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At Interrupt, we learned how LinkedIn cut time-to-interview by 60% By building a hiring agent with LangGraph. Watch the full session:

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LangChain

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14,447 görüntüleme • 2 ay önce •via X (Twitter)

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AI Dude 🇪🇺 profil fotoğrafı
AI Dude 🇪🇺2 ay önce

The most stupid idea ever! Would give a fuck about ANY company which does that! What a huge FUCK YOU to any potential employee.

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Stats Wire2 ay önce

This will save a lot of time in recruitment industry

Saeed Anwar profil fotoğrafı
Saeed Anwar2 ay önce

60% faster time-to-interview is impressive but the harder question is what happened to candidates the agent filtered out faster by the wrong criteria. How does the graph handle re-evaluation when a filtered candidate reapplies with new context?

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🚀Announcing LangGraph Studio: The first agent IDE LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes LangGraph Studio is available for free to all LangSmith users on any plan tier during its early development. Read more about it here: Watch a YouTube walkthrough: Try out LangGraph Studio for free here: Sign up for a LangSmith account:
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🚀Announcing LangGraph Studio: The first agent IDE LangGraph Studio offers a new way to develop LLM applications by providing a specialized agent IDE that enables visualization, interaction, and debugging of complex agentic applications With visual graphs and the ability to edit state, you can better understand agent workflows and iterate faster. LangGraph Studio integrates with LangSmith so you can collaborate with teammates to debug failure modes LangGraph Studio is available for free to all LangSmith users on any plan tier during its early development. Read more about it here: Watch a YouTube walkthrough: Try out LangGraph Studio for free here: Sign up for a LangSmith account:

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🔥 Hear how Cisco automated 60% of 1.8 million support cases with LangGraph, LangSmith, and LangGraph Platform 🔥 In his LangChain Interrupt talk, Carlos Pereira, Fellow & Chief Architect at Cisco, shares Cisco’s blueprint for transforming customer experience with AI agents. In this video, you’ll learn about: - How Cisco’s Customer Experience team identifies and prioritizes high-impact AI use cases - Their supervisor architecture that routes complex queries across specialized agents - How LangGraph, LangGraph Platform, and LangSmith power the development and continuous improvement of these agents Watch the video:
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🔥 Hear how Cisco automated 60% of 1.8 million support cases with LangGraph, LangSmith, and LangGraph Platform 🔥 In his LangChain Interrupt talk, Carlos Pereira, Fellow & Chief Architect at Cisco, shares Cisco’s blueprint for transforming customer experience with AI agents. In this video, you’ll learn about: - How Cisco’s Customer Experience team identifies and prioritizes high-impact AI use cases - Their supervisor architecture that routes complex queries across specialized agents - How LangGraph, LangGraph Platform, and LangSmith power the development and continuous improvement of these agents Watch the video:

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Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail
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Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a time through chat interfaces. But as models have improved, agents can now run in the background – and take on long-running, complex tasks. LangGraph is built for these “ambient agents,” with support for human-in-the-loop workflows and memory. LangGraph Platform provides the infrastructure to run these agents at scale, and LangSmith helps you observe, evaluate, and improve your agents. Together, they make it easier to build reliable, production-ready agents. In this course, you’ll: 📩 Learn the fundamentals of LangGraph and how to build your own email agent 📊 Evaluate your agent using LangSmith ✅ Add human-in-the-loop for reviews, and memory so your agent adapts over time 🚀 Deploy your agent with LangGraph Platform and connect it to Gmail

LangChain

33,192 görüntüleme • 1 yıl önce

At Interrupt, Andrew Ng sat down with Harrison Chase for a fireside chat on the future of agents. Watch the session in full.
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At Interrupt, Andrew Ng sat down with Harrison Chase for a fireside chat on the future of agents. Watch the session in full.

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🚀 Introducing LangGraph Cloud 🚀 LangGraph helps you build reliable agents that actually work. Today, we've launched LangGraph Cloud, our new infrastructure to run fault-tolerant LangGraph agents at scale. With LangGraph Cloud, you can: • Handle large workloads with horizontally-scaling servers, task queues, and built-in persistence • Debug agent failure modes and iterate quickly in a visual playground-like studio • Deploy in one-click and get integrated tracing & monitoring in LangSmith This builds on LangGraph v0.1, our latest stable release supporting diverse control flows - whether it's single- or multi-agent, hierarchal or sequential. You'll be able to create flexible agents with human-in-the-loop collaboration and first-class streaming support. We can't wait to see the agentic workflows you'll ship. LangGraph Cloud is available in closed beta today. 👉 Join the waitlist for LangGraph Cloud: ✍️ Read our blog post announcement: 📽️ Watch the video walkthrough: 🌀 Haven't tried LangGraph yet? Give it a spin here: 🙌 Check out the new LangGraph landing page:

LangChain

134,051 görüntüleme • 2 yıl önce

Andrew Ng, founder of and AI Fund, shares insights on practical AI agent development approaches. In this fireside chat with Harrison Chase at LangChain's Interrupt 2025 conference, one of AI's most respected voices shares practical approaches and tools for AI agent development. Watch the full session:
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Andrew Ng, founder of and AI Fund, shares insights on practical AI agent development approaches. In this fireside chat with Harrison Chase at LangChain's Interrupt 2025 conference, one of AI's most respected voices shares practical approaches and tools for AI agent development. Watch the full session:

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You can turn an existing LangGraph agent into a fully functional voice agent with Pipecat AI. This 17-minute walkthrough shows you exactly how to do it.

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Just announced at Interrupt! SmithDB. Agent traces have outgrown the databases built to hold them. That’s why we built SmithDB, a purpose-built distributed database for agent observability. Read the announcement from Co-Founder Ankush Gola →
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Just announced at Interrupt! SmithDB. Agent traces have outgrown the databases built to hold them. That’s why we built SmithDB, a purpose-built distributed database for agent observability. Read the announcement from Co-Founder Ankush Gola →

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we just launched agent-to-agent hiring at Hyperspell (YC F25) we're hiring engineers and your agent is your application no resume, no leetcode apply with your own agent or spin one up via SuperMe we will interview every single agent
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we just launched agent-to-agent hiring at Hyperspell (YC F25) we're hiring engineers and your agent is your application no resume, no leetcode apply with your own agent or spin one up via SuperMe we will interview every single agent

conor brennan-burke

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The Traversal team sat down with Harrison Chase for a fireside chat on what it actually takes to build an AI SRE in production. Watch the full session at
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The Traversal team sat down with Harrison Chase for a fireside chat on what it actually takes to build an AI SRE in production. Watch the full session at

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Exclusive Interview with the CEO of KRAIN AI by Crypto Data Space Jared Stauffer sat down with Rabbitcoinhole to talk about what KRAIN is building, why it matters, and how you can be a part of it. Watch the full interview here:

KRAIN AI

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How to run agent evals with Harbor Framework and LangSmith sandboxes, full traces included.
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LangChain

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.Mukil Loganathan’s Interrupt keynote on Sandboxes. In 20 minutes, you’ll learn how to run agent code safely. Isolated from your runtime, with network controls, persistent state, and snapshot/restore when things go wrong.
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HOW TO FIND CEO AND FOUNDERS WHO ARE HIRING ON LINKEDIN😳 He even made it BETTER by sharing a cheat WEBSITE!
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