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We're taking Interrupt on the road this fall with two new stops in NYC and London.
🗽 NYC: September 24
🇬🇧 London: October 13
Get your tickets now! interrupt.langchain.com
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LangChain
11.2K posts
LangChain
@LangChain
Powering the Agent Development Lifecycle. Makers of LangSmith and @LangChain_OSS and @LangChain_JS.
Katılım Kasım 2022
166 Takip Edilen258K Takipçiler
Build more with LangSmith this summer.
Join our Summer AMA Series for practical walkthroughs + live Q&A with the LangChain team.
events.langchain.com/ama-series/bui…
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Get started today.
Docs: #developer-tools" target="_blank" rel="nofollow noopener">docs.langchain.com/langsmith/inte…
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Cursor, Copilot, Pi, and OpenCode tracing: Now in LangSmith.
Full session observability, no extra instrumentation.
✅Identify, group, and query any coding-agent trace with the same stable keys, regardless of which agent produced it
✅See the full run tree: turns, model calls, tools, and subagents
✅Token usage and cost per session, out of the box
Blog by @harisaiharish
langchain.com/blog/your-codi…
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Building an agent that can take action is only the first step, because reliable systems also need loops that help them complete tasks, verify their work, respond to real-world events, and improve from what happens in production.
On July 23rd, join @sydneyrunkle for a practical session on the four loops behind production-ready agents and how they work together.
events.langchain.com/webinar/the-ar…
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LangChain retweetledi
what a cool message to see :)
3 years ago when LLMs blew up, @LangChain was pretty much the only thing out there to build something cool and get a “wow” moment ✨
a chat app, a RAG app, the first agents, it was all there moving 1 million miles an hour
the dev community around ai has grown a ton since those days with new models, tooling, primitives, etc
but it’s still the same awesome feeling seeing builders like Eshwar & others in the community diving into the tooling and making cool stuff
that’s the magic of getting to work with a great open source team & community
if we can help, hit us up, the OSS team here is amazing and wants to help ❤️
Eshwar Prasad Yaddanapudi@yesprasad26
After office hours - building Agents with @LangChain #LangGraph . There’s still a couple weeks before I finish this and go into deep agents. Really appreciate the efforts from @LangChain_OSS team @Vtrivedy10 and team for everyday inspiration and insights
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@bentannyhill Listen to the full conversation on your favorite podcasting platform.
⏯️ YouTube: youtu.be/YqjR4vQwbTc?si…
🎧 Apple: podcasts.apple.com/nz/podcast/the…
🟢 Spotify: open.spotify.com/episode/5lT8hv…
YouTube
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On July 15, we’re hosting Build a Secure Computer for Your Agent, a technical webinar on sandboxed execution for agents.
We’ll walk through architecture patterns and use cases across coding agents, data analysis, and file processing.
Save your spot: events.langchain.com/register/build…
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What does production-ready infrastructure for agent execution actually require?
A secure agent computer needs to:
✅ Execute untrusted code safely
✅ Keep credentials and resources under control
✅ Give teams visibility into what ran and what it accessed
✅ Support fast iteration with reproducible environments
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LangChain retweetledi
📕LLM Wiki Webinar with @BraceSproul @devstein64 @jeffreyhuber is now on YouTube!
Two of my favorite insights from this webinar:
"Wiki as a cache" - @devstein64: basically, the purpose of a wiki is to keep things that are commonly looked up or accessed more top of mind/readily available. What goes in the wiki should be updated and organized with that in mind
"Wiki is a set of hyperlinked pages" - @jeffreyhuber. The evolution of memory (in my view) has gone from:
1. single string
2. file
3. set of files in a directory (wiki)
as you think about scaling up - as files grow, the file structure matters less, and you need links between pages. The internet is a set of hyperlinked pages - so that definitely scales!
Watch it here: youtube.com/watch?v=Lsut4T…
YouTube
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In 7 minutes, Partner Engineer Srimanth Tangedipalli shows you how to run Deep Agents Code inside a governed NemoClaw OpenShell Sandbox, with @NVIDIA Nemotron 3 Ultra served through @Baseten.
LangChain@LangChain
One command lets you set up Deep Agents Code as a governed blueprint on @NVIDIA NemoClaw, running Nemotron 3 Ultra. Keep your source, your model, and your audit trail your own. Everything you need to know. langchain.com/blog/deep-agen…
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LangChain retweetledi
see you in Boston!
LangChain@LangChain
Cooking up 5 meetups and workshops in July! RSVP: luma.com/langchain Find your city and bring a friend! 7/16 Berlin (with @Zalando and DB Engineering & Consulting) 7/21 NYC (with Clay) 7/21 London (with @sudip_kandel, @GirlsWhoML and @CopilotKit) 7/27 Boston 7/28 SF (with @Cognition) 7/30 Washington, D.C. (with @G2Xchange)
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Don't miss this!
Andrew Wong@41five
An agent that hides its work is just a confident guesser 👀 On July 14, @bromann (@LangChain) and I are showing how to build agents that actually show their work - live tool calls, reasoning steps, and trusted context from Box. No black boxes, no vibes-based answers. Come see it live👇 events.box.com/box-webinars/b…
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One command lets you set up Deep Agents Code as a governed blueprint on @NVIDIA NemoClaw, running Nemotron 3 Ultra.
Keep your source, your model, and your audit trail your own.
Everything you need to know.
langchain.com/blog/deep-agen…
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Cooking up 5 meetups and workshops in July! RSVP: luma.com/langchain
Find your city and bring a friend!
7/16 Berlin (with @Zalando and DB Engineering & Consulting)
7/21 NYC (with Clay)
7/21 London (with @sudip_kandel, @GirlsWhoML and @CopilotKit)
7/27 Boston
7/28 SF (with @Cognition)
7/30 Washington, D.C. (with @G2Xchange)
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