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Harrison Chase on Deep Agents, LangSmith, and Earning Trust

NVIDIA AI Podcast (Harrison Chase) · youtube.com

Harrison Chase on Deep Agents, LangSmith, and Earning Trust

The emerging alternative: one deep long-running agent instead of many shallow ones.

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It answers 2 questions

  1. Should I build one agent or a team of agents working together?
  2. Should I put an AI agent in my product, or is a simple workflow enough?

Read with it

  1. The contrarian essay from the Devin team that reset the industry's defaults. cognition.com Article Don't Build Multi-Agents Walden Yan (Cognition)
  2. The thread version of the argument, with the mistakes he keeps seeing. x.com Thread Walden Yan: principles for building agents Walden Yan
  3. The honest update: some multi-agent setups now work, most sexy ideas still don't. x.com Thread Walden Yan: a year later, what changed Walden Yan
  4. The follow-up naming the specific multi-agent patterns that survived production. cognition.com Article Multi-Agents: What's Actually Working Cognition
  5. The other side of the debate: a 90% performance gain, at 15x the tokens. anthropic.com Article How we built our multi-agent research system Anthropic
  6. Anthropic's own decision rules for graduating beyond a single agent. claude.com Article When to use multi-agent systems (and when not to) Anthropic
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