# Cursor vs Fabraix

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Fabraix records 3,051 monthly visits with +15.4% growth and Freemium, Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Fabraix](https://openaitools.app/tool/fabraix) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://fabraix.com |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Agent, AI Developer Tools, AI Testing, AI Checker |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 23,297,751 | 3,051 |
| MoM Growth Rate | +8.4% | +15.4% |
| Primary Market | United States | Canada |
| Direct Visits | 14,683,770 | 1,208 |
| Review Score | 4.7 | 4.4 |
| 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)

## Fabraix

Fabraix is a Y Combinator-backed security company whose product, Nyx, is an autonomous red-teaming harness for AI agents. Where static benchmarks and one-off audits capture a point-in-time snapshot, Nyx runs adaptive, multi-turn campaigns that reason across interactions and probe a target both directly and indirectly. The company reports that its agent beats frontier models on offensive security — a 78% attack success rate on the AgentHarm benchmark versus 67% for GPT-5.6 Sol — and that every attack feeds a self-learning loop so the red team sharpens with each run.

The mechanics matter as much as the results. Nyx is pure blackbox, meaning it needs no integration, source code, model weights or network access, and it tests an AI system the way a real user would. It runs thousands of simulations concurrently across voice, text and image inputs, deploying test websites on the fly for browser agents and constructing custom files for document agents. Documented findings range from sandbox escapes and credential exfiltration to network-egress bypasses of an LLM-as-judge and a jailbroken real-estate agent pushed into illegal discriminatory steering.

Fabraix frames this as continuous verification rather than a one-off pentest. Pointed at customer-support bots, coding agents, clinical copilots, research agents, multi-agent systems and trading agents, it is designed to surface the failure modes that slip past multi-turn flows, including RL reward hacking and prompt injection laundered through inputs. Security is addressed directly: blackbox operation adds almost nothing to the attack surface, runs are isolated and ephemeral, data is never used for training and encryption covers transit and rest. The free researcher tier, one-off scans and continuous CI/CD plans make the offering scale with how you test.

**Pricing & Plans:** Fabraix is free for academic and independent AI researchers by application. Beyond that it offers a one-off scan tier priced per agent, continuous CI/CD coverage billed monthly by usage, and an enterprise tier with dedicated infrastructure, SSO, audit logging and custom SLAs.

- **Pure blackbox testing:** Point Nyx at any AI system with no integration or internal access — test agents exactly how real users interact with them.
- **Multi-turn adaptive attacks:** Nyx reasons across turns and adapts to your agent's logic, drawing on 10,000+ offensive strategies in long-context campaigns instead of canned prompts.
- **Multi-modal interaction surfaces:** Test across voice, text and images, with websites deployed on the fly for browser agents and custom files for document-processing agents.
- **Massively parallel coverage:** Run thousands of concurrent simulations; coverage scales with compute rather than headcount, with first exploits often found in under an hour.
- **Continuous CI/CD red-teaming:** Plug into CI/CD so every prompt, tool and model change is re-tested before it ships, with an AIVSS-scored report and reproduction steps per finding.

**Strengths:** Pure blackbox — no code, weights or integration required; 10,000+ adaptive multi-turn attack strategies; Massively parallel simulations find exploits fast; Explicit security posture: isolated runs, no training on your data, encryption

**Limitations:** Pricing for scans and continuous coverage is custom-quoted rather than published; Value depends on pointing it at a real, reachable agent implementation; Commercial use of Nyx is gated behind a demo and application flow; Advanced enterprise features like SSO and audit logging are reserved for the top tier

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

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Fabraix has 3,051. 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%; Fabraix has +15.4%.

### 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. Fabraix: Freemium, Contact for Pricing. Fabraix is free for academic and independent AI researchers by application. Beyond that it offers a one-off scan tier priced per agent, continuous CI/CD coverage billed monthly by usage, and an enterprise tier with dedicated infrastructure, SSO, audit logging and custom SLAs.

## 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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Warp](https://openaitools.app/tool/warp-ai) | 657,372 | -9.3% | Freemium, Contact for Pricing | AI-powered terminal and agentic software factory for development teams | [.md](https://openaitools.app/tool/warp-ai.md) |
| 10 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Excels at enterprise-grade context engines and team workflows, but is heavier to set up than Cursor. | [.md](https://openaitools.app/tool/augment-code.md) |

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

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