# Cursor vs Todo.is

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Todo.is records 16,241 monthly visits with +152.2% growth and Freemium pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Todo.is](https://openaitools.app/tool/todo-is) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://todo.is |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Task Management, AI Project Management, AI Productivity Tools |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 23,297,751 | 16,241 |
| MoM Growth Rate | +8.4% | +152.2% |
| Primary Market | United States | India |
| Direct Visits | 14,683,770 | 6,274 |
| Review Score | 4.7 | 4.3 |
| Saved Count | 29 | 2 |
| 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)

## Todo.is

Todo.is reframes the to-do list as something an agent executes rather than something you maintain. Instead of a checklist that reminds you about work, it gives you a personal agent that lives inside the messaging apps you already use, web chat, WhatsApp, Telegram, Discord, Slack and Feishu, and turns a sentence into finished work.

Under the hood the agent can browse the web with a real browser, run code, handle files, fill in web forms, draft emails and documents, and schedule recurring jobs. Because it drives a browser rather than relying on pre-built integrations, it can operate on sites that have no API or automation connector, which is the practical difference from trigger-and-action platforms where you pick a trigger and map fields. A typical example is asking it to check competitors' pricing pages every Monday morning and report changes to Slack.

The design keeps the human in the loop where it matters. Sending email, altering your calendar, making a purchase or deleting files all wait for a one-tap confirmation, and everything the agent does is visible in an Activity timeline. Each agent works in its own sandboxed workspace, saved logins and API keys are encrypted at rest, conversations and files are never shared with other customers, and channels are private by default, paired with a one-time code. Agents run continuously in the cloud regardless of whether your computer is on.

**Pricing & Plans:** Paid subscription with a trial offer. The first 24 hours cost $1 on whichever plan you choose, after which the plan renews monthly: Starter is $29/month for one agent, Pro is $69/month for five agents, and Elite is $119/month for ten agents. Cancellation is available from the Billing page in a couple of clicks, and cancelling within the first 24 hours avoids the monthly charge. Payments are processed by Whop, and agents can run on platform AI credits or bring your own API key.

- **Chat-native to-do agent:** Send a task in ordinary language to your agent in web chat, WhatsApp, Telegram, Discord, Slack or Feishu, and it works out the steps rather than requiring a flow to be configured.
- **Browsing, code and files:** Agents browse the web, run code and handle files, then message you the result when the job is finished, running 24/7 on cloud infrastructure.
- **Recurring and scheduled work:** Schedule recurring jobs such as weekly competitor price checks, daily briefings or monitoring tasks, each running to a plain-language description like a natural-language IFTTT.
- **Human approval on sensitive actions:** Sending email, changing calendars, purchases and file deletions wait for a one-tap approval, and every executed step is logged in an Activity timeline.
- **Model choice and BYO keys:** Run on platform AI credits with no key required, or connect your own API key from OpenAI, Anthropic, Google, DeepSeek, xAI, Groq, OpenRouter and more, covering 100+ models.

**Strengths:** Plain-language tasks are executed end to end rather than merely scheduled or listed; Works inside WhatsApp, Telegram, Discord, Slack and Feishu, so there is no new app to adopt; A real browser lets it handle sites with no API or existing integration; Sensitive actions require one-tap human approval and are recorded in an Activity timeline

**Limitations:** No free tier; entry requires the $1 first-24-hours offer before monthly billing begins; Sensitive actions such as sending email, changing calendars, buying items or deleting files require manual approval, so fully unattended workflows are limited; Payments are handled by Whop rather than a first-party billing system; Chat-native design means most interaction happens through messaging apps rather than a rich desktop interface

[Profile (Markdown)](https://openaitools.app/tool/todo-is.md)

## Frequently Asked Questions

### How do Cursor and Todo.is compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Todo.is has 16,241. 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%; Todo.is has +152.2%.

### 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. Todo.is: Freemium. Paid subscription with a trial offer. The first 24 hours cost $1 on whichever plan you choose, after which the plan renews monthly: Starter is $29/month for one agent, Pro is $69/month for five agents, and Elite is $119/month for ten agents. Cancellation is available from the Billing page in a couple of clicks, and cancelling within the first 24 hours avoids the monthly charge. Payments are processed by Whop, and agents can run on platform AI credits or bring your own API key.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Miro](https://openaitools.app/tool/miro) | 30,749,206 | +1.7% | Freemium, Contact for Pricing | An AI-powered visual workspace where teams think, plan, and build together | [.md](https://openaitools.app/tool/miro.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 | [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) |
| 4 | [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) |
| 5 | [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) |
| 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 | [Dooray!](https://openaitools.app/tool/dooray) | 1,532,922 | -3.9% | Freemium, Free Trial, Paid, Contact for Pricing | All-in-one Korean collaboration suite for teams and public institutions | [.md](https://openaitools.app/tool/dooray.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-todo-is

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