LangGraph, every mention
27 scenes across 5 shows · ← back to LangGraph
tap a year for its mentions
Latent Space 33
the MAD Podcast 12
the Startup Ideas Podcast 4
No Priors 3
the Neon Show 2
every year every show Latent Space 33 the MAD Podcast 12 the Startup Ideas Podcast 4 No Priors 3 the Neon Show 2
Verbatim, from the transcripts: passages where LangGraph comes up on Latent Space, the MAD Podcast, the Startup Ideas Podcast, No Priors, the Neon Show
Why Startups Fails Even After Finding PMF | Prukalpa Sankar, Atlan
- ▶ 25:41 Prukalpa Sankar So customers would use, you know, name it, they would use Google ADK, or they use Lang graph, or they'd use, um, you know, something from the frontier labs and, or the hyperscalers.
Why Graph Engineering will 10x your Claude/Codex
- ▶ 13:28 Greg Isenberg I would start way simpler than you see on, on Twitter, people using LangGraph, you see people using Autogen, or some custom 4 times in the scene
Everything Gets Rebuilt: The New AI Agent Stack | Harrison Chase, LangChain
- ▶ 0:30 Matt Turck Harrison has been one of the key figures in the rise of AI infrastructure and agents from LangChain's early days as an open source framework to the broader evolution of LangGraph, DeepAgents, LangSmith, and AgentBuilder.
- ▶ 3:03 Harrison Chase And that's why we at link chain, we built lane graph, which was another framework really aimed at that kind of like.
- ▶ 14:40 Harrison Chase You know, like earlier when we were doing things with line graph, people would be like, okay, how do I add like a step to make sure that the agent does this before X? 3 times in the scene
- ▶ 29:12 Harrison Chase Like, we recognize that the open source, like, LangChain, LangGraph, DeepAgents,
- ▶ 38:25 Harrison Chase And so that's when we built line graph as a separate package. 6 times in the scene
Brex’s AI Hail Mary — With CTO James Reggio (acquired for $5B by Capital One!)
- ▶ 15:45 James Reggio So sort of multi-agent orchestration versus more like strict, uh, like, you know, single turn or, uh, like workflows, which are easier to use, like either line graph or master.
- ▶ 18:36 James Reggio And obviously this is something that can be implemented using LangGraph or Master even has the notion of these as like network switches and data.
⚡️ Building the AI Hardware Engineer with Matthias Wagner, Co-founder of Flux
- ▶ 12:07 Matthias Wagner You know, we use Langchain, Langgraph here under the hood. 2 times in the scene
- ▶ 31:17 unnamed speaker Um, you use, you said you use LandGraph, uh, LandChain.
How AI Will Disrupt India’s IT Services Industry And Its 1.5M Engineers/Year | Bhaskar Ghosh, 8VC
- ▶ 1:03:36 Bhaskar Ghosh In old school year, now old school companies like LangChain, LangFuse, LangGraph.
Context Engineering for Agents - Lance Martin, LangChain
- ▶ 0:12 Shawn Wang Uh, we are so happy to be in the remote studio with Lance Martin from Langchain, LangGraph, and everything else he does.
- ▶ 7:40 Lance Martin So langraph, for example, has this notion of state.
- ▶ 18:36 Lance Martin Um, this was a while ago, but I compared three different ways to do retrieval on all LandGraph documentation for a set of 20 coding questions related to LandGraph. 4 times in the scene
- ▶ 56:22 Shawn Wang I mean, uh, so generally, you know, um, there is one spicy take on, on this, which is like, you know, how much is Landgraf aligned with the bitter lesson? 8 times in the scene
The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
- ▶ 13:08 Alessio Fanelli That's been one of the hot topics with LandGraph and Pydantic and all that.
- ▶ 1:18:16 Shawn Wang There's Zep, which uses a graph database, just kind of open source, kind of interesting, and LangMem from LangGraph, which I would highlight. 2 times in the scene
2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ▶ 1:01:24 Shawn Wang He has now rolled it into LangGraph as, as a memory service, the same API. 2 times in the scene
The new Claude 3.5 Sonnet, Computer Use, and Building SOTA Agents — with Erik Schluntz, Anthropic
- ▶ 42:54 Shawn Wang Autogen, CrewAI, LandGraph.
Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
- ▶ 0:34 Harrison Chase Langchain, Langsmith, Langgraf, pushing on all of them, lots of cool stuff related to a lot of the stuff that we're going to talk about today, probably.
- ▶ 46:29 Harrison Chase We haven't thought about that from the perspective, like we're not trying to design LangChain or LangGraph to be friendly, but I mean, I think to be friendly for agents to write.
- ▶ 1:08:30 Harrison Chase Um, if we think about a lot of the stuff we do, I'm just thinking out loud now, but a lot of the stuff we do on agents now is through lane graph, lane graph, we would view as kind of like the code part of what defines some of these things. 3 times in the scene
- ▶ 1:23:17 Harrison Chase So at this point, Lang graph for the orchestration, Lang chain for the integrations with the different models.
- ▶ 1:23:30 Harrison Chase Lang graph is not low code. 2 times in the scene
No Priors Ep. 57 | With LangChain CEO and Co-Founder Harrison Chase
- ▶ 3:02 Harrison Chase They wanted to customize a lot of these bits, and so we've invested a lot in a lower level kind of like chaining protocol, so lane chain expression language, and then in, in a different protocol lane graph, which is one, something we're… 2 times in the scene
- ▶ 12:01 Harrison Chase And I think the things that we see making it into production and, and, and informed, um, a lot of the development of laying graph, um, is, or is something in the middle where it's like this controlled state machine type thing.