Agent 37 records 180,030 monthly visits with +24.2% month-over-month growth and Free Trial, Contact for Pricing pricing. WatchTower records 2,216 monthly visits with +12% growth and Free, Open Source pricing.
The low-cost cloud sandbox where AI agents actually live
Open-source DynamoDB capacity visualization with Amazon Bedrock AI insights
| Dimension / Metric | ||
|---|---|---|
| Official Domain | agent37.com | watch-tower.co |
| Pricing Model | Free Trial, Contact for Pricing | Free, Open Source |
| Monthly Visits | 180.03K (180,030) | 2.22K (2,216) |
| MoM Traffic Delta | +35.12K (+24.2%) | +238 (+12%) |
| Primary Market & Share | 🇵🇾 Paraguay (52.6%) | 🇮🇳 India (38.8%) |
| Direct Visits / mo | 72.67K | 867 |
| User Rating | 4.3 | 4.4 |
| Supported Platforms | Website | Website |
The low-cost cloud sandbox where AI agents actually live
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.
Launch Claude Code, Codex, OpenClaw, OpenCode, Hermes, Grok or your own Docker image, each in its own tenant-isolated sandbox.
Files survive sleep, restarts and weeks of inactivity, and agents can be attached to cron-style schedules so work runs unattended.
Expose individual ports publicly, attach your own domain, or keep everything behind an API key on an authenticated URL.
Open-source DynamoDB capacity visualization with Amazon Bedrock AI insights
Connect with an AWS access key and secret key, then browse and monitor the DynamoDB tables in your account.
Pick a table and date range to generate clear graphs of provisioned versus consumed capacity, so you can judge whether provisioning is right-sized.
A one-click AI panel uses Amazon Bedrock (Mistral 7B Instruct by default) to turn raw capacity data into written insights and provisioning recommendations.
Optionally save generated analyses and metrics to a DynamoDB table in your own account, then regenerate graphs later to compare trends over time.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
SpecialistThe AI developer cloud for GPU pods, serverless inference and clustering
SpecialistThe AI developer cloud for GPU pods, serverless inference and clustering
SpecialistRuns serverless Python containers optimized for AI model inference and batch jobs rather than persistent agent sandboxes.
SpecialistRuns serverless Python containers optimized for AI model inference and batch jobs rather than persistent agent sandboxes.
SpecialistCloud browsers and web APIs for AI agents
SpecialistCloud browsers and web APIs for AI agents
SpecialistSelf-hosted infrastructure platform for provisioning secure cloud development workspaces and governing AI coding agents.
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
SpecialistLow-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
SpecialistLow-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
Free / Open-sourceFree real-time analytics for open source projects on GitHub
Free / Open-sourceFree real-time analytics for open source projects on GitHub
Offers persistent Ubuntu Linux virtual machines specifically tailored for running AI agents and automated developer workflows.
Focuses on agent-native backend infrastructure with integrated databases and auth, whereas Agent 37 is a general sandbox.
Provides persistent Linux virtual machines with root SSH access, offering more low-level control than Agent 37.
Provides persistent Linux virtual machines with root SSH access, offering more low-level control than Agent 37.
Free / Open-sourceThe open-source data layer for robotics and physical AI
