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Implementing deepagents: a technical walkthrough
We recently released `deepagents`, a Python package making it easier to build "Deep Agents". This comes with built in sub agent support, a planning tool, a virtual file system, and detailed prompts...
What are Deep Agents?
Using an LLM to call tools in a loop is the simplest form of an agent. This architecture, however, can yield agents that are “shallow” and fail to plan and act over longer, more complex tasks. Appl...
Introducing Align Evals: Streamlining LLM Application Evaluation 🚀
Evaluations are a key technique for improving your application — whether you’re working on a single prompt or a complex agent. Iterating on evaluators has often involved a lot of guesswork. With ...
How to apply context engineering
Agents need context (e.g., instructions, external knowledge, tool feedback) to perform tasks. Context engineering is the art and science of filling the context window with just the right informatio...
Open Deep Research
Open Deep Research is an open source agent that is built on LangGraph and can be hooked up to your own data sources, LLMs, and MCP servers. In this video, we walk through the agent’s architecture a...
Context Engineering for Agents
Agents need context (e.g., instructions, external knowledge, tool feedback) to perform tasks. Context engineering is the art and science of filling the context window with just the right informatio...
LangGraph Assistants: Building Configurable AI Agents
Note: LangGraph Platform is now LangSmith Deployment. LangGraph Studio is now LangSmith Studio. Learn how to build scalable AI agent systems with LangGraph Assistants, a powerful approach that sep...
How Prosper Cut QA Costs by 90% for Financial Services with LangGraph Agents
Learn how Prosper Marketplace transformed their customer call QA process for financial services using LangGraph, reducing verification costs from tens of dollars to cents per call. In this video, s...
Building a multi-modal researcher with Gemini 2.5
The Gemini 2.5 series of models from Google has been at the top of leaderboards for many tasks with strong reasoning, coding, and multi-modal capabilities. In this video, we show how to take advant...
How to Build an Agent with Auth and Payments - LangGraph.js
Build a Complete AgentChat App with Auth + Payments using LangGraph.js This full-stack template includes everything you need to build and monetize an AI chat service. ⭐ Repo: https://github.com/...
How City of Hope saved clinicians 1000+ hours with HopeLLM
Sina Mehdinia, a Lead Data Scientist in the Applied AI & Data Science department at City of Hope, one of the largest and most advanced cancer research and treatment organizations in the U.S., share...
From Quora to Poe: Adam D'Angelo on Building Platforms for LLMs and Agents | LangChain Interrupt
Adam D'Angelo, co-founder and CEO of Quora, shares insights from building Poe—the AI platform that gives users access to multiple language models and agents under one subscription. He reveals surpr...
LangChain Academy New Course: Building Ambient Agents with LangGraph
Note: LangGraph Platform is now LangSmith Deployment. Our latest LangChain Academy course – Building Ambient Agents with LangGraph – is now available! Most agents today handle one request at a ti...
Getting Started with LangSmith (8/8): Dashboards
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Ge...
Getting Started with LangSmith (7/8): Automations & Online Evaluation
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Ge...
Getting Started with LangSmith (4/6): Annotation Queues
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Ge...
Getting Started with LangSmith (3/6): Datasets & Evaluations
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Ge...
Getting Started with LangSmith (2/6): Playground & Prompts
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Ge...
Getting Started with LangSmith (1/6): Tracing
- Code: https://github.com/xuro-langchain/eli5 - Learn more about LangSmith: https://www.langchain.com/langsmith/?utm_medium=social&utm_source=youtube&utm_campaign=q2-2025_onboarding-videos_co - Ge...
How Unify Built AI Research Agents at Scale with LangGraph and LangSmith
Unify scaled their AI research agents to handle 36 billion tokens monthly - here's what Connor Heggie (CTO) and Kunal Rai (Engineer) learned along the way. From initial ReAct framework experiments ...
How Rakuten AI for Business AI Builds Production-Ready Agents with LangGraph
See how Rakuten AI for Business built their internal generative AI platforms serving 70+ businesses across Japan. Learn their approach to democratizing AI development, enabling teams to create and ...
Cisco TAC’s GenAI Transformation: Building Enterprise Support Agents with LangSmith and LangGraph
Cisco's Technical Assistance Center (TAC) shares their comprehensive GenAI transformation journey, from early LLM experiments to production AI agents integrated across Cisco's product ecosystem. In...
How Pigment Built an AI-Powered Business Planning Platform with LangGraph
Discover how Pigment revolutionized enterprise planning and performance management by replacing Excel and legacy systems with AI. In this video, see how they built conversational AI and autonomous ...
Using LangGraph Studio WITHOUT building your agent on LangGraph
LangSmith and LangGraph Studio provide generally useful tooling for tracing, testing, and evaluation. They work seamlessly with LangChain and LangGraph, but many AI application don't use these fram...
Factory Co-Founder & CTO on Building Reliable AI Agents | LangChain Interrupt
Factory Co-Founder and CTO Eno Reyes reveals why the future of software development requires a fundamental shift from AI-assisted coding to fully agent-driven workflows that can deliver 5-20x produ...
No Code LangSmith Evaluations
Evaluations are critical for building and improving AI applications. But it can be challenging to get started, especially for non-technical users. Here, we show how to kick off LangSmith evaluation...
Vizient’s Healthcare AI Platform: Scaling LLM Queries with LangSmith and LangGraph
In this video, see how a healthcare AI team solved LLM rate-limiting and multi-agent orchestration challenges while building a platform to help healthcare providers analyze patient outcomes and cli...
Morningstar’s AI Assistant "Mo": Saving 30% of Analysts' Time Spent on Research with LangGraph
Morningstar's 5-person engineering team launched "Mo," their first AI research assistant, and scaled it to nearly 20 production instances serving 3,000 internal users. In this video, see how they b...
Why LLM Data Processing Pipelines Fail: UC Berkeley Research Insights | LangChain Interrupt
UC Berkeley PhD student Shreya Shankar shares research insights on why LLM data processing pipelines consistently fail in real-world applications. Based on systematic studies of developers building...
How 11x Rebuilt Their Alice Agent: From ReAct to Multi-Agent with LangGraph | LangChain Interrupt
11x's Sherwood Callaway and Keith Fearon share how they rebuilt their AI SDR Alice from scratch, detailing their architectural journey from ReAct agents to multi-agent systems using our agent stack...
How LinkedIn Built Their First AI Agent for Hiring with LangGraph | LangChain Interrupt
Discover how LinkedIn built their breakthrough AI agent for hiring in this technical deep-dive with David Tag from LinkedIn's AI team. David walks through the LangGraph-powered architecture of Link...
How BlackRock Built Production AI Agents for Asset Management with LangGraph | LangChain Interrupt
Discover how BlackRock's AI engineering team built production-ready AI agents that power the Aladdin platform, serving $11 trillion in assets across 100+ applications globally. Brennan Rosales and ...
How Modern Treasury Built AI Agents for Financial Payment Operations with LangGraph
Modern Treasury's AI Tech Lead shares how they built AI agents for payment operations using LangGraph, solving the unique challenges of financial workflows that demand auditability, human approvals...
How Harvey Built Reliable AI Agents with LangSmith & Custom Tools
Ben Liebald, who leads engineering at Harvey, discusses how they build and evaluate domain-specific AI for legal and professional services. He shares Harvey's approach to creating reliable AI syste...
How Outshift by Cisco achieved a 10x productivity boost with JARVIS, their AI Platform Engineer
Outshift by Cisco redefined platform engineering with JARVIS their GenAI-powered multi-agent system built on LangGraph. In this video, see how they eliminated developer wait times by automating CI/...
How Box Evolved from Simple AI to Agentic Systems for Enterprise | LangChain Interrupt
Box's CTO, Ben Kus, shares how their AI document extraction system hit a wall when customers brought real-world complexity—300-page documents, 500+ data fields, and OCR challenges that broke their ...
How Uber Built AI Agents That Save 21,000 Developer Hours with LangGraph | LangChain Interrupt
Hear from Sourabh Shirhatti and Matas Rastenis on Uber's Developer Platform Team in their LangChain Interrupt talk. They dive into how they're building agentic tools serving an organization of 5,00...
Learn How Monday.com Built Their AI Agent Workforce with LangGraph | LangChain Interrupt
Assaf Elovic, Head of AI at Monday.com, reveals how they achieved 100% month-over-month growth in AI usage while processing 1 billion work tasks annually. Learn why trust, not technology, is the bi...
Building Replit Agent V2 with LangSmith | LangChain Interrupt
Michele Catasta, President at Replit, joins Harrison Chase for an in-depth fireside chat about the evolution from Replit Agent V1 to V2 and the technical challenges of building autonomous coding ag...