Agent37 is a cloud platform for hosting AI agents in persistent, isolated environments. It gives business users the ability to spin up agent sandboxes—dedicated compute instances—with configurable resources, model integrations, and full lifecycle control. The platform is designed to offload infrastructure complexity, autonomously manage hosting, and allow decision-makers to deploy AI agents without deep DevOps expertise.
Key Features
Persistent isolated sandboxes: Each agent runs in its own container or VM with file system and memory preserved across restarts. Auto-sleep and manual stop are supported to reduce compute costs. Disk storage is persistent even when instances are sleeping.
Bring-your-own or managed models: You can connect your own model API keys or use managed integrations with OpenAI, Anthropic, Grok, Claude Code, and others. This offers flexibility in selecting providers that meet performance, privacy, and cost policies.
Full control over environments: Agent37 instances provide terminal access (SSH), hosted URLs, optional desktop or GUI tools, scheduling, backups, resizing, and network settings. Users can build custom agent workflows, background jobs, or always-on services.
Cost awareness tools: Users track resource usage in minutes, vCPU/RAM/disk consumption, and model token costs. Budget caps per sandbox help prevent runaway spending.
Security and data privacy: Agent37 isolates instances per agent; data is encrypted in transit and at rest. The service does not use prompts, responses, or instance data for training its own models. Users retain full ownership of content.
Pricing
Agent37 does not use a flat-subscription model for its cloud sandbox service; instead it bills based on prepaid usage. You top up a balance, and each sandbox consumes credits per minute for compute when running; storage (disk) continues to be billed even when the sandbox is stopped or sleeping. A starter credit of US$5 is provided when a payment method is added.
Compute rates run approximately US$0.80 per vCPU-hour, US$0.70 per GB of RAM-hour, and storage is about US$0.09 per GB-month. A 2 vCPU / 4 GB RAM instance with 4 GB disk, left running full time (24/7) for a month, costs about US$4.76; if the same instance sleeps when idle, disk costs alone (≈US$0.36/month) continue. Model, tool, and integration usage are billed separately unless you provide your own keys.
In addition to metered usage, Agent37 offers fixed subscription tiers for hosting Hermes agents. These plans are Basic at US$3.99/month, Plus at US$9.99/month, Pro at US$29.99/month, and Max at US$99.99/month. Each paid plan provides more vCPU/RAM/disk, greater support, roles or team access, and additional integrations.
Who is it for?
Agent37 is particularly well suited for software teams, product leaders, and decision-makers who need AI agents that are always-on, customer-facing, or integrated deeply into workflows without managing their own server infrastructure. Use cases include:
Agencies deploying client-specific agents for marketing, support, research, or automation tasks, where isolation per client matters.
Startups with small engineering teams that want to build and maintain agent products with low operating overhead.
Technical founders or mid-sized businesses who want scheduled or event-driven agents (cron-jobs, background agents) to perform periodic workflows or monitoring.
Organizations needing experiment environments to compare models, proxies, or tools side by side without vendor lock-in; Agent37’s support for over 200 AI models makes that practical.
Final thoughts
Agent37 delivers a powerful mix of flexibility, cost-efficiency, and control. Its per-minute metered billing removes many of the cost surprises associated with hosting AI agents continuously, especially for production systems or multiple client instances. While its feature set leans toward users with some technical capability—SSH, template configuration, API keys—it considerably lowers the barrier compared to self-hosting or managing infrastructure directly. For businesses seeking to integrate AI agents into products or services without hiring DevOps specialists, Agent37 offers a compelling option.
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