# Cursor vs reachat

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. reachat records 585 monthly visits with -14.9% growth and Free pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [reachat](https://openaitools.app/tool/reachat) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://reachat.dev |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Chat Generator, AI Developer Tools, Large Language Models (LLMs) |
| Pricing Model | Freemium | Free |
| Monthly Visits | 23,297,751 | 585 |
| MoM Growth Rate | +8.4% | -14.9% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 231 |
| Review Score | 4.7 | 4.3 |
| 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)

## reachat

reachat is an open-source UI library for ReactJS that focuses narrowly and usefully on one hard problem: building a good chat interface for LLM-powered products. Instead of shipping a black-box chat widget, it hands developers a set of composable building blocks — message rendering, an input composer, file attachment handling and markdown support — that slot into an existing React application.

The library is intentionally backend-agnostic. It does not bundle a model, a vector store or a hosted inference endpoint; you point it at whatever API or LLM you already work with. That makes it a good fit for teams who have already chosen their model stack and only need the front end to stop being the bottleneck. It supports switching between models, or mixing several inside one interface.

Its maintainers describe it as battle-tested across dozens of enterprise products, and its source is publicly available. Because it is a component library rather than a finished app, the team should expect to write integration code and some styling to match their design system.

**Pricing & Plans:** Free and open source. reachat is available at no cost for personal and commercial projects, with no paid tiers described.

- **Highly customisable components:** Tune the chat interface to match your product with configurable components and theming options rather than fighting a locked-down widget.
- **Rich media and markdown support:** Handle file uploads, embedded content and markdown formatting out of the box, so conversations can carry richer information than plain text.
- **Multi-model support:** Switch between different AI models, or mix several models inside the same interface to serve different tasks.
- **Developer-friendly API:** An intuitive but flexible API designed so you can compose custom chat experiences without disproportionate glue code.
- **Backend-agnostic architecture:** Not tied to a specific backend or LLM, so you can plug in any provider or your own inference service.

**Strengths:** Free and open source for personal and commercial use; Saves weeks of chat UI implementation work; Not coupled to any specific backend or LLM, so it fits existing stacks; Ships with markdown, file uploads and theming rather than bare bones components

**Limitations:** You must wire up your own backend and model provider; React/TypeScript knowledge is required to customise deeply; Styling beyond the theming options means writing your own CSS; No hosted turnkey chat product — it is a component library, not an app

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

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while reachat has 585. 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%; reachat has -14.9%.

### 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. reachat: Free. Free and open source. reachat is available at no cost for personal and commercial projects, with no paid tiers described.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.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 | [Pi Coding Agent](https://openaitools.app/tool/pi-coding-agent) | 1,929,244 | +4% | Free | A minimal, extensible terminal coding agent you can reshape | [.md](https://openaitools.app/tool/pi-coding-agent.md) |
| 10 | [T3 Code](https://openaitools.app/tool/t3-code) | 1,071,866 | +52.5% | Free | Open-source control plane for orchestrating coding agents | [.md](https://openaitools.app/tool/t3-code.md) |

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

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