# Adapt vs Cursor

Adapt records 31,479 monthly visits with -21.2% month-over-month growth and Freemium, Free Trial pricing. Cursor records 23,297,751 monthly visits with +8.4% growth and Freemium pricing.

| Metric | [Adapt](https://openaitools.app/tool/adapt) | [Cursor](https://openaitools.app/tool/cursor) |
| :--- | :--- | :--- |
| Website URL | https://adapt.com | https://www.cursor.com |
| Categories | AI Agent, AI Data Mining, AI For Data Analytics | AI Code Assistant, AI Developer Tools, AI Agent |
| Pricing Model | Freemium, Free Trial | Freemium |
| Monthly Visits | 31,479 | 23,297,751 |
| MoM Growth Rate | -21.2% | +8.4% |
| Primary Market | United States | United States |
| Direct Visits | 26,034 | 14,683,770 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 0 | 29 |
| Supported Platforms | Website | Website |

## Adapt

Adapt positions itself as the operating layer for companies that want AI agents doing genuine work rather than demos. The company agent is the front end: it answers in Slack, email or a web app, reads from connected systems such as a CRM and mail, and carries out multi-step jobs. Because each run starts from what the previous run learned and uses the access rights of the requesting user, the agent stays inside existing permission boundaries instead of demanding a new security model.

Underneath the agent, Adapt exposes the infrastructure as separate products you can adopt individually or together. Sandboxes are isolated computers that run code outside your application, metered per second and free while parked. Storage keeps files and memories between runs so work compounds instead of resetting, and the model gateway routes requests to Claude, GPT, Gemini or other models through one API — you can switch models in configuration rather than rewriting code, use your own provider keys at no markup, or use Adapt's keys at list price plus a small surcharge.

For organisations that want the outcome without the build, Adapt offers AI Transformation Services: a roadmap for where agents fit, agents and infrastructure built and run on Adapt Cloud, in your VPC or on-premises, and ongoing upgrades, monitoring and incident response. A developer preview open-source company agent is also offered, which signals the platform is aimed at engineering teams as much as business users.

**Pricing & Plans:** Freemium-style entry with a free trial and usage-based components. Sandboxes are metered per second while running and cost nothing when parked; storage is billed on usage; the model gateway charges 0% markup when you bring your own provider API keys and list price plus roughly 5.5% when using Adapt's keys. AI Transformation Services and enterprise deployments are quoted individually.

- **Company agent:** One agent that works across every team's tools and knowledge, answering in Slack, email and the web app and acting with the permissions of the person asking.
- **Sandboxes:** Isolated computers for each agent run, configurable up to 32 vCPU and 32 GiB, billed by the second while active and free when parked.
- **Storage for files and memories:** Files persist after a sandbox stops and memories are recalled by later runs, so agents build on previous work instead of starting from scratch.
- **Model gateway:** Reach Claude, GPT, Gemini and other models through a single OpenAI-style API, switching models in configuration and optionally using your own provider keys at 0% markup.
- **Managed AI transformation services:** Adapt engineers help plan, build and operate agents on Adapt Cloud, in your VPC or on-premises, including monitoring and incident response.

**Strengths:** Agents operate with the asking user's existing permissions, which avoids inventing new access models; Infrastructure is modular, so you can start with one component and add the rest later; Model gateway keeps you vendor-neutral and charges no markup when you supply your own provider keys; Per-second sandbox billing with no charge while parked keeps experimentation costs low

**Limitations:** Per-second compute plus per-request model costs can be harder to forecast than a flat subscription; The open-source company agent is still a developer preview, so some capabilities are early; Setup benefit depends on how well your internal tools and data sources can be connected

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

## 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)

## Frequently Asked Questions

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

Adapt has 31,479 monthly visits, while Cursor has 23,297,751. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Adapt has a month-over-month growth rate of -21.2%; Cursor has +8.4%.

### How does pricing compare?

Adapt: Freemium, Free Trial. Freemium-style entry with a free trial and usage-based components. Sandboxes are metered per second while running and cost nothing when parked; storage is billed on usage; the model gateway charges 0% markup when you bring your own provider API keys and list price plus roughly 5.5% when using Adapt's keys. AI Transformation Services and enterprise deployments are quoted individually. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [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) |
| 3 | [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) |
| 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 | [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) |
| 7 | [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) |
| 8 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Enterprise AI grounded in your company's own knowledge | [.md](https://openaitools.app/tool/glean.md) |
| 9 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 10 | [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) |

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

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