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工具功能

  • Creates a working agent on a persistent computer with one API call
  • Supports running Hermes, OpenClaw, or custom agent images
  • Branded deployment under your own brand
  • Billed hourly per customer
  • First instance free with no credit card required

描述

Agent 37 Cloud uniquely enables the creation of persistent AI agent sandboxes with a single API call, supporting popular agents like Hermes and OpenClaw or any custom image. Ideal for developers and businesses seeking scalable, branded AI deployments without infrastructure hassle, it offers a free first instance and hourly billing from $3.44 per customer.

Agent 37 is managed hosting for persistent agents like Hermes, OpenClaw and ClaudeCode. So you don't need to run them on Mac minis or VPS yourself. One API call gives each of your customers their own always-on agent, from $3.44/mo. Founders use it to ship vertical agents to their own clients without babysitting servers.

Detailed Description

Agent 37 Cloud is a specialized platform designed to provide persistent sandbox environments for running AI agents such as Hermes, OpenClaw, or any custom agent images. Its core purpose is to simplify the deployment and management of AI agents by enabling users to create fully operational agents on persistent virtual computers with just a single API call. This allows businesses and developers to seamlessly integrate intelligent agents into their workflows or products without the complexity of managing underlying infrastructure or agent lifecycle manually. The platform’s standout feature is its ability to spin up a working agent instance that remains persistent, meaning the agent’s state and data are maintained across sessions. This persistence is critical for applications that require ongoing interactions or long-term data retention. Agent 37 Cloud supports popular agents like Hermes and OpenClaw out of the box, while also allowing users to bring their own custom agent images, providing flexibility for a wide range of AI applications. Furthermore, deployments can be branded under the user’s own brand, enabling a white-label experience that aligns with corporate identity and customer-facing products. Billing is handled on an hourly basis per customer, starting at $3.44, making it accessible for small-scale projects as well as scalable for larger deployments. Notably, the first agent instance is free and does not require a credit card to get started, lowering the barrier to entry for experimentation and initial testing. This pricing model is particularly advantageous for startups and developers who want to trial the service without upfront costs. Agent 37 Cloud is best suited for AI developers, startups, and enterprises that need reliable, persistent agent environments without investing heavily in infrastructure management. Use cases include customer support bots, automated research assistants, data processing agents, and any scenario where an AI agent must maintain continuity and state over time. Its API-driven approach makes it ideal for integration into existing software ecosystems, enabling developers to automate agent creation and management programmatically. Compared to alternatives, Agent 37 Cloud distinguishes itself by focusing on persistence and ease of deployment with a single API call, whereas many other platforms require more complex setup or do not maintain agent state persistently. The ability to run custom agent images also provides a level of customization not always available in competing services. However, users should consider that the hourly billing model might be less cost-effective for very high-volume or always-on scenarios compared to flat-rate or reserved-instance pricing models offered by some competitors. One limitation to note is that while the first instance is free, ongoing usage incurs hourly charges, which may accumulate depending on usage patterns. Additionally, since the platform is API-centric, users need some technical proficiency to integrate and manage agents effectively. There is no mention of direct integrations with popular third-party tools or platforms, so users may need to build custom connectors. Overall, Agent 37 Cloud offers a powerful, flexible solution for persistent AI agent deployment with a straightforward pricing model and strong support for custom branding and agent customization.

常见问题

What is Agent 37 Cloud?

Agent 37 Cloud is a platform that provides persistent sandbox environments for running AI agents such as Hermes, OpenClaw, or custom agent images. It allows users to create and manage working AI agents on virtual persistent computers with a simple API call.

How much does Agent 37 Cloud cost?

The service is billed hourly per customer starting at $3.44. The first agent instance is free and does not require a credit card, allowing users to try the platform without upfront payment.

Who is Agent 37 Cloud best for?

Agent 37 Cloud is ideal for AI developers, startups, and enterprises that need persistent, stateful AI agents deployed quickly and managed easily. It suits use cases like customer support bots, automated assistants, and any application requiring ongoing agent state.

What are the main features of Agent 37 Cloud?

Key features include creating a working agent on a persistent computer with one API call, support for Hermes, OpenClaw, or custom agent images, branded deployment under your own brand, hourly billing per customer, and a free first instance without credit card requirements.

Does Agent 37 Cloud offer a free trial?

Yes, the first agent instance is free to use and does not require a credit card, enabling users to test the platform before committing to paid usage.

What integrations does Agent 37 Cloud support?

Agent 37 Cloud supports running popular agents like Hermes and OpenClaw and allows users to bring their own custom agent images. It is API-driven, enabling integration into existing software ecosystems, though no specific third-party integrations are listed.

How does Agent 37 Cloud work?

Users make a single API call to create a persistent agent instance running on a virtual computer. The agent maintains its state over time, enabling continuous interactions. The platform handles infrastructure and persistence, allowing users to focus on agent functionality and integration.

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