# Agent 37 vs CortexPrism

Agent 37 records 180,030 monthly visits with +24.2% month-over-month growth and Free Trial, Contact for Pricing pricing. CortexPrism records 263 monthly visits with -87.6% growth and Free pricing.

| Metric | [Agent 37](https://openaitools.app/tool/agent-37) | [CortexPrism](https://openaitools.app/tool/cortexprism) |
| :--- | :--- | :--- |
| Website URL | https://www.agent37.com | https://cortexprism.io |
| Categories | AI Coaching, AI Agent, AI Developer Tools, Large Language Models (LLMs) | AI Agent |
| Pricing Model | Free Trial, Contact for Pricing | Free |
| Monthly Visits | 180,030 | 263 |
| MoM Growth Rate | +24.2% | -87.6% |
| Primary Market | Paraguay | United States |
| Direct Visits | 72,672 | 78 |
| Review Score | 4.3 | 4.2 |
| 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)

## CortexPrism

CortexPrism bills itself as an operating system for AI agents rather than a single chatbot or model endpoint. The core idea is that an agent needs more than a prompt: it needs memory to stay coherent over time, a set of tools it can actually call, and a runtime that can route each step to whichever model makes sense. CortexPrism packages those pieces into one self-hosted stack so that orchestration logic, prompts and memory live on infrastructure you control.

The project follows an open-source model and is built for people who want to assemble rather than consume. You bring API keys from the model providers you already trust, register internal services as tools, and configure how agents plan and act. Because the runtime, memory store and tool calls never pass through a vendor's agent cloud, teams in regulated or privacy-sensitive settings can adopt autonomous workflows without handing over their data.

Expect a developer-first experience: configuration over clicking, command-line and container-based deployment, and documentation that continues to mature. The public site has had availability hiccups, so it is worth bookmarking the repository and docs alongside the marketing page. For teams already comfortable running their own services, CortexPrism is a way to own the agent layer end to end.

**Pricing & Plans:** Free and open source. You self-host the software and bring your own model API keys, so your only recurring cost is the inference you consume from your chosen providers.

- **Multi-provider LLM orchestration:** Run agents against multiple model vendors and swap or route between them without rewriting your agent logic.
- **Persistent agent memory:** Give agents working memory and long-term recall so context survives across sessions instead of resetting each run.
- **Extensible tool layer:** Register your own APIs, scripts and data sources as callable tools that autonomous agents can chain together.
- **Self-hosted by design:** Deploy the whole stack inside your own network or VPS, keeping prompts, memory and tool traffic under your control.
- **Composable agent architecture:** Model the operating system as reusable agent, memory and tool primitives that you assemble into workflows.

**Strengths:** Open source and fully self-hostable, with no vendor lock-in; Multi-provider orchestration avoids betting on a single model vendor; Built-in memory and tool layer reduce glue code you would otherwise write; Keeps prompts, memory and agent traffic inside your own infrastructure

**Limitations:** Self-hosting requires comfort with command-line tools, containers and API key management; Bring-your-own model keys mean inference costs are on you; Documentation and community are still maturing compared with closed hosted platforms; The public site was intermittently unreachable at audit time, so onboarding docs can be hard to reach

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

## Frequently Asked Questions

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

Agent 37 has 180,030 monthly visits, while CortexPrism has 263. 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%; CortexPrism has -87.6%.

### 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. CortexPrism: Free. Free and open source. You self-host the software and bring your own model API keys, so your only recurring cost is the inference you consume from your chosen providers.

## 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 | 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) |
| 4 | [MyClaw](https://openaitools.app/tool/myclaw) | 990,387 | -23.8% | Paid | Your always-on AI teammate, hosted and managed for you | [.md](https://openaitools.app/tool/myclaw.md) |
| 5 | [BLACKBOX.AI](https://openaitools.app/tool/blackbox-ai-1) | 622,975 | -27.2% | Free Trial, Paid | High-trust frontier inference, encrypted end to end | [.md](https://openaitools.app/tool/blackbox-ai-1.md) |
| 6 | [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) |
| 7 | [Coder](https://openaitools.app/tool/coder) | 149,417 | -12.8% | Free Trial, Contact for Pricing, Free | Self-hosted cloud development environments and AI coding agents for enterprise teams | [.md](https://openaitools.app/tool/coder.md) |
| 8 | [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) |
| 9 | [boat](https://openaitools.app/tool/boat) | 66,870 | +520.8% | Free Trial, Paid | Persistent Ubuntu cloud VMs built for AI agent factories | [.md](https://openaitools.app/tool/boat.md) |
| 10 | [InsForge](https://openaitools.app/tool/insforge) | 60,257 | -11.3% | Freemium, Contact for Pricing, Free | Agent-native cloud infrastructure that lets coding agents run the whole backend stack | [.md](https://openaitools.app/tool/insforge.md) |

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

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