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Harrison Chase

05/07/25

@ Sequoia Capital

Building Langmith focuses on providing visibility and observability for long-running agents, which is crucial for correcting mistakes and managing complex tasks.

Video

Ambient Agents and the New Agent Inbox ft. Harrison Chase

@ Sequoia Capital

Ambient Agents and the New Agent Inbox ft. Harrison Chase

05/07/25

Related Takeaways

Harrison Chase

05/28/25

@ LangChain

Great evaluations start with great observability, and in LangSmith, we ensure that tracing captures all inputs, outputs, and steps to facilitate thorough evaluations.

Harrison Chase

05/07/25

@ Sequoia Capital

Langraph, the agent orchestration framework, is designed to support ambient agents by ensuring persistence of state, allowing users to modify agent actions at any time.

Y Combinator Cast

10/18/24

@ Y Combinator

Debugging AI agents is challenging due to the complexity of visualizing their processes, which often leads to difficulties in understanding their behavior.

Harrison Chase

05/07/25

@ Sequoia Capital

Ambient agents allow for scalability, enabling thousands of them to run in the background, which significantly increases our impact.

Anthropic Cast

06/11/25

@ Anthropic

With the background agent, we aim to simplify the process for developers to create environments where the model can run tests and make it repeatable, allowing for quick updates as code states change.

Y Combinator Cast

04/08/25

@ Y Combinator

Manus utilizes a technique called chain of thought injection, allowing agents to actively reflect and update their plans, enhancing stability and reasoning capabilities during complex tasks.

Y Combinator Cast

01/24/25

@ Y Combinator

By allowing models to think longer, large language models can leverage more compute on the fly, enhancing their intelligence for complex problems.

Anthropic Cast

06/11/25

@ Anthropic

In large codebases, the complexity of dependencies can hinder the model's ability to run tests effectively, which is a significant challenge we are addressing with the background agent.

a16z Cast

05/02/25

@ a16z

AI agents are often defined as systems that perform complex planning and interact with external systems, but this definition overlaps with many current language models.