Agent37: Managed AI Hosting & Isolation

Agent37: AI hosting with isolated sandboxes for automated workflows, file processing, and external integrations.

Ai Tools · 20 Oct 2026 · 2 min read
Above Agent37: Managed AI Hosting & Isolation. Dynamic Business

Agent37 is a managed hosting platform that enables businesses and creators to deploy AI agents running on isolated sandboxes. These agents can execute workflows, connect to external tools and data, and run continuously—with billing tied to compute and storage usage rather than fixed per-seat fees. This setup addresses common challenges in AI productization, such as infrastructure overhead, inconsistent availability, and limited control over agent environments.

Key Features

  • Hosted Runtime & Isolation: Each agent runs in its own sandbox with persistent files, memory, and runtime environment. Infrastructure details such as kernel-level isolation are handled by Agent37 behind the scenes.

  • Bring-Your-Own Model Keys: Users can supply their own API keys for major models or use bundled open-source models. Model usage is metered and can be included depending on the plan.

  • Multi-Modal Capabilities: Agents can access the internet, run shell commands, execute Python scripts, scrape websites, process files (CSVs, PDFs, etc.), and generate documents. A visual file browser, full web terminal, and even a live Linux desktop are included.

  • Integrations & Automation: Over 1,000 app integrations via Composio (e.g. Gmail, Slack, GitHub). Support for scheduled tasks (cron-like), webhooks, metrics, and public ports for embedding UIs or custom front ends.

  • White-Label & API-First: Developers and businesses can use Agent37’s Cloud API to provision an always-on agent per customer. The white-label Starter Kit allows reselling agent access under one’s own brand, owning the billing relationship.

  • Data Privacy & Security: User data—prompts, terminal sessions, files—is not collected or used to train models. All data is encrypted in transit and at rest. The platform is SOC 2 Type I certified, with Type II underway.

Pricing

Dashboard Plans (fixed monthly fee)

  • Basic: $3.99/month — 1 vCPU, 4 GB RAM, 8 GB storage. Users bring their own model API keys.

  • Plus: $9.99/month — includes free models like GPT-OSS 20B & 120B, DeepSeek V4 Flash (limited bundled usage), 1 vCPU, 4 GB RAM, 12 GB storage.

  • Pro: $29.99/month — adds built-in browser (Chromium), higher resources (2 vCPU, 8 GB RAM, 20 GB storage), and prioritized support.

  • Max: $99.99/month — team-focused plan: 4 vCPU, 16 GB RAM, 40 GB storage; includes dedicated onboarding, team roles, and more AI credits.

Cloud API / Sandbox Usage (pay-as-you-go)

  • No subscription fee. Users top up a prepaid balance which is consumed by compute (per-minute while sandbox runs) and storage (from when sandbox is created until deleted).

  • Example rates include $0.0011 per vCPU-hour, $0.00096 per GB RAM-hour, and $0.00012 per GB storage-hour.

  • Always-on instances start at roughly $3.44/month for the smallest configuration.

  • Free credits: New dashboard users get some AI credits included; new cloud workspace users get a small starter credit ($5, or $1 in some instances).

Pricing is transparent, with no lock-in; users can cancel anytime or delete sandboxes to avoid future fees.

Who is it for?

  • Product Builders and SaaS Startups needing to deploy per-customer agents or assistants under their own brand. Using the white-label tools and Cloud API, they can create a scalable agent-powered product without managing infrastructure.

  • Internal Business Teams (operations, sales, customer support, HR) that require automation workflows involving tools, file processing, scheduled jobs, and external integrations. Agent37 supports using agents as digital assistants embedded in everyday tools.

  • Researchers, Developers, and AI Creators who want full environment control, real machines, and compute resources to experiment with models, tools, and custom skills, including selling Claude skills via Agent37.

  • Non-technical Founders looking for capability beyond chatbots: the platform’s visual interfaces (task boards, terminals, file browsers) allow significant power without deep engineering resources.

Agent37 may be less suited for organizations with limited requirement for always-on agents, or those strictly needing free tier usage or non-metered flat-fee compute regardless of utilization.

Final thoughts

Agent37 provides a robust middle ground between simple chatbot platforms and full infrastructure builds. By delivering persistent sandboxes, strong tooling integration, and flexible pricing, it reduces both the technical and financial friction of deploying agent-based AI. Decision-makers evaluating tools for automation or agent-powered products will find Agent37 compelling where control, privacy, and white-label opportunities matter.

Visit the official website for more.

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