Agents in the Enterprise with MongoDB | Interrupt 26

Harrison Chase sits down with CJ Desai, CEO of MongoDB, for a fireside chat at Interrupt 2026, the agent conference by LangChain. Watch their full session for a deep dive on what's actually working (and not) for enterprises building AI agents at scale, why 2025's "year of agents" prediction didn't quite pan out, and so much more.

00:00 Introduction & welcome
01:01 MongoDB's founding principles & how they apply to AI
02:47 AI is all about unstructured data - how MongoDB fits in
03:16 Adding native search, vector search & embeddings
03:41 How different customer types use MongoDB for AI
04:43 Frontier Labs: research, inference & long-term memory
05:22 AI-native companies: the ElevenLabs case study
06:16 Enterprise customers: LangChain orchestration & internal agents
07:06 The three-legged stool: LLM + data + harness layer
08:01 The LangChain x MongoDB integration story
09:37 Open ecosystem vs. hyperscaler lock-in
10:36 Adobe's agent story: making the LLM the bottleneck
11:00 Will startup, enterprise & lab use cases converge?
11:29 Three buckets of agents: employee, partner & customer-facing
12:22 Why customer-facing agents are the real prize
13:00 A large insurance company's agent journey
14:26 The real blockers: stack choice, regulations & evals
15:44 Agent stack paralysis & why 2026 feels more stable than 2025
16:46 Token costs & the ROI of coding agents
18:06 MongoDB's internal stats: 70% of code written by AI
19:37 Token budgets & the human vs. tool cost equation
21:37 Open memory & the Context Hub announcement
22:07 System of intelligence: why context & memory will get bigger
23:37 Why real-time agents can't be built on data warehouses
24:47 Headless APIs & the future of software-via-UI
25:17 CJ's SaaS procurement strategy: cutting vendors in half
27:51 Which SaaS companies are safe vs. at risk
29:08 What makes a strong moat for Gen AI-native startups
29:56 Platform mindset: when 1 + 1 is more than 2
31:39 Wrap-up & thanks

Extra resources:
• Everything we shipped at Interrupt: https://www.langchain.com/blog/interrupt-2026-overview
• Meet LangSmith Engine: https://www.langchain.com/blog/introducing-langsmith-engine
• About LangChain: https://www.langchain.com/