# Agent 37 vs Backmesh

Agent 37 records 180,030 monthly visits with +24.2% month-over-month growth and Free Trial, Contact for Pricing pricing. Backmesh records 874 monthly visits with +965.9% growth and Free Trial, Paid pricing.

| Metric | [Agent 37](https://openaitools.app/tool/agent-37) | [Backmesh](https://openaitools.app/tool/backmesh) |
| :--- | :--- | :--- |
| Website URL | https://www.agent37.com | https://backmesh.com |
| Categories | AI Coaching, AI Agent, AI Developer Tools, Large Language Models (LLMs) | AI API, Large Language Models (LLMs), Open Source AI Models |
| Pricing Model | Free Trial, Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 180,030 | 874 |
| MoM Growth Rate | +24.2% | +965.9% |
| Primary Market | Paraguay | Nigeria |
| Direct Visits | 72,672 | 394 |
| Review Score | 4.3 | 4.3 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Agent 37

Agent 37 is a cloud infrastructure product aimed at people who need somewhere real for AI agents to run. Instead of a chat window, every customer gets a sandbox: an isolated Linux container with CPU, memory, persistent disk, an optional public HTTPS URL, and outbound network access. The company positions itself primarily on price, claiming its sandboxes cost roughly 94% less than most competing providers and publishing a comparison table against AWS, Daytona, E2B, Modal, Vercel, and others. Billing is prepaid and metered by the minute — vCPU, memory, and disk each have their own unit rate — with no subscription fee.

Beyond raw compute, Agent 37 ships a layer of agent-specific conveniences. You can start from a ready-made harness such as Claude Code, Codex, OpenClaw, OpenCode, or Hermes, or bring your own Docker image. Agents keep their files across sleep, stop and restart cycles, and can be given cron schedules so they run unattended and simply report results. Model access can come from the platform gateway (Claude, OpenAI, Gemini, Grok) or from your own API keys, and integrations cover services such as Gmail, Slack, Notion, and GitHub through a Composio-based connector catalog, plus metered access to paid tools like web scraping and people/company data.

Security is a major part of the pitch: sandboxes are isolated with gVisor, hosts have no public hostname, ingress goes through Cloudflare with API-key authentication, and outbound traffic is restricted to the public internet. The company states it does not collect prompts, files, or terminal sessions, holds SOC 2 Type I, and is working toward Type II. It also offers startup credits and a free personal agent tier for individuals who just want an agent of their own.

**Pricing & Plans:** Prepaid, pay-as-you-go compute metered per minute with no subscription or minimum. New accounts get a $5 starter credit once a card is on file, and the company advertises up to $10,000 in credits for startups. Exact unit rates are published on the pricing page and change over time, so confirm current figures there.

- **Per-minute sandbox billing:** Pay for vCPU, memory and disk separately while the sandbox runs; when it sleeps or is deleted the compute meter stops and you are left with disk cost only.
- **Ready-made agent harnesses:** Launch Claude Code, Codex, OpenClaw, OpenCode, Hermes, Grok or your own Docker image, each in its own tenant-isolated sandbox.
- **Persistent workspace and scheduling:** Files survive sleep, restarts and weeks of inactivity, and agents can be attached to cron-style schedules so work runs unattended.
- **Networking and custom domains:** Expose individual ports publicly, attach your own domain, or keep everything behind an API key on an authenticated URL.
- **Integrations and metered tools:** Connect 1,000+ apps such as Gmail, Slack, Notion and GitHub, and buy one-off capabilities like scraping or enrichment from the same balance.

**Strengths:** Aggressively low per-minute pricing with an explicit public comparison against major sandbox providers; Persistent disk and scheduling make it suitable for real agent workloads rather than one-shot tasks; Strong isolation story (gVisor, firewalled egress, no public hostnames) plus SOC 2 Type I; Flexible model and tool sourcing: platform gateway, bring-your-own keys, or pay-per-use tools

**Limitations:** Prepaid balance model means you must top up in advance and monitor spend across many sandboxes; Persona pricing and plan details are only available after contacting the team for the white-label and enterprise tracks; Documentation and benchmark claims are largely self-published, so independent verification is limited

[Profile (Markdown)](https://openaitools.app/tool/agent-37.md)

## Backmesh

Backmesh solves a specific and expensive problem: GitHub-hosted runners are convenient but costly, and typical self-hosted runner setups require you to operate autoscaling infrastructure yourself. With a single install, Backmesh connects your GitHub organisation to spot VM capacity across AWS, Google Cloud and Azure, and launches one VM per job. Runners and their autoscaler run inside accounts you control, so your clouds bill you directly for compute.

Security is designed around not holding your data. Backmesh stores no cloud keys: the install connects each cloud using a role created from your own cloud CLI session. Code, secrets, caches and logs travel only between GitHub and your runners, never to Backmesh, and only one small event per job is sent — describing the runner without naming the repository, workflow, job or branch. If Backmesh itself has an outage of roughly half an hour, in-flight jobs finish and new ones keep starting.

Commercially, Backmesh charges by jobs started rather than minutes, with a 15-day free trial on every tier and monthly or yearly billing. The site publishes comparisons against GitHub-hosted runners — for example 150,000 minutes a month costing about $1,800 on GitHub versus roughly $210–$260 on Backmesh for 4-vCPU Linux jobs. The platform supports Linux x86-64, private repositories, and AWS, GCP or Azure per workflow.

**Pricing & Plans:** Subscription tiers priced by jobs started over a rolling 30-day window, with a 15-day free trial on every tier and up to 30% off on yearly billing; tier prices and job caps are listed on the pricing page.

- **One install across three clouds:** A single Backmesh install receives your GitHub queued jobs and dispatches each to its own spot VM in AWS, Google Cloud or Azure.
- **No cloud keys stored:** Cloud connections use roles created from your own CLI session, and Backmesh never receives your code, secrets, caches or logs.
- **Cost visibility and control:** A status command reports runner VMs, queue times, 24-hour and 7-day job stats and month-to-date cost in one place.
- **Per-job resource telemetry:** Every job log ends with peak memory, OOM kills, CPU and disk usage so you can right-size jobs.
- **Resilient by design:** Running jobs complete and new jobs keep starting through a Backmesh outage of about 30 minutes.

**Strengths:** Substantially lower CI compute cost than GitHub-hosted runners on equivalent workloads; Runners and autoscaler live in your own cloud accounts, with no cloud keys stored by Backmesh; Works across AWS, GCP and Azure from a single install with unified status reporting; Per-job resource telemetry helps size runners accurately

**Limitations:** Linux x86-64 and private repositories only — no macOS, Windows, Arm or GPU runners; Each job waits for its own VM to boot, roughly 30 s on AWS and 60–70 s on GCP and Azure; A reclaimed spot VM fails its job and must be rerun; Each job starts with an empty Docker layer cache

[Profile (Markdown)](https://openaitools.app/tool/backmesh.md)

## Frequently Asked Questions

### How do Agent 37 and Backmesh compare in monthly traffic?

Agent 37 has 180,030 monthly visits, while Backmesh has 874. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agent 37 has a month-over-month growth rate of +24.2%; Backmesh has +965.9%.

### How does pricing compare?

Agent 37: Free Trial, Contact for Pricing. Prepaid, pay-as-you-go compute metered per minute with no subscription or minimum. New accounts get a $5 starter credit once a card is on file, and the company advertises up to $10,000 in credits for startups. Exact unit rates are published on the pricing page and change over time, so confirm current figures there. Backmesh: Free Trial, Paid. Subscription tiers priced by jobs started over a rolling 30-day window, with a 15-day free trial on every tier and up to 30% off on yearly billing; tier prices and job caps are listed on the pricing page.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 2 | [Browser Use](https://openaitools.app/tool/browser-use) | 1,206,376 | +41.1% | Freemium, Paid, Contact for Pricing | Browser agents and stealth cloud browsers for real web tasks | [.md](https://openaitools.app/tool/browser-use.md) |
| 3 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 4 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | One OpenAI-compatible gateway for adaptive LLM routing, guardrails, and spend control | [.md](https://openaitools.app/tool/orcarouter.md) |
| 5 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) |
| 6 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) |
| 7 | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | 168,426 | -14.5% | Freemium, Contact for Pricing | One OpenAI-compatible API to route, monitor and control 250+ LLM models | [.md](https://openaitools.app/tool/llm-gateway.md) |
| 8 | [Coder](https://openaitools.app/tool/coder) | 149,417 | -12.8% | Free Trial, Contact for Pricing, Free | Self-hosted infrastructure platform for provisioning secure cloud development workspaces and governing AI coding agents. | [.md](https://openaitools.app/tool/coder.md) |
| 9 | [oMLX](https://openaitools.app/tool/omlx-ai) | 107,331 | -27.5% | Free | Native macOS inference server that makes local LLMs instant for coding agents | [.md](https://openaitools.app/tool/omlx-ai.md) |
| 10 | [Thunder Compute](https://openaitools.app/tool/thunder-compute) | 102,147 | -29% | Paid (per-minute instances, per-second sandboxes) | Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads. | [.md](https://openaitools.app/tool/thunder-compute.md) |

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Source: https://openaitools.app/compare/agent-37-vs-backmesh

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)