# Cursor vs Manaflow

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Manaflow records 0 monthly visits with 0% growth and Open Source / Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Manaflow](https://openaitools.app/tool/manaflow) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://manaflow.ai |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Agent, AI Workflow, AI Developer Tools, AI Spreadsheet |
| Pricing Model | Freemium | Open Source / Contact for Pricing |
| Monthly Visits | 23,297,751 | 0 |
| MoM Growth Rate | +8.4% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 14,683,770 | 0 |
| Review Score | 4.7 | 4.4 |
| 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)

## Manaflow

Manaflow has evolved into an open-source applied AI lab focused on developer tooling. Rather than an office-automation spreadsheet product, the project now ships tools for engineers who work with AI coding agents day to day. Its flagship is cmux, an open-source terminal purpose-built for coding agents.

The lab's work centres on a practical problem: modern developers juggle several AI coding assistants at once, and running them serially is slow. Manaflow's tooling spawns agent CLIs in parallel across multiple tasks, giving each run its own isolated environment — described on the site as an isolated VS Code instance via Docker, with a git diff UI and terminal — so agent work stays separated and reviewable.

The project is open source and distributes its code through GitHub, with a community reachable via GitHub, Discord, LinkedIn and a contact link. Manaflow does not publish self-serve pricing on its website: the /pricing page returns a 404, so commercial engagement appears to be arranged directly with the team rather than through public plans.

**Pricing & Plans:** No public pricing is published. The site has no self-serve plans and /pricing returns a 404, so licensing or commercial engagement is presumably arranged directly with the Manaflow team. The core tooling is described as open source and is distributed via GitHub.

- **cmux open-source terminal:** A terminal built specifically for coding agents, released as open source and available through GitHub.
- **Parallel agent execution:** Runs multiple AI coding agent CLIs across separate tasks at the same time instead of one after another.
- **Broad agent support:** Aimed at assistants including Claude Code, Codex, Gemini CLI, Amp and Opencode.
- **Isolated per-run environments:** Each run gets its own isolated environment — described as a Docker-based VS Code instance — with a git diff UI and terminal.
- **Open-source codebase:** Source code is public on GitHub, with the community reachable through GitHub, Discord and LinkedIn.

**Strengths:** Open source, with code publicly available via GitHub; Directly targets the real pain point of running multiple coding agents concurrently; Isolated per-run environments with a git diff UI make agent changes easy to review; Supports a wide range of popular agent CLIs rather than locking users into one vendor

**Limitations:** No public pricing or self-serve plans published on the website; Aimed at developers and teams already using agent CLIs, so there is a setup learning curve; As an early-stage lab project, some tools may still be evolving quickly

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

## Frequently Asked Questions

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

Cursor has 23,297,751 monthly visits, while Manaflow has 0. 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%; Manaflow has 0%.

### 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. Manaflow: Open Source / Contact for Pricing. No public pricing is published. The site has no self-serve plans and /pricing returns a 404, so licensing or commercial engagement is presumably arranged directly with the Manaflow team. The core tooling is described as open source and is distributed via GitHub.

## 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 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.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 | [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) |
| 10 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |

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

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