Daytona was the infrastructure partner LangChain needed to open-source their agent and scale it to thousands of users. In just a few hours, Daytona started provisioning secure, reliable sandboxes, handling all edge cases and security complexities without any lift from Brace or his team.

This frictionless experience extends to the platform itself. For instance, rather than simply isolating every agent, it delivers granular control out of the box. Brace and his team fine‑tune access to specify which users and services may call into the sandbox, and the capabilities running agents have once inside.

With these granular permissions, LangChain prevents unauthorized activity while maintaining flexibility for complex, legitimate use cases. This control keeps security risks low and developer productivity high, delivering users the right resources without permission errors or lengthy access approvals.

Daytona provisions each environment in less than 100ms, ensuring a seamless user experience with minimal latency. And since sandboxes are built for persistent, long-running tasks, LangChain’s agent can install dependencies, modify files, and iterate on solutions without interruption. LangChain’s community contributors and users now enjoy reliable, long-duration agent workflows, making it easier to build, debug, and launch projects. The result is faster development that reduces operational costs and increases throughput.

Thanks to this reliable setup, LangChain allocates engineering hours and internal resources to the tasks that matter most: enhancing LangChain’s tools and libraries to facilitate agent testing, evals, and deployment. Because Brace and his team also configure details like CPU, RAM, and disk size limits, they optimize resource utilization without impacting performance or scalability.

These technical specs check every box on LangChain’s list. But what truly impressed Brace was Daytona's responsive assistance. As their cloud runtime platform hums in the background, their team stays hands-on through regular check-ins and swift online support.

For example, during one of their conversations, Brace and his team shared that they needed a reliable way to handle private repo access. Daytona instantly set them up with “the perfect solution,” ensuring authentication occurs outside the sandbox. Now, agents push and pull code without the risk of exfiltrating access tokens, supporting seamless data protection, more ambitious agentic workflows, and faster releases that drive innovation and agility.

“Whenever we ask the Daytona team a question, they reply quickly and walk us through our situation, even though we are an ocean apart,” Brace highlights. “The fact that they’re so engaged with our product development accelerates our development and feature launches.”

And the team doesn’t stop at attentive support. They continuously evolve the platform based on LangChain’s feedback. By actively seeking input and implementing improvements quickly, Daytona keeps LangChain focused on their core projects and pushes them further ahead in the fast-moving AI space.