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View original post on X: Harrison Chase· 23/100AI score23/100

LangChain's deepagents shifts harness design from deciding to offering subagents

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Harrison Chase argues that as models get smarter, agent harnesses shift from deciding for the model to offering capabilities to it. In deepagents, each subagent gets its own model, tools, and permissions, while the main loop chooses which subagents to spawn and when.

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@hwchase17

great writeup by @pirroh

harness doesn't disappear as models get smarter - it shifts from deciding to offering

in deepagents you give each subagent its own model, tools, and permissions - the main loop picks which to spawn and when

docs: https://docs.langchain.com/oss/python/deepagents/subagents

Michele Catasta@pirroh
https://x.com/i/article/2104968643021045760
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Source: Harrison Chase · x.comPublished · added here