# Run Claude Code, Codex, Hermes And OpenClaw For 95% Less: Agent37 Founder Vishnu Krishnaprasad On The Affordable Agent Sandbox

> Source: <https://startupfortune.com/run-claude-code-codex-hermes-and-openclaw-for-95-less-agent37-founder-vishnu-krishnaprasad-on-the-affordable-agent-sandbox/>
> Published: 2026-10-03 17:19:35+00:00

*"A useful agent needs a place to keep its work," says Vishnu Krishnaprasad, founder of Agent37, a cloud platform for running AI agent harnesses like Claude Code, Codex, Hermes and OpenClaw in persistent sandboxes at about 95% lower cost than other sandbox providers.*

Agent37 lets developers run any agent harness, from Claude Code and OpenAI Codex to Hermes, OpenClaw and custom agents built on the Claude Agent SDK, in cloud sandboxes that keep their files, memory and tools between sessions instead of wiping them when a task ends. We spoke with Krishnaprasad about how Agent37 runs agent harnesses at a fraction of the usual cost, how the infrastructure works, and why persistence matters.

**What is Agent37, and how does it let developers run Claude Code, Codex, Hermes or OpenClaw in the cloud?**

"Agent37 gives your AI agent its own persistent cloud sandbox. You choose a harness, such as Claude Code, Codex, Hermes or OpenClaw, and we handle the hosting. For a developer building an agent product, one API call creates a separate sandbox for each customer, with the harness already installed and running."

"Each sandbox has its own files and tools, with isolation between customers. The workspace survives across sessions, and an agent can sleep between tasks while keeping its saved data. We take care of the infrastructure around that, including starting and stopping environments, access controls, and backups. You can concentrate on what your agent does for the customer."

[Google Antigravity adds Anthropic's Claude Opus 5.5 and Sonnet 5.5](https://startupfortune.com/google-antigravity-adds-anthropics-claude-opus-55-and-sonnet-55/)

Google's Antigravity coding platform has quietly added Anthropic's Claude Opus 5.5 and Sonnet 5.5 to its model picker, but only for paying Google AI Pro and Ultra subscribers. The move puts Anthropic's newest flagship models in direct, daily competition with Google's own Gemini inside Google's own developer tool. - [Google Antigravity adds Claude Opus 5.5 support](https://startupfortune.com/google-antigravity-adds-anthropics-claude-opus-55-and-sonnet-55/) - [Claude Sonnet 5.5 now available in Antigravity](https://startupfortune.com/google-antigravity-adds-anthropics-claude-opus-55-and-sonnet-55/)

**How does Agent37 run agent sandboxes at 95% lower cost than other providers without cutting corners?**

"An always-on sandbox with 2 vCPUs and 4 GB of RAM starts at under $5 a month on Agent37. Keeping the same machine running for a month on providers like E2B or Daytona costs over $100 at their published rates. That is roughly 95% less, and it is what makes running an agent for every customer affordable."

"We buy server capacity directly from infrastructure providers and run our own hosting stack. That removes a layer of cloud markup and gives us control over the cost of delivering each sandbox."

"The other big factor is utilization. Agents tend to work in bursts, with time spent waiting for the next message or task. We share the underlying server capacity across those workloads while keeping each customer's sandbox isolated. An agent can have a persistent workspace without needing a dedicated machine running for it all day."

**Which agent harnesses can you run on Agent37, and who is it built for?**

"You can run Claude Code, OpenAI Codex, Hermes, OpenClaw, OpenCode, Pi and Grok out of the box, or bring any harness of your own, including agents built on the Claude Agent SDK, as a custom template. The appeal is being able to choose the agent software that suits your product while we handle the hosting."

"The clearest fit is a team building a product where every customer gets their own agent. That includes startups adding agents to their software and businesses offering agents under their own brand. They need separate customer workspaces and a practical way to operate them as the business grows. A small team can spend its time on the customer's workflow instead of building a hosting platform."

[Manus gave its AI agents phone numbers and wallets days after Nvidia caged them](https://startupfortune.com/manus-gave-its-ai-agents-phone-numbers-and-wallets-days-after-nvidia-caged-them/)

Manus launched Cue on September 28, giving AI agents their own phone numbers, emails, wallets and cloud computers, the same day Nvidia unveiled a safety platform built to contain rogue agents. The two launches represent opposite bets on how to handle autonomous AI. - [AI agents phone numbers and bank accounts capabilities](https://startupfortune.com/manus-gave-its-ai-agents-phone-numbers-and-wallets-days-after-nvidia-caged-them/) - [startup gives AI agents real world access tools](https://startupfortune.com/manus-gave-its-ai-agents-phone-numbers-and-wallets-days-after-nvidia-caged-them/)

**Why do AI agents need a persistent sandbox instead of one that is wiped after every task?**

"It became clear as agents started doing work that continued across sessions. Imagine an agent building a website: it creates files, installs tools, and makes changes you want to come back to tomorrow. If its workspace disappears at the end of a session, you have to rebuild that environment before the work can continue."

"A useful agent needs a place to keep its work. That is why persistent agent sandboxes matter: the files and saved context can accumulate as the agent becomes part of someone's daily workflow."

**What was the hardest technical problem in running agent harnesses persistently and reliably?**

"The hard part was making the whole lifecycle reliable. Saving files is only the starting point. You also have to think through what happens when an agent stops, wakes up, gets updated, or needs to recover after a failure."

"Each transition has to respect the customer's saved work and keep it separate from everyone else's. That takes careful engineering and testing of the failure paths. Persistence is a promise people build their own product around, so getting those transitions right matters as much as getting the first task to run."

**What has the response been like since Agent37's launch?**

"The response has been encouraging. Agent37 now powers agents for more than 100 companies. The most useful feedback comes from seeing what those teams can ship."

"Boon, for example, builds grant fundraising workflows for nonprofits. After spending months building its own hosting setup, the team got per-client Hermes agents running on Agent37 in a few days. That is the kind of result we care about: a team with a useful agent can put it in customers' hands without spending months on the infrastructure around it."

**Where do you see Agent37 heading over the next year?**

"I want a small team to be able to give every customer a capable agent without needing an infrastructure team of its own. That means making it easier to run any agent harness, supporting the harnesses developers choose, and making it simpler to connect agents to the tools their customers already use."

"Affordability stays central to that. If a product needs an agent for every customer, the cost of keeping those sandboxes running affects what the team can offer. Our direction is to make that model practical for more builders."

**What's one piece of advice you'd give another founder building infrastructure for AI agents?**

"Pick a specific customer and a recurring problem, then get close enough to understand what fails in their real workflow. You learn a lot from helping someone run an agent for a month: what needs to persist, what they struggle to operate, and what they are willing to pay for."

"Solve that problem well before broadening the product. This space moves quickly, but a clear understanding of the customer gives you a much better way to decide what to build next."

With more than 100 companies already running agents on the platform, Agent37's bet is that cost and persistence will decide who gets to build agent products at scale. Teams looking for an [Affordable Sandbox](https://www.agent37.com/) to run Claude Code, Codex, Hermes or OpenClaw can find Agent37 at agent37.com.

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