As agents become a core part of modern apps, teams can now run them alongside their backend and database on Render without stitching together multiple point solutions

Render, the cloud for AI-native applications, today announced a major expansion of its platform that enables teams to effortlessly run AI agents inside of their production applications. The expansion introduces Render Sandboxes, Render Workflows, and Shared Filesystems, giving engineering teams the core infrastructure to build and scale agents on the same platform that already runs their APIs, databases, and background jobs. Render is already home to more than 8 million developers, with customers including OpenAI, Snyk, Fortune, BlackRock, and Base44.

Agents are rapidly becoming a core part of modern software, with companies deploying them to write code, answer customer questions, process data, and complete multi-step tasks for users. But while building an AI agent has never been easier, running one reliably and securely in production remains a challenge. Unlike traditional applications, agents need quickly-provisioned, isolated environments to run code, the ability to operate for hours or days at a time, and the resilience to recover from failures. Today, teams meet those needs by piecing together point solutions for sandboxing, workflow orchestration, and more, each requiring its own integration and ongoing maintenance. Render takes a different approach.

For years, Render has made it simple for developers to build and scale complex, multi-service applications that once required a hyperscaler and substantial operational work. Now, developers can also deploy the AI agents that operate inside their applications on the same platform, with isolated sandboxes on compute that can sustain tasks for hours, days, or months, and built-in recovery from failures. With everything in one place, teams can spend less time managing infrastructure and more time building their products.

“We’ve long been fans of Render because it enables us to move fast, and Render Sandboxes have kept that promise," said Stuart Layton, Head of Technology, FinQore. “Sandboxes are the runtime for the agents in our software factory, and they let our customers securely run custom code on our platform. All in, setting up Sandboxes was fast and easy, which meant less time solving infrastructure challenges and more time solving customer problems.”

The expansion includes three new primitives for agentic applications:

• Render Sandboxes (public beta): Every agent gets its own isolated Linux environment to install tools, edit files, and run code. Sandboxes start in under a second, scale to thousands of instances, and can run indefinitely. When an agent goes idle, its sandbox suspends automatically and stops using compute, then wakes on its own the next time it’s needed with its files and memory intact. Render bills for the CPU a sandbox actually consumes, not the CPU provisioned for it. Each one runs in its own microVM, and credential brokering, now in private beta, keeps secrets out of the sandbox entirely.
• Render Workflows (generally available): Developers define multi-step agent work as tasks in plain Python or TypeScript, and Render handles the queuing, scaling, and retries, with no worker pools to manage. Each task run gets its own compute, starts in under a second, and can run for up to 24 hours on up to 8 CPUs and 32 GB of RAM. Render now saves the result of every completed step, so if an infrastructure failure interrupts a run, it resumes where it left off without repeating model and tool calls that already succeeded. Teams pay per second for the compute they use, with no extra charge for queuing or orchestration.
• Render Shared Filesystems (early access): Shared Filesystems let fleets of agents collaborate on the same work in parallel. Sandboxes can mount the same persistent files, such as a code repository, dataset, or memory store, so agents no longer work from separate copies or rely on custom code to pass files between steps.

"The last generation of cloud infrastructure was built for web requests that finish in milliseconds. Agents can work for hours or days, and they break a lot of the assumptions the cloud has relied on for the past decade," said Anurag Goel, Founder and CEO of Render. "Right now, teams must work around that by stitching together point solutions from multiple providers. On Render, agents run right alongside the rest of your stack, so you ship them the same way you ship everything on our cloud: quickly, confidently, and at scale."

Render Sandboxes, Workflows, and Shared Filesystems work with each other and with Render's existing services, including Web Services, Postgres databases, Key Value stores, and Cron Jobs.

Render Sandboxes are available in public beta, and Render Workflows is generally available starting today. To learn more or request early access to Render Shared Filesystems, visit: render.com/shared-filesystems

About Render

Render is the AI-native cloud for application engineering teams, home to more than 8 million developers. Render makes it intuitive for teams to deploy and scale the AI agents inside their products, the long-running services behind them, and the data they depend on, with Git-based deploys, private networking, and preview environments built in. Render has raised over $260M, valuing the company at $1.5B in early 2026. Learn more at render.com.

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