# Cursor vs Amoga

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Amoga records 21,114 monthly visits with +56% growth and Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Amoga](https://openaitools.app/tool/low-code-development-and-ai) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.amoga.io |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | No-Code&Low-Code, AI CRM, AI App Builder |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 23,297,751 | 21,114 |
| MoM Growth Rate | +8.4% | +56% |
| Primary Market | United States | India |
| Direct Visits | 14,683,770 | 16,145 |
| Review Score | 4.7 | 4.2 |
| Saved Count | 29 | 1 |
| 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)

## Amoga

Amoga positions itself as enterprise software rebuilt for the agentic era: instead of buying rigid SaaS or commissioning a bespoke codebase, a business describes how it operates and Amoga generates applications as governed metadata. A named owner approves each specification, and a runtime that customers never fork executes it on durable workflows. That gives teams SaaS-like speed to go live with the tailoring of a custom build, without inheriting a codebase to maintain.

The platform is organised as three connected products sharing one specification and one authority model. Studio turns operating intent into a living application specification; Runtime operates the approved application together with durable execution and the AEGIS layer; Agents & GRID adds governed AI agents grounded in the same context, so automation is built into the software rather than bolted on.

Out-of-the-box application patterns cover sales and service CRM, loan origination and disbursement, collections, HRMS, field operations, projects, order management, production planning, inventory and dealer networks. Amoga cites deployments at Tata Capital, RailTel, CreditAccess Grameen, Swiggy, Practo and Nova IVF, and sells primarily through enterprise engagements with a demo-led evaluation process.

**Pricing & Plans:** Amoga does not publish list pricing; the platform is sold as an enterprise engagement with a request-a-demo path. Prospective buyers should contact sales for a scoped quote covering users, applications and deployment model.

- **Studio specification builder:** Capture business intent as a living application specification that a named owner approves before anything goes live.
- **Durable Runtime execution:** Operate approved applications on durable workflows with AEGIS governance, deployment boundaries and observability.
- **Governed AI agents:** Agents grounded in the same application context draft work, cite policy and stop at human approval gates.
- **Prebuilt enterprise applications:** Ready patterns for sales and service CRM, lending, HRMS, field operations, projects, production and inventory.
- **Enterprise security and compliance:** Identity, access, data and infrastructure controls with traceability and compliance mappings documented.

**Strengths:** One specification shared across build, run and AI layers reduces drift between teams; Agentic features ship inside the application context rather than as a separate bolt-on; Broad catalogue of prebuilt enterprise application patterns across industries; Strong governance story: named owners, approval gates and retained evidence trails

**Limitations:** No transparent public pricing; you must go through an enterprise sales cycle; Full benefit depends on adopting Amoga's specification-first way of working; Fewer self-serve resources for individual developers than mainstream low-code tools

[Profile (Markdown)](https://openaitools.app/tool/low-code-development-and-ai.md)

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Amoga has 21,114. 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%; Amoga has +56%.

### 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. Amoga: Contact for Pricing. Amoga does not publish list pricing; the platform is sold as an enterprise engagement with a request-a-demo path. Prospective buyers should contact sales for a scoped quote covering users, applications and deployment model.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [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) |
| 3 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 4 | [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) |
| 5 | [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) |
| 6 | [Emergent](https://openaitools.app/tool/emergent) | 5,788,850 | +5% | Freemium | Describe an app in chat and ship it | [.md](https://openaitools.app/tool/emergent.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/cursor-vs-low-code-development-and-ai

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