# Cursor vs Maestri

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Maestri records 57,632 monthly visits with +41.6% growth and Free Trial, Paid, Free pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Maestri](https://openaitools.app/tool/maestri) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.themaestri.app |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Agent, AI Developer Tools, AI Assistant, AI Productivity Tools |
| Pricing Model | Freemium | Free Trial, Paid, Free |
| Monthly Visits | 23,297,751 | 57,632 |
| MoM Growth Rate | +8.4% | +41.6% |
| Primary Market | United States | Brazil |
| Direct Visits | 14,683,770 | 19,387 |
| Review Score | 4.7 | 4.2 |
| 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)

## Maestri

Maestri starts from a simple frustration: when you run several AI agents at once, the project acquires a state that none of the individual agents can see. Which path each one took, what has already been ruled out, where two are about to collide — that map normally lives only in your head, and you rebuild it every time you return. Maestri keeps that map outside your head, on a canvas.

Each agent in Maestri gets a terminal node on an infinite canvas, and you give it a role. Agents connect and hand work between themselves rather than each starting cold, so the operation continues moving while you watch. Because the connections are drawn between real terminals, no API glue or middleware is involved — one agent simply types into another's terminal.

It is aimed at developers and technical operators who already run coding agents such as command-line assistants and want to coordinate several of them on one screen. The app is built for macOS 15.4+ on Apple Silicon, with builds also pointed at Windows and Linux, and can be started for free.

**Pricing & Plans:** Free to get started on macOS (Apple Silicon, macOS 15.4+); the site also links Windows and Linux builds. The listed pricing model includes free and paid tiers plus an evaluation path.

- **Infinite agent canvas:** Every agent becomes a terminal node on a boundless canvas, so you can see the whole operation at once instead of juggling separate windows.
- **Direct agent-to-agent handoff:** Connect nodes with lines and agents talk to each other through the terminal layer — one agent types into another's terminal, with no API glue or middleware.
- **Role assignment:** Give each agent a defined role so teammates work from the same structure rather than every agent starting over with no idea who does what.
- **Persistent project state:** The canvas holds the state of the project visually, so when you come back you can see where everything stands instead of reconstructing it from memory.
- **Native desktop builds:** Ships as a native macOS app with Windows and Linux builds linked from the site, rather than a browser tab.

**Strengths:** Keeps multi-agent state visible on one canvas instead of split across terminals; Direct terminal-to-terminal handoff removes the need for API glue or middleware; Native macOS app with a fast, purpose-built interface; Free entry point makes it low risk to try a multi-agent setup

**Limitations:** Targets macOS 15.4+ on Apple Silicon, which excludes older Macs; Geared toward users already comfortable with command-line coding agents; Pricing page was not reachable during review, so exact paid tiers are unclear

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

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Maestri has 57,632. 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%; Maestri has +41.6%.

### 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. Maestri: Free Trial, Paid, Free. Free to get started on macOS (Apple Silicon, macOS 15.4+); the site also links Windows and Linux builds. The listed pricing model includes free and paid tiers plus an evaluation path.

## 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 | Google's agent-first development platform for building and shipping software with AI agents | [.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 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.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 | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.md) |

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

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