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LIVE: Ambient Agents and the New Agent Inbox ft. Harrison Chase of LangChain

> Ambient agents listen to an event stream and act on it accordingly, potentially acting on multiple events at a time.

Show: Training Data · Publisher: Sequoia Capital · Host: Sonya Huang, Pat Grady

Episode URL: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI4695410539.mp3?updated=1747688161

Publish date: 2025-05-15
Duration: NAs
Default source credibility: HIGH — Sequoia partners interview frontier-lab founders + F500 AI buyers. VC-hosted — portfolio-company framing on recommendations; named guest metrics stay HIGH. Peer-tier to No Priors in quality.

  • Ambient agents listen to event streams and act on them, enabling more complex operations and scaling impact.
  • Langchain’s LandGraph framework supports ambient agents with a persistence layer for human-in-the-loop interactions.
  • An example of an ambient agent is an email agent that drafts responses or schedules meetings based on incoming emails.

Extracted quotes

# Credibility Speaker Org Timestamp Topic Quote
1 HIGH Harrison Chase (CEO) Langchain 01:19 01-ai-native-landscape Ambient agents listen to an event stream and act on it accordingly, potentially acting on multiple events at a time.
2 HIGH Harrison Chase (CEO) Langchain 01:52 01-ai-native-landscape With ambient style agents, because it’s listening to these events, it’s however many events are happening in the background, so it can be a far bigger type of number.
3 HIGH Harrison Chase (CEO) Langchain 06:50 02-corporate-tools We’ve paid a lot of attention in LandGraph, which is our agent orchestration framework, to make it good at ambient agents. In particular, we’ve paid a ton of attention to the persistence layer that backs it.

Per-quote detail

1. Harrison Chase — Langchain (01:19)

Ambient agents listen to an event stream and act on it accordingly, potentially acting on multiple events at a time.

  • Credibility: HIGH — Named exec with specific definition of ambient agents.
  • Topic tag: 01-ai-native-landscape

2. Harrison Chase — Langchain (01:52)

With ambient style agents, because it’s listening to these events, it’s however many events are happening in the background, so it can be a far bigger type of number.

  • Credibility: HIGH — Named exec with specific claim about scale of ambient agents.
  • Topic tag: 01-ai-native-landscape

3. Harrison Chase — Langchain (06:50)

We’ve paid a lot of attention in LandGraph, which is our agent orchestration framework, to make it good at ambient agents. In particular, we’ve paid a ton of attention to the persistence layer that backs it.

  • Credibility: HIGH — Named exec with specific claim about LandGraph framework.
  • Topic tag: 02-corporate-tools

Extracted 2026-04-14T20:02:39 via scripts/podcast_mine.py (MLX mlx-community/Qwen2.5-32B-Instruct-4bit).