@hwchase17 Very cool, agent harnesses will be everywhere within the next week. Well done Harrison et al!

Rob Schaper posted a reply on X (Twitter) praising Harrison Chase (@hwchase17) and the LangChain team for their work on agent harnesses, predicting the concept would become widespread within days. The tweet reflects the emerging industry consensus that AI agents are architecturally composed of three layers — a model, a runtime, and a harness — a framework that Harrison Chase and LangChain have actively promoted and built products around, including DeepAgents. Chase has written publicly about distinguishing agent "harnesses" from frameworks like LangChain and runtimes like LangGraph, with harnesses serving as the orchestration layer that governs agent behavior.

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…
The challenge with agent harnesses is not only building them but distribution. If we want agent products to scale like saas, the interfaces …
Agent harnesses are spark LangSmith is databricks
Gotta love @LangChain! 🥹 Providing high quality open source agent infra DAILY Single handedly advancing the trajectory of AI
tldr: everyone is converging on the same product shape: a general harness that takes a goal, uses tools, and does knowledge work. once every…
Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…

Source: agents

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