The two patterns by which agents connect sandboxes
Thank you to Nuno Campos from Witan Labs, Tomas Beran and Mikayel Harutyunyan from E2B, Jonathan Wall from Runloop, and Ben Guo from Zo Computer for their review and comments.TL;DR:More and more agents need a workspace: a computer where they can run code, install packages, and access
LangSmith is Now Available in Google Cloud Marketplace
Today, we're thrilled to announce that LangSmith, the agent engineering platform from LangChain, is available in Google Cloud Marketplace. Google Cloud customers can now procure LangSmith through their existing Google Cloud accounts, enabling seamless billing, simplified procurement, and the ability...
Memory isn't just a feature for AI applications—it's infrastructure. As agents scale, the limited loop of stateless interactions breaks down, and continuity becomes a systems problem that requires active maintenance.
Weaviate in 2025: Reliable Foundations for Agentic Systems
2025 was a defining year for us at Weaviate. Instead of chasing shiny features, we focused on an overarching goal - upgrading our infrastructure and technology in order to better support AI systems.
By Chester Curme and Mason DaughertyAs the addressable task length of AI agents continues to grow, effective context management becomes critical to prevent context rot and to manage LLMs’ finite memory constraints.The Deep Agents SDK is LangChain’s open source, batteries-included agent harness. It p...
By Chester Curme and Mason DaughertyAs the addressable task length of AI agents continues to grow, effective context management becomes critical to prevent context rot and to manage LLMs’ finite memory constraints.The Deep Agents SDK is LangChain’s open source, batteries-included agent harness. It p...
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.