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Switch from RunPod to Agent 37 (2026 Migration Guide)

Moving OpenClaw off RunPod? Compare GPU pods vs persistent agent hosting. Step-by-step migration to Agent 37 from $3.99/mo with configs and channels.

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Move from RunPod to Agent 37 when your workload is a persistent OpenClaw operator agent, not GPU training or burst inference. RunPod bills Pods and Serverless workers per second of GPU time; Agent 37 gives always-on isolated containers with browser terminal, a task board, and Composio from $3.99/mo.
This image illustrates the migration from RunPod GPU Pod system to the Agent 37 Managed OpenClaw platform. The left side depicts the RunPod terminal interface showing GPU utilization statistics, pod details, and container logs, highlighting a complex setup requiring manual management and terminal access. The right side presents the Agent 37 dashboard with a streamlined, visually clear interface including an overview of instances, GPU status, monthly spend, recent activity, and quick action options. The migration emphasizes a shift from complex GPU pod management to a managed, simplified, one-click deploy environment suitable for enterprise use.
Teams land on RunPod because it is excellent GPU infrastructure. They stay stuck when they use a GPU Pod as a 24/7 CPU agent box and watch per-second charges accumulate while OpenClaw waits for Slack messages.

Why do teams run OpenClaw on RunPod today?

Common reasons: already have RunPod credits, copied a community template, wanted a remote Linux box fast, or confused GPU hosting with agent hosting. RunPod Pods provide root access, Docker, and persistent volumes, so OpenClaw can run there technically.
This image presents a detailed comparison table of OpenClaw hosting services offered by RunPod and Agent 37. It contrasts key attributes such as billing models (pay-as-you-go vs. monthly fee), primary use cases, always-on operational costs, OpenClaw runtime configurations, operator user interfaces, review workflow capabilities, and integration options with Composio. RunPod offers a flexible, per-second billing approach suitable for GPU training and inference with customizable setup and self-hosted workflows. Agent 37 provides a predictable monthly pricing with preconfigured OpenClaw and Hermes runtimes, built-in UI and workflows, and seamless Composio integration. This comparison is useful for professionals evaluating cloud hosting providers for AI training and inference workloads using OpenClaw and related tools.
The mismatch is economic and architectural. OpenClaw wants persistent CPU/RAM with channel connectors, not an H100 idling between WhatsApp pings.

RunPod vs Agent 37: fair comparison for OpenClaw

RunPod fits GPU training, inference, and batch jobs with per-second billing while Pods or workers run (pricing), so always-on use can add up even on cheaper GPUs. You install OpenClaw yourself on a Pod, use SSH or Jupyter templates, and wire integrations and review flows from scratch. Agent 37 fits persistent OpenClaw and Hermes agents on flat tiers at $3.99, $9.99, $29.99, and $99.99 per month per instance, with predictable monthly cost, managed runtime and patches, browser terminal, desktop, and files, task board review, and Composio for 1000+ app integrations.
RunPod Serverless Flex workers scale to zero, which is brilliant for inference endpoints and wrong for an agent that must listen to Telegram all day.

When should you migrate off RunPod?

Migrate when:
  • Your Pod runs 24/7 but GPU utilization is near zero
  • OpenClaw restarts wipe channel sessions you cannot afford to lose
  • You spend more time on Pod templates than agent skills
  • Clients ask about isolation and you are sharing one Pod
  • Monthly RunPod bill exceeds Agent 37 Pro ($29.99/mo) without GPU benefit
Stay on RunPod when you actually need GPUs for model fine-tuning, batch inference, or Serverless endpoints with burst traffic.

How do you migrate OpenClaw from RunPod to Agent 37?

Treat migration like moving offices: inventory, copy, reconnect, validate, cut over.
This image visually compares the transition from using RunPod GPU Pod, a GPU instance manager primarily designed for machine learning training, to Agent 37, a managed OpenClaw hosting service focused on CPU agent hosting. The left side shows a terminal output for GPU monitoring (nvidia-smi) with details about NVIDIA A100 GPU usage, highlighting issues such as high costs ($0.60 to $3.50 per hour), complex setup, and inefficient GPU spending. The right side showcases Agent 37's dashboard, emphasizing its features such as simple setup, managed and maintained service, and a low monthly cost starting from $3.99 without GPU requirements. Agent 37 is described as optimized for automation agents, web tasks, and integrations, offering predictable, affordable CPU agent hosting. The image is useful for documentation relating to cost optimization, infrastructure migration, and agent hosting solutions.

Step 1: Inventory what lives on the Pod

Document OpenClaw config files, skills, env vars, channel tokens, cron jobs, and any data in RunPod network volumes. RunPod charges stopped Pod storage separately (docs); export before you terminate.

Step 2: Export configs and skills

From the Pod terminal, archive .openclaw/ (or your install path), skill YAML, and integration credentials. Store secrets in a password manager, not a zip in Slack.

Step 3: Create Agent 37 instance

Pick tier by workload: Basic ($3.99/mo) for internal ops, Pro ($29.99/mo) for browser automation and client-facing reliability. Create instance at agent37.com.

Step 4: Restore and reconnect channels

Upload configs via file browser, re-enter BYOK keys, reconnect WhatsApp/Slack/Gmail through Composio per OpenClaw channel docs. Expect to re-auth OAuth integrations; plan token refresh windows.

Step 5: Validate on the task board, then cut over

Run parallel for 24 to 48 hours if possible. Queue outbound actions on the task board until outputs match Pod behavior. Update webhooks and DNS, terminate RunPod Pod to stop compute + storage bleed.

What will change after migration?

You gain predictable billing, managed runtime updates, browser operator UI, and review queues. You lose raw GPU attach unless you keep RunPod for ML jobs separately (many teams run both: Agent 37 for agents, RunPod for GPU batches).
That split is healthy. Do not force one vendor to be two products.

Migration pitfalls to avoid

  • Terminating the Pod before channel export (painful re-pairing)
  • Copying API keys into chat logs during handoff
  • Skipping task board review and repeating an embarrassing auto-send incident
  • Choosing Basic when Pro's Chromium would have saved a day of headless browser debugging
  • Assuming RunPod volume snapshots replace a real config backup

FAQ

Will I save money leaving RunPod for Agent 37?

If you run a low-end Pod 24/7 for a CPU agent, often yes. If you use GPUs heavily for ML, keep RunPod for that workload and add Agent 37 for OpenClaw ops.

Can I use RunPod and Agent 37 together?

Yes. Common pattern: Agent 37 hosts OpenClaw/Hermes operators; RunPod Serverless handles burst inference or fine-tuning jobs triggered by agent workflows.

How long does migration take?

Simple single-channel setups: 1 to 3 hours. Multi-integration client agents: plan a half-day and parallel run.

Do I need Docker knowledge on Agent 37?

No for day-to-day ops. Docker still runs under the hood, but you interact through dashboard terminal and docs.

Where do I get help during migration?

Agent 37 Pro/Team includes stronger support channels. Start with docs and channel setup guides before opening a ticket with logs and task board screenshots.