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Harrison Chase comments on Ramp's custom agent harness design

1 article1 sourcesince Oct 20Last article 1h ago ·

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Harrison Chase of LangChain says he agrees with Ramp's reasons for building its own agent harness, in a post on X. He says many agents now share similar internals and cites two of Ramp's reasons: model-agnostic design and owned observability.

He also points to three patterns he highlights in Ramp's design: a harness that has grown beyond a simple while loop, sandboxes used as a tool, and non-blocking async agents as the default. Chase also says LangChain is weighing Ramp's Connectors Service as an interface for its managed deepagents.

Written by AI from the articles below · updated Oct 20, 5:19 PM ET

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Latest developmentOct 20, 5:01 PM ET
LangChain's Harrison Chase comments on Ramp's custom agent harness design

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Oct 20
  1. Harrison ChaseX
    LangChain's Harrison Chase comments on Ramp's custom agent harness design

    AIHarrison Chase of LangChain says many agents now share similar internals, and he agrees with Ramp's reasons for building its own harness: model-agnostic design and owned observability. He highlights the harness growing beyond a simple while loop, the sandbox-as-a-tool pattern, and non-blocking async agents as the default. He also points to Ramp's Connectors Service as an interface LangChain is also weighing for its managed deepagents.

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