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Agent 37 Review

Agent 37 is a hosted platform designed for building, deploying, and monetizing autonomous AI agents, particularly those based on Claude AI models.

shipped Mar 15, 2026image-generationfreemium
Domain rating37Monthly visits858/mo
image-generationagents
Agent 37 — product screenshot

Why it matters

1Provides managed infrastructure for AI agents, eliminating server setup, Docker, or SSL configuration.
2Offers monetization features with an 80% creator payout via Stripe for AI skills.
3Deploys isolated container environments (e.g., 1 vCPU, 4GB RAM) for persistent agent execution.
4Pricing tiers start at $3.99/month for the Basic plan.

Stork’s verdict on Agent 37

Deploy and monetize Claude AI agents easily, but its narrow focus limits support for other models.

Agent 37 reviewed by Stork AI · stork.ai/en/agent-37

overview

What is Agent 37?

Agent 37 is a cloud-based AI agent deployment and monetization tool developed by Agent37 that enables AI creators, coaches, consultants, and developers to build, deploy, and monetize autonomous AI agents. It provides a managed infrastructure for hosting persistent AI agent instances, including OpenClaw and Claude AI skills, without requiring server setup or Docker. The platform offers a fully managed, isolated container environment (typically 1 vCPU + 4GB RAM) for running AI agents like OpenClaw and Hermes, complete with full terminal access, a web dashboard, and persistent execution for agent workflows. Its primary use cases include workflow automation for recurring operational tasks, creating customer-facing AI assistants, providing developer and operator tooling with persistent agents, and enabling the monetization of AI skills through built-in payment features. Agent 37 also supports SaaS vendors and agencies in offering dedicated, white-labeled agents to their clients.

features

Key Features of Agent 37

Agent 37 provides a comprehensive suite of features designed to streamline the development, deployment, and management of AI agents. These capabilities range from core infrastructure provisions to advanced integration and monetization tools, all accessible through a browser-based interface.

  • Hosted agents with a task board, web terminal (TTY), visual file browser, live Linux desktop via noVNC, and scheduled jobs.
  • Web Terminal (TTY) for package installation, configuration editing, log tailing, and script execution within the agent's environment.
  • Visual File Browser for uploading, downloading, editing, and organizing files directly within the hosted agent instance.
  • Live Linux Desktop via noVNC for real-time agent interaction and visual workflow automation.
  • 1000+ Integrations via Composio, supporting connectivity with tools such as Gmail, WhatsApp, Slack, and GitHub.
  • Isolated container environments for each instance, ensuring data privacy and secure separation of environment variables.
  • Bring Your Own API Keys (BYOK) functionality, allowing direct calls to AI providers like Anthropic and OpenAI.
  • Automatic runtime updates and security patches to maintain a secure and up-to-date agent environment.
  • White-label agent hosting capabilities for custom branding and client-specific deployments.
  • APIs for programmatic provisioning of agents and preloading of templates for standardized deployments.

use cases

Who Should Use Agent 37?

Agent 37 targets a diverse group of users, from individual AI creators to established businesses, by offering a managed platform for AI agent development and deployment. Its features cater to those seeking to automate complex workflows, provide specialized AI services, or monetize their AI expertise.

  • AI creators and developers building and selling powerful Claude AI agents, leveraging the platform's monetization features.
  • Coaches and consultants offering specialized services such as career counseling (resumes, pitch decks, LinkedIn profiles) or storytelling coaching with voice cloning.
  • Founders, traders, and operators automating workflows like web research, file processing, API-based actions, and multi-step automations.
  • SaaS vendors and agencies looking to offer dedicated, white-labeled agents per tenant or client, handling provisioning, isolation, and cost tracking.
  • Practitioners scaling expertise by hosting Claude AI skills and configurations, providing a persistent runtime environment for their AI tools.

how to use

How to Use Agent 37

Agent 37 simplifies the deployment of AI agents by providing a managed cloud environment, allowing users to launch an agent instance in under a minute. The platform abstracts away infrastructure complexities, enabling users to focus on agent logic and functionality.

  • 1Sign up for an Agent 37 account and select a suitable pricing tier (Basic, Plus, Pro, or Max).
  • 2Provision a new agent instance through the web dashboard, which typically becomes live within 30 to 60 seconds.
  • 3Access the agent's environment via the web terminal (TTY), visual file browser, or live Linux desktop (noVNC).
  • 4Install necessary packages, configure environment variables, and upload custom scripts or Claude AI skills.
  • 5Deploy custom Claude AI skills or OpenClaw instances to execute specific tasks or workflows.
  • 6Utilize built-in monetization features to package and sell agent access, with an 80% creator payout via Stripe.

pricing

Agent 37 Pricing & Plans

Agent 37 operates on a freemium model with several subscription tiers designed to accommodate varying needs for AI agent deployment and resources. The platform offers a Basic plan at $3.99/month, a Plus plan at $9.99/month, a Pro plan at $29.99/month, and a Max plan at $99.99/month. Each tier provides specific allocations of vCPU, RAM, storage, and AI credits, along with access to different features and support levels.

  • Basic: $3.99/month – Includes 1 vCPU, 4 GB RAM, 12 GB storage, $1/month in AI credits, and community support. Users are required to bring their own API keys (BYOK).
  • Plus: $9.99/month – Builds on the Basic plan, adding access to free models (GPT-OSS 20B, GPT-OSS 120B, DeepSeek V4 Flash) with usage resetting every 5 hours, and 20 GB storage.
  • Pro: $29.99/month – Includes everything in Plus, with increased resources of 2 vCPU, 8 GB RAM, 30 GB storage, $5/month in AI credits, a built-in Chromium browser, and email/chat support.
  • Max: $99.99/month – The highest tier, offering 4 vCPU, 16 GB RAM, 60 GB storage, $20/month in AI credits, dedicated onboarding (weekly call), priority support, and team management with roles.

Pros

  • +Eliminates complex server setup, Docker, and SSL configuration for AI agent deployment, offering a fully managed environment.
  • +Offers built-in monetization features with an 80% creator payout via Stripe, enabling creators to sell AI skills directly.
  • +Provides isolated container environments (1-4 vCPU, 4-16 GB RAM) ensuring data privacy, security, and persistent agent execution.
  • +Enables rapid deployment of AI agents, often in under a minute, significantly reducing time-to-market for AI solutions.
  • +Integrates with over 1000 tools via Composio, facilitating extensive workflow automation and connectivity.
  • +Includes white-label agent hosting options for custom branding, allowing agencies and SaaS vendors to resell agents with strong margins.

Cons

  • A security review from 2026 by BestClawHosting assigned a 'Basic' security score of 6.2/100, noting a lack of documented technical security details or third-party audits.
  • Concerns were raised regarding the privacy policy, which states that data may be used to improve AI models.
  • Absence of documented guardrails against runaway agent behavior was noted in security assessments.
  • Primarily focused on Claude AI skills and OpenClaw instances, potentially limiting broader AI model support compared to general-purpose platforms.
  • While offering a freemium model, advanced features and higher resource allocations are gated behind paid subscriptions starting at $3.99/month.

Similar Tools

Agent 37 vs Competitors

Agent 37 positions itself as a specialized, managed hosting solution for AI agents, particularly those built with Claude AI. It differentiates by simplifying infrastructure management and offering direct monetization capabilities, contrasting with more general-purpose AI deployment platforms or broader bot marketplaces.

1

Poe allows users to create and share AI-powered applications with millions of users, offering various bot types and monetization options.

Poe is a direct competitor as it offers a platform for creating and sharing AI agents (bots), including those based on Claude models, and provides monetization features. Unlike Agent 37's focus on hosted infrastructure for OpenClaw/Claude skills, Poe offers a broader platform for various AI-powered applications and a community marketplace for bots.

2

Replicate is a cloud platform for hosting, running, and sharing machine learning models via simple APIs, with a strong focus on open-source models and generative AI, including image generation.

Replicate is a strong competitor for developers looking to deploy and monetize AI models, including image generation. While Agent 37 specifically mentions 'OpenClaw instance' and 'Claude skills,' Replicate offers a broader range of open-source models and a pay-as-you-go billing model, similar to Agent 37's freemium approach.

3

Modal provides serverless cloud infrastructure for AI/ML developers and data scientists to deploy and scale AI models and agents without managing servers, offering fast autoscaling and GPU access.

Modal directly competes by offering hosted infrastructure for deploying AI agents and models, including support for LLMs and image generation. Its serverless approach and focus on scalable deployment for developers align with Agent 37's offering of a hosted 'OpenClaw instance' for Claude skills, though Modal supports a wider range of models and frameworks.

4

RunPod offers an AI developer cloud with on-demand GPUs and serverless compute for training, inference, and deploying AI models, emphasizing affordability and flexibility.

RunPod is a direct competitor in providing hosted infrastructure for AI workloads, including deploying AI agents and models. It offers a pay-per-second model for GPU usage, which is comparable to Agent 37's freemium and monthly subscription, and caters to developers looking for scalable and cost-effective AI deployment.

5

Anthropic Managed Agents is a managed infrastructure service from Anthropic that handles the execution environment for AI agents built with Claude, including sandboxing, long-running sessions, and tool execution.

This is a very direct competitor as Agent 37 explicitly mentions 'monetize your Claude skills with hosted infrastructure.' Anthropic's own Managed Agents provide a dedicated, managed environment for deploying Claude-based AI agents, directly addressing the same target audience and use case, with a cost structure based on API token rates plus session-hours.

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