# Agent 37 vs Gitlights

Agent 37 records 180,030 monthly visits with +24.2% month-over-month growth and Free Trial, Contact for Pricing pricing. Gitlights records 0 monthly visits with -100% growth and Free Trial, Paid pricing.

| Metric | [Agent 37](https://openaitools.app/tool/agent-37) | [Gitlights](https://openaitools.app/tool/gitlights) |
| :--- | :--- | :--- |
| Website URL | https://www.agent37.com | https://gitlights.com |
| Categories | AI Coaching, AI Agent, AI Developer Tools, Large Language Models (LLMs) | AI GitHub, AI For Data Analytics, AI Developer Tools, AI Code Review |
| Pricing Model | Free Trial, Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 180,030 | 0 |
| MoM Growth Rate | +24.2% | -100% |
| Primary Market | Paraguay | Global |
| Direct Visits | 72,672 | 0 |
| Review Score | 4.3 | 4 |
| Saved Count | 0 | 1 |
| 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)

## Gitlights

Gitlights is built around a simple premise: when AI assistants write most of the code, traditional productivity metrics stop telling you anything useful. Volume of commits and lines changed no longer distinguishes a high-impact engineer from a fast typist. Gitlights instead analyzes repository activity across commits, pull requests, reviews and discussion to surface contribution patterns — the decisions made, the reviews given, and the architectural footprint of each person on the team.

Getting started takes minutes. You install the Gitlights application from the GitHub Marketplace, grant access to the repositories you want analyzed, and the platform loads your recent activity automatically (the last seven days on trial) and refreshes it daily. The product presents the results as graphs, tables, a developer radar and a developer map, alongside smart notifications and AI-generated weekly and monthly reviews that summarise what changed. A live demo dashboard built from OpenAI's public GitHub organization is available so you can see the analysis in practice before installing anything.

Gitlights is a commercial SaaS product with a 15-day free trial that includes full access to the Base plan. Paid tiers — Base, Advanced and Enterprise — differ mainly in how many GitHub users can share access, ranging from a single user up to ten seats on Enterprise. A one-time Historical Data Pack lets you backfill up to six months of commits and pull request history, and each purchase extends how far back you can look. Data is retained for one year, and there is no limit on the number of contributors analyzed.

**Pricing & Plans:** 15-day free trial with full Base plan access. Paid tiers: Base at $14.9/month, Advanced at $24.9/month (up to 5 shared GitHub users) and Enterprise at $34.9/month (up to 10 shared users). A one-time Historical Data Pack at $89.9 retrieves up to 6 months of past activity.

- **Contribution Analytics Beyond Lines of Code:** Analyzes commits, pull requests, reviews and discussion to show the decisions and architectural impact behind each developer's work, not just output volume.
- **Developer Radar and Developer Map:** Visual views that compare contributors across dimensions so team leads can spot strengths, gaps and shifts in how each person is contributing.
- **AI Weekly and Monthly Reviews:** Automatically generated summaries of repository and team activity, giving engineering managers a regular narrative they can share or act on.
- **One-Click GitHub Marketplace Install:** Install from the GitHub Marketplace, choose which repositories to analyze, and data loads within minutes with daily automatic updates.
- **Historical Data Pack:** Retrieve up to six months of prior commit and pull request history with a one-time purchase, extendable by buying additional packs.

**Strengths:** Focuses on contribution quality rather than easily gamed output metrics; Installation via GitHub Marketplace takes minutes and data refreshes daily; AI-generated weekly and monthly reviews save managers from manual reporting; Unlimited contributors on every plan, including the free trial

**Limitations:** Requires installing a GitHub app with repository access, which some teams may need to review with security first; Historical data beyond the trial period requires an extra one-time purchase; Analysis is GitHub-centric, so teams using GitLab or Bitbucket are not covered

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

## Frequently Asked Questions

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

Agent 37 has 180,030 monthly visits, while Gitlights has 0. 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%; Gitlights has -100%.

### 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. Gitlights: Free Trial, Paid. 15-day free trial with full Base plan access. Paid tiers: Base at $14.9/month, Advanced at $24.9/month (up to 5 shared GitHub users) and Enterprise at $34.9/month (up to 10 shared users). A one-time Historical Data Pack at $89.9 retrieves up to 6 months of past activity.

## 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 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Runs serverless Python containers optimized for AI model inference and batch jobs rather than persistent agent sandboxes. | [.md](https://openaitools.app/tool/modal-com.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [OSS Insight](https://openaitools.app/tool/oss-insight) | 97,152 | -13% | Free | Free real-time analytics for open source projects on GitHub | [.md](https://openaitools.app/tool/oss-insight.md) |
| 7 | [boat](https://openaitools.app/tool/boat) | 66,870 | +520.8% | Free Trial, Paid | Offers persistent Ubuntu Linux virtual machines specifically tailored for running AI agents and automated developer workflows. | [.md](https://openaitools.app/tool/boat.md) |
| 8 | [Bito](https://openaitools.app/tool/bito) | 63,829 | +9.8% | Freemium, Paid, Contact for Pricing | Context-aware AI code reviews and a model router for coding agents | [.md](https://openaitools.app/tool/bito.md) |
| 9 | [InsForge](https://openaitools.app/tool/insforge) | 60,257 | -11.3% | Freemium, Contact for Pricing, Free | Focuses on agent-native backend infrastructure with integrated databases and auth, whereas Agent 37 is a general sandbox. | [.md](https://openaitools.app/tool/insforge.md) |
| 10 | [exe.dev](https://openaitools.app/tool/exe-dev) | 60,103 | -26.4% | Freemium, Paid | Provides persistent Linux virtual machines with root SSH access, offering more low-level control than Agent 37. | [.md](https://openaitools.app/tool/exe-dev.md) |

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

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