# Cursor vs Skylight

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Skylight records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Skylight](https://openaitools.app/tool/skylight) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.launchskylight.com |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Agent, AI Testing, No-Code&Low-Code, AI Developer Tools |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 4.7 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

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

## Skylight

Skylight is infrastructure for computer-use agents. Rather than bolting automation onto a local machine, it hosts virtual Windows computers built specifically to be operated by AI, then exposes them through a clean API. The workflow is three steps: get a computer, drive it with agents, and supervise. Each instance comes ready with remote access and can be loaded with the custom applications a workflow depends on.

Agents talk to the machines through the Interactions API, which covers programmatic mouse clicks, keyboard input and screenshots. You can use Skylight's built-in agent, which learns how you like to work over time, or bring your own. Python and TypeScript SDKs can be used natively as an MCP server, which makes the platform a natural fit for agent frameworks. A no-code Playground lets anyone hand the agent a natural-language instruction and watch it act on a live Windows desktop in real time.

Control and scale are treated as core features, not extras. Every computer can be streamed live, safety guardrails restrict what the agent is allowed to do, and the agent asks for confirmation before destructive actions, so a human can intervene at any point. Multiple desktops can run concurrently, instances persist across stop and start, and files created on a virtual machine can be downloaded locally. The vendor reports over 30,000 instances launched and more than 10 million API interactions.

**Pricing & Plans:** Skylight offers a Free tier at $0/month that includes $5 worth of credits, no credit card required, plus unlimited concurrent computers, interactions and file downloads. Pro is $20/month and adds $20 of credits, unlimited file uploads and priority one-to-one support. Enterprise is custom-priced and can run on your own virtual machines. On top of plans, usage is metered: active computers cost $0.005 per minute, hibernated computers $0.0005 per minute, each agent step (screenshot, click, type) costs $0.003, and each file upload or download costs $0.05.

- **Virtual Windows computers on demand:** Spin up virtual Windows instances on demand, each ready to use with remote access and any custom apps your workflow needs.
- **Agentic control via API, SDKs and MCP:** Agents interact through the Interactions API to take screenshots, click, type and send keyboard commands, with Python and TypeScript SDKs and a native MCP server.
- **Human-in-the-loop supervision:** Define safety guardrails, require confirmation before destructive actions, stream all computers live and take over control at any moment.
- **No-code Playground:** Give natural-language instructions to the built-in Windows agent and watch it complete tasks on a real desktop without writing any code.
- **Scale, persistence and file transfer:** Deploy and coordinate many concurrent VMs, stop and resume instances without losing progress, and download files produced on the virtual machine.

**Strengths:** Purpose-built virtual Windows machines for agents instead of fragile local scripting; Free tier with $5 of credits and no credit card required to start; Python and TypeScript SDKs plus a native MCP server fit modern agent stacks; Human-in-the-loop confirmation, live streaming and guardrails reduce automation risk

**Limitations:** Metered consumption (per-minute VMs plus per-step agent actions) can be harder to forecast than a flat seat price; Focused on Windows-only virtual computers, so macOS or Linux workloads need other tooling; Fully guarded, large-scale automation is best supported through the SDKs, which assumes some developer skill; Enterprise pricing for deploying on your own VMs is custom and requires contacting sales

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

## Frequently Asked Questions

### How do Cursor and Skylight compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Skylight has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; Skylight has 0%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. Skylight: Freemium. Skylight offers a Free tier at $0/month that includes $5 worth of credits, no credit card required, plus unlimited concurrent computers, interactions and file downloads. Pro is $20/month and adds $20 of credits, unlimited file uploads and priority one-to-one support. Enterprise is custom-priced and can run on your own virtual machines. On top of plans, usage is metered: active computers cost $0.005 per minute, hibernated computers $0.0005 per minute, each agent step (screenshot, click, type) costs $0.003, and each file upload or download costs $0.05.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 6 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 7 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 8 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 9 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |

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Source: https://openaitools.app/compare/cursor-vs-skylight

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