LangGraph

product on 5 shows · 7 statements across 6 episodes · said 54 times in 12 episodes since 2024

Latent Space 33 the MAD Podcast 12 the Startup Ideas Podcast 4 No Priors 3 the Neon Show 2

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Latent Space 33the MAD Podcast 12the Startup Ideas Podcast 4No Priors 3the Neon Show 2

2026 19 mentions in 4 episodes 5 per episode
2025 23 mentions in 5 episodes 5 per episode
2024 12 mentions in 3 episodes 4 per episode

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7 statements about LangGraph, every show

MAD Insight
Chase: High reliability AI agents require structured, graph-like scaffolding workflows
“So people ended up building scaffolding around the models to make them do things in a more predictable and reliable way. And that's why we at link chain, we built lane graph, which was another framework really aimed at that kind of like. Graph like workflows a…”
Harrison Chase Mar 12, 2026 ▶ 2:56 Everything Gets Rebuilt: The New AI Agent Stack | Harrison Chase, LangChain
NEON SHOW Prediction Not checkable as stated
Ghosh: Agent Orchestration and MCP Gateways Will Be Massive Markets
“Around deploying agents and co-pilots in the enterprise is going to be a very important area. So there are at least two parts to it. One is companies which are doing orchestration of these tiers itself. In old school year, now old school companies like LangCha…”
Bhaskar Ghosh Nov 21, 2025 ▶ 1:03:24 How AI Will Disrupt India’s IT Services Industry And Its 1.5M Engineers/Year | Bhaskar Ghosh, 8VC
Lance Martin: Black-box agent abstractions break when underlying models evolve
“Agent abstractions are problematic because you don't know what's necessarily under the hood of the abstraction. You don't understand it. And if I was building, for example, you know, OpenDeep research with an abstraction, I wouldn't necessarily know how to rip…”
Lance Martin Sep 11, 2025 ▶ 58:22 Context Engineering for Agents - Lance Martin, LangChain
LATENT SPACE Disclosure
Shah: Investor in OpenAI, Perplexity, LangGraph, CrewAI, and Limitless
“Investor in OpenAI, perplexity, lane graph, crew AI, limitless, a bunch of them.”
Dharmesh Shah Mar 28, 2025 ▶ 1:19:35 The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
LATENT SPACE Disclosure
Chase: LangGraph is adding cross-thread state persistence for agent memory
“Right now they're all persistent for a single thread. [4392] We're going to add the ability to persist that between threads. [4395] So then if you basically want to scope a memory to a user ID or to an assistant or to an organization, then you can do that.”
Harrison Chase Sep 27, 2024 ▶ 1:13:10 Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
NO PRIORS Insight
Chase: AI agents fundamentally require cyclical graphs, not linear architectures
“So, you know, all these agents are basically running an LLM in a loop. You need cycles and so lane graph helps with that.”
Harrison Chase Mar 28, 2024 ▶ 3:21 No Priors Ep. 57 | With LangChain CEO and Co-Founder Harrison Chase
NO PRIORS Insight
Chase: Successful production AI agents operate as controlled state machines
“And I think the things that we see making it into production and informed a lot of the development of laying graph is, or is something in the middle where it's like this controlled state machine type thing.”
Harrison Chase Mar 28, 2024 ▶ 12:01 No Priors Ep. 57 | With LangChain CEO and Co-Founder Harrison Chase

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