Ramp spent months testing managed agent APIs, open-source frameworks, and third-party platforms before concluding it would be better off building its own. The result is Laminar, an internal agent harness that took six weeks to reach a first version and now powers every agentic product at the fintech company.

“We studied the other offerings on the market and decided that we could do better, move faster, and have stronger alignment to where we want to go by building in house.”

“We studied the other offerings on the market and decided that we could do better, move faster, and have stronger alignment to where we want to go by building in house,” Sam Kronick, the Ramp engineer behind the platform, writes in the company’s engineering blog.

In Tuesday’s post, Ramp detailed how Laminar brings agent execution, sandboxing, observability, and asynchronous workflows under a single platform. The architecture caught the attention of LangChain CEO Harrison Chase, who praised several design choices in his X post, while pointing to similar work underway in LangChain’s Deep Agents.

Ramp and LangChain are approaching the problem from different directions, but both point to a bigger shift in agent infrastructure. As harnesses take on more responsibility, enterprises have to decide how much of that infrastructure they want to build and maintain themselves.

Ramp didn’t want to be locked into one model provider. It needed the flexibility to switch models based on cost, speed, and performance, along with better visibility into how its agents behaved.

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