Agent harnesses are spark LangSmith is databricks

Agent harnesses are spark LangSmith is databricks harnesses seem to be the abstraction that encapsulates all of the 'business logic' or 'business connections' into a coherent unit that you can iterate on. I think we'll see skills as an extension, skill acquisition as one, etc. we're getting past the era of 'hive on tez on hadoop…

im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing s…
here's how we're improving our base harness, you can apply these same lessons to hill-climbing for your application-specific harness!
anyways, try out deepagents https://github.com/langchain-ai/deepagents
Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…
tldr > evals are the new training data. instead of updating weights, you're updating the agent harness > problem is agents are famous cheate…
Open Harness, separated from model providers is a critical architectural pattern.

Source: Harrison Chase (X) | 2026-04-10

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