# codereview.ollama vs Cursor

codereview.ollama records 0 monthly visits with — month-over-month growth and Free pricing. Cursor records 23,297,751 monthly visits with +8.4% growth and Freemium pricing.

| Metric | [codereview.ollama](https://openaitools.app/tool/codereview-ollama) | [Cursor](https://openaitools.app/tool/cursor) |
| :--- | :--- | :--- |
| Website URL | https://chromewebstore.google.com/detail/codereviewollama/edbfbcfdenimifjikfajbckbcnfhhapn | https://www.cursor.com |
| Categories | AI Code Review, AI Developer Tools, Large Language Models (LLMs), AI GitHub | AI Code Assistant, AI Developer Tools, AI Agent |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 23,297,751 |
| MoM Growth Rate | — | +8.4% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 14,683,770 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 0 | 29 |
| Supported Platforms | Browser Extension | Website |

## codereview.ollama

codereview.ollama is a lightweight browser extension published on the Chrome Web Store that adds automated code review to your GitHub and GitLab workflows. Rather than sending your diffs to a hosted AI service, it talks to a large language model you host yourself through Ollama or LM Studio, which means the model runs locally or on infrastructure you control. That makes it attractive to teams with privacy, compliance or cost constraints that rule out cloud-based reviewers.

The extension is deliberately narrow in scope: its job is to review pull requests on GitHub and merge requests on GitLab and surface AI-generated feedback on the changes. Because it relies on the models you already run (for example a Llama, Mistral, Qwen or DeepSeek model served by Ollama), the quality and style of the review scale with the model you choose, and you can swap models without changing tools. It is distributed as a free Chrome extension, currently authored by the publisher limingchina.

Because it is a browser extension, setup is mostly about pointing it at your running Ollama or LM Studio endpoint and granting it access to the relevant code-hosting pages. The developer states that the extension does not collect or use your data, which aligns with the local-first design. Note that codereview.ollama is a third-party project and is not affiliated with or endorsed by the Ollama project or by GitHub or GitLab.

**Pricing & Plans:** Free. codereview.ollama is distributed as a free Chrome extension with no paid tier listed. You provide the compute by running your own model through Ollama or LM Studio, so any cost comes from your own hardware or hosting.

- **Pull request review on GitHub:** Generates AI feedback on GitHub pull requests so reviewers get a first pass of comments before human review.
- **Merge request review on GitLab:** Works with GitLab merge requests as well as GitHub PRs, covering the two most common code-hosting platforms for small teams.
- **Local LLMs via Ollama and LM Studio:** Connects to models you host yourself, keeping code and prompts on infrastructure you control instead of a cloud AI vendor.
- **Model-agnostic:** Any model you can serve through Ollama or LM Studio can be used, so you can pick a model that fits your hardware and review style.
- **No data collection:** The developer discloses that the extension does not collect or use your data, consistent with its local-first approach.

**Strengths:** Free to install and use, with no subscription or per-seat pricing; Keeps review runs on your own Ollama or LM Studio setup rather than the cloud; Works on both GitHub pull requests and GitLab merge requests; Model-agnostic, so you can match the model to your hardware and needs

**Limitations:** Requires you to run and maintain your own Ollama or LM Studio server; Limited adoption so far, with a small user base and few reviews; As a small third-party extension, its review depth depends entirely on the local model you point it at

[Profile (Markdown)](https://openaitools.app/tool/codereview-ollama.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 codereview.ollama and Cursor compare in monthly traffic?

codereview.ollama has 0 monthly visits, while Cursor has 23,297,751. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

codereview.ollama has a month-over-month growth rate of —; Cursor has +8.4%.

### How does pricing compare?

codereview.ollama: Free. Free. codereview.ollama is distributed as a free Chrome extension with no paid tier listed. You provide the compute by running your own model through Ollama or LM Studio, so any cost comes from your own hardware or hosting. 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 | [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 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.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 | [CodeRabbit](https://openaitools.app/tool/coderabbit) | 1,048,880 | +4.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI code review, PR triage, and security monitoring for fast-moving teams | [.md](https://openaitools.app/tool/coderabbit.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/codereview-ollama-vs-cursor

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