for what
Debugging is the process of finding and fixing errors. This is a critical step in software engineering, and even more critical in agent engineering. One of the key capabilities of LangSmith is tooling to debug LLM applications.Today we are doubling down on solving that problem for the new wave
Introducing LangSmith Fetch: Debug agents from your terminal
Today, we're launching LangSmith Fetch, a CLI tool that brings the full power of LangSmith tracing directly into your terminal and IDE.If you're building agents with coding tools like Claude Code or Cursor, or if you simply prefer working in the command line, you'
The Weaviate Java client v6 is now generally available! This release brings a completely redesigned API that embraces modern Java patterns, simplifies common operations, and makes working with vector databases more intuitive than ever.
1.34 introduces flat index support with RQ quantization, server-side batching improvements, new client libraries, Contextual AI integration and much more.
Executive Insights Series 01: What Happens When AI Eliminates the Easy Conversations
We’ve all been there. You’re deep in work when a colleague drops in—“Quick question, how do I export that report again?” Or your manager pings you about the latest PTO policy. These micro-interruptions—let’s call them what they are: time thieves—steal minutes that turn into hours, fragmenting focus ...
Top-Rated SaaS Financial Management Tools for K-12 Schools
Efficient and accountable financial management is nonnegotiable in today’s K-12 landscape. Outdated, traditional software packages can’t keep pace with the complex demands of modern schools. They must invest in a reliable, integrated finance system that unifies day-to-day operations, promoting effic...
The Invisible Hand of AI: How Autonomous Agents Are Quietly Reshaping Supply Chains
Supply chains are the lifeblood of global commerce, yet they remain plagued by inefficiencies—delays, stockouts, overproduction, and unpredictable disruptions. Enter autonomous AI agents, the silent orchestrators now optimizing logistics with superhuman precision. Unlike traditional software, these ...
How AI is Reshaping Creative Fields: Music, Writing & Art in the Age of Algorithms.
The Rise of AI in Creative Domains Artificial Intelligence (AI) has moved far beyond number-crunching and automation. Today, it’s playing a transformative role in traditionally human-centric fields like music, writing, and visual art. Algorithms are composing melodies, generating stories, and produc...