This month, Jensen Huang and Harrison talk why companies need open agent systems. Also new: our NVIDIA blueprint and a free LangSmith Sandboxes trial.
Plus, Interrupt is hitting the road to NYC and London this fall — get your tickets before they're gone.
Jensen and Harrison talk about why the future of AI will be built on open agent systems. Watch to learn how the NVIDIA NemoClaw for LangChain Deep Agents blueprint points toward a future where teams build agent systems they can own, tune, and control.
Get started with NemoClaw + Deep Agents Code →
Interrupt is coming to NYC & London!
After bringing together the agent builder community at Interrupt in San Francisco, we're taking the conference on the road to in NYC and London. Hear from industry leaders, including Harrison Chase, with speakers from JPMorganChase, Apollo, and AstraZeneca, and join hands-on workshops on building, debugging, and shipping reliable agents.
Spots are limited - register today →
LangSmith Updates
📦 LangSmith Sandboxes now offers a free trial, so you can give your agents as secure, isolated environment to run code, test changes, and complete long-running work safely. Read Sandboxes docs →
💬 LangSmith Fleet: Bring agents into Slack with one click. Tag agents in channels, handle follow-ups and HITL approvals in threads, send and receive documents, and more. Read announcement →
🗣️ Voice agent tracing in LangSmith: Capture audio, STT and TTS latency, interruptions, tool calls, and more in one trace for agents built with Pipecat, LiveKit, OpenAI Realtime, and Gemini Live. Learn more →
Open Source
🧠 OpenWiki Brains: A general-purpose memory layer that turns sources like Gmail, Notion, git repos, X, Hacker News, and web search into a local wiki your agents can use and keep updated automatically. Read the blog →
🔎 Deep Agents and Harbor now provide a unified stack for evaluating agents, with isolated sandbox runs, parallel trials, and LangSmith traces that show why each agent succeeds or fails. Learn more →
🧩 RLMs in Deep Agents: Use dynamic subagents to break large-context tasks into programmatic subagent calls, helping agents reduce context rot and orchestrate work over large inputs. Read guide →
Speak the Lang
New Foundation Course: Introduction to Deep Agents
Learn how to build long-running agents for complex workflows with Deep Agents, LangChain's open-source agent harness. You'll explore what an agent harness is, how it accelerates development, and how to use LangSmith to improve your agents.
Upcoming Events
🗽 NYC · Jul 24 AWS AI Builder Lab: Clash of Agents Competition
RSVP →
🔁 Boston · Jul 27 LangChain Meetup: Loop Engineering & Open Models
RSVP →
🧠 San Francisco · Jul 28 LangChain Meetup: LLM Wikis with Cognition
RSVP →
🏎️ Las Vegas · Aug 4 High Stakes, High Speed with Elastic & Google Cloud
RSVP →
🤖 Atlanta · Silicon Valley · Boston · Multiple Dates
LangSmith Roadshow: Building Agents with Agents Join us for a half-day of technical sessions, live demos, an engineering leader spotlight, and a hands-on lab focused on building and improving agents in production.
Find your city →
What teams are building with LangChain
Schneider Electric built enterprise-grade LLMOps foundations with LangSmith across 60+ AI products, giving 200+ engineers and SMEs shared observability, evaluation, and deployment standards. Read the story →
Pendo used LangSmith to ship Novus, a product agent that turns user behavior and session replays into working code fixes, hitting a 90%+ success rate on PM-reviewed evals. Read the story →
How can you follow along with the Lang Latest? Check out our Blog, Changelog, and YouTube channel for more updates.
For any additional questions or feedback, email us at hello@langchain.dev.
