The Future of AI Agents: What Will Interrupt 2027 Look Like? | Interrupt 26
Harrison Chase, Brace Sproul, and Caroline di Vittorio kicked off Day 2 of Interrupt 26 with an inside look at where AI agents are headed, the unveiling of LangChain Labs, as well as the latest features in LangSmith Fleet.
0:00 Welcome & Shoutouts
0:29 Setting the Stage: Imagining Interrupt 2027
1:22 Two Types of Agents: Long-Horizon vs. Customer Experience
2:42 The Future of Voice Agents
3:58 Why Every Agent Needs a Sandbox
4:47 The Rise of Open-Source Models
6:01 Agent Identity & Auth Patterns
7:26 Continual Learning: Model, Harness & Context Layers
10:42 Announcing LangChain Labs
11:00 Updates to LangSmith Fleet
12:39 How LangChain Builds Agents Internally
13:40 Fleet Demo: Go-to-Market Agent
19:05 Fleet Features: Tools, Channels, Governance
21:28 Closing
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/
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Chapters (14)
Welcome & Shoutouts
0:29
Setting the Stage: Imagining Interrupt 2027
1:22
Two Types of Agents: Long-Horizon vs. Customer Experience
2:42
The Future of Voice Agents
3:58
Why Every Agent Needs a Sandbox
4:47
The Rise of Open-Source Models
6:01
Agent Identity & Auth Patterns
7:26
Continual Learning: Model, Harness & Context Layers
10:42
Announcing LangChain Labs
11:00
Updates to LangSmith Fleet
12:39
How LangChain Builds Agents Internally
13:40
Fleet Demo: Go-to-Market Agent
19:05
Fleet Features: Tools, Channels, Governance
21:28
Closing
🎓
Tutor Explanation
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