Agent 37 Cloud
Agent 37 Cloud is a white-label, always-on hosted agent sandbox that provisions one persistent, isolated “computer” per customer in a single API call, with streaming responses, terminal access, files, integrations, and usage-based billing from a prepaid balance.
https://www.agent37.com/cloud?ref=producthunt
Product Information
Updated:Jun 22, 2026
What is Agent 37 Cloud
Agent 37 Cloud is a managed platform for running persistent AI agent environments (such as Hermes and OpenClaw) without having to build and maintain your own fleet of VPSs, containers, routing, or state management. Each customer can be assigned their own always-on instance—complete with its own filesystem, long-lived context, and connected tools—so you can ship an agent product under your own brand while Agent 37 handles the infrastructure. Instances launch quickly via API, expose routable endpoints (e.g., https://{id}.agent37.app), and can be configured to use your own model keys or metered models with spend caps.
Key Features of Agent 37 Cloud
Agent 37 Cloud is a managed platform for provisioning persistent, always-on “agent instances” (isolated sandboxes) per customer via a simple API. Each instance comes with routable URLs, a clean REST interface (including streaming via SSE), and production-oriented controls like prepaid usage-based billing, per-instance spend caps, and kernel-level isolation (gVisor). It supports templates such as Hermes and OpenClaw (plus custom Docker images), enables integrations with 1,000+ apps, and provides operational capabilities like file transfer, command execution, scheduled runs, and embeddable terminal/desktop/file browser—so teams can ship white-labeled agent products without running their own VPS/container infrastructure.
One-POST provisioning for persistent agent computers: Create an always-on instance per customer with a single API call; the instance retains files, memory/history, and connected tools until you delete it.
Managed routing & authenticated access per instance: Every instance is reachable at https://{id}.agent37.app with ports already routed and protected via your API key or signed URLs—no DNS, reverse proxy, or certificates to manage.
Streaming agent responses and tool activity (SSE): Run turns via POST /v1/responses and stream text/reasoning/tool events live over Server-Sent Events; reuse session_id to continue threads without resending full history.
Templates + custom Docker images: Start from ready templates like Hermes (chat/browsing/code/files) or OpenClaw (channels-and-models agent), or register and expose ports from your own custom Docker image.
Integrations, files, shell commands, and scheduled runs: Connect to 1,000+ apps (e.g., Gmail/Slack/Notion), upload/download files, run shell commands inside the instance, and schedule unattended cron-style executions.
Production controls: isolation, metering, and BYOK models: Instances run with kernel-level isolation (gVisor) and disk quotas; pricing is compute-based from a prepaid balance, with optional model metering and per-instance spend caps (bring your own model keys or use metered models).
Use Cases of Agent 37 Cloud
SaaS vendors offering a dedicated agent per tenant: Provision one persistent instance per customer so each tenant has its own long-lived agent with retained context, files, and connected accounts—without building multi-tenant state management and hosting.
Agencies white-labeling automations for clients: Package repeatable agent workflows (prompts, skills, integration packs) under your brand while Agent 37 handles provisioning, isolation, routing, and cost tracking per client.
Customer support and ops copilots with tool access: Run always-on agents connected to Slack/Gmail/Notion and other tools to triage requests, draft replies, update internal docs, and execute operational checklists on a schedule.
Developer sandboxes for building and debugging agent workflows: Use the hosted terminal/desktop/file browser and command execution to iterate on agent code and integrations in an inspectable cloud environment, then template it for reuse.
Ecommerce and marketing automation runners: Deploy persistent agents that monitor inboxes/leads, perform research, generate content drafts, and push updates into CRMs or marketing tools using pre-wired integrations and scheduled runs.
Internal “always-on” task agents for small teams: Give each team or function a dedicated instance (e.g., finance ops, recruiting ops) that runs recurring tasks, maintains working files, and provides streamed status updates to your app.
Pros
Fast time-to-production: provision persistent instances and talk to them via a managed REST + streaming API without running your own VPS/container stack.
White-label friendly: customers interact with your product while instances stay isolated per customer with routable URLs and authenticated access.
Cost transparency: compute-based, prepaid hourly billing with per-instance spend caps; delete anytime with prorated balance returns.
Cons
Operational interruptions may occur due to platform updates/reboots (noted as part of weekly updates for instances).
Security/compliance details may be less documented than enterprise platforms, which can be a concern when agents run with full shell access and external API keys.
How to Use Agent 37 Cloud
1) Create an Agent 37 Cloud API key: In the Agent 37 dashboard, mint an API key (sk_live_...). Copy it immediately (it’s shown once). You’ll send it as a Bearer token on every request.
2) Provision a new persistent instance (one per customer): POST to the Agent 37 Cloud control plane to create an instance from a template (e.g., Hermes/OpenClaw) and choose resources (cpu, memory, disk). Example: curl https://api.agent37.com/v1/instances -H "Authorization: Bearer sk_live_..." -d '{"template":"agent37-hermes","resources":{"cpu":2,"memory":4,"disk":6}}'
3) Capture the instance id and default routed URL: From the create-instance response, store the instance id (e.g., ab12cd34ef) and the default port URL (e.g., https://ab12cd34ef.agent37.app). This instance URL is what you talk to next.
4) Start a conversation turn on the instance via REST: Send a POST to the instance’s /v1/responses endpoint with your input. The instance is always-on and keeps its own state (files, memory, connected tools) until you delete it.
5) Enable streaming (Server-Sent Events) when you want live output: Set stream: true on POST /v1/responses to receive SSE events as the agent produces text, reasoning, tool calls, and final answers.
6) Reuse session_id to continue the same thread: Persist the session_id returned by the instance and reuse it on subsequent calls so you only send new user input. The agent keeps the full history on the instance.
7) Run multiple sessions against the same instance when needed: Use the same instance for many sessions (or many threads) while keeping the instance’s persistent filesystem, memory, and integrations intact for that customer.
8) Choose how models are billed: BYOK or metered through Agent 37: Either bring your own model provider keys (BYOK) or use models through Agent 37’s gateway. When using the gateway, apply per-instance spend caps to control costs.
9) Use templates (Hermes, OpenClaw, or Custom Docker) to match your product: Pick a built-in template (Hermes for chat/browsing/code/files; OpenClaw for channels-and-models agent hosting) or register a public Docker image as a custom template and expose the ports you want routed.
10) Add integrations (Gmail/Slack/Notion/1000+ apps) for tool access: Connect third-party apps (via the platform’s integrations) so your instance can act through those tools; integrations are routed and can be metered.
11) Upload/download files to support real workflows: Use the platform’s file capabilities to send documents into an instance and retrieve artifacts the agent generates, directly from your backend.
12) Execute shell commands inside the instance from your backend: Use the run-commands capability to execute arbitrary shell commands within the sandbox, enabling installs, scripts, and automation steps without managing your own VPS.
13) Schedule unattended runs (cron-style): Assign a schedule to an agent so it runs automatically; later, read the results via the instance API.
14) Embed operator tools (terminal/desktop/file browser) with signed URLs: When you need human operators to inspect or intervene, embed a live terminal, desktop, or file browser using signed URLs so customers still only see your product.
15) Scale resources or disk as customer needs grow: Increase CPU/RAM for heavier workloads (e.g., heavy browser use or many agents) and expand disk as needed; pricing is compute-based and disk is expandable per GB.
16) White-label your agent product: Front the instance with your own product UX. Customers interact with your app while Agent 37 provides kernel-isolated sandboxes (gVisor), routing, and the REST API behind your key or signed URLs.
17) Delete an instance when a customer churns or you no longer need it: Remove the instance to stop ongoing compute charges. Billing is usage-based from a prepaid balance and is prorated to the hour; unused prepaid time returns to your balance.
Agent 37 Cloud FAQs
Agent 37 Cloud is a hosted platform for running persistent, always-on agent “instances” (sandboxes) for Hermes, OpenClaw, or custom Docker templates. Each instance is a dedicated environment with its own files, memory, tools, and API endpoint that stays available until you delete it.
Agent 37 Cloud Video
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