# ML.ai vs Orca

ML.ai records 0 monthly visits with 0% month-over-month growth and Paid pricing. Orca records 1,025,891 monthly visits with +1% growth and Free, Open Source, Enterprise on request pricing.

| Metric | [ML.ai](https://openaitools.app/tool/ml-ai) | [Orca](https://openaitools.app/tool/orca) |
| :--- | :--- | :--- |
| Website URL | https://ml.ai | https://www.onorca.dev |
| Categories | AI Code Assistant, AI Code Generator, AI Code Review, AI Developer Tools | AI Code Assistant, AI Agent, AI Developer Tools |
| Pricing Model | Paid | Free, Open Source, Enterprise on request |
| Monthly Visits | 0 | 1,025,891 |
| MoM Growth Rate | 0% | +1% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 344,591 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 0 | 1 |
| Supported Platforms | Website | Website |

## ML.ai

ML.ai positions itself as the coding agent that never runs out - a direct jab at metered agents that stop mid-task when a token budget is exhausted. The product is a full agent, not a completion engine: you hand it an issue, it reads the relevant repository files, writes an explicit task plan, makes the edits, runs type checks, lint, unit and load tests, and opens a pull request. Nothing is written to disk until you allow it, and nothing merges until you approve it.

Two design choices stand out. First, a plan-and-approve guard: the agent declares which files it expects to change, you pick the tasks to run, and any edit that reaches outside the declared scope halts and asks first - asked once per turn rather than nagged continuously. Second, model routing: you set the outcome and an effort level (low, medium or high) and the agent routes each step to the model that fits it, rather than making you choose a vendor per request. In the vendor's own example, a five-step migration touches two models while staying inside a single task.

It runs anywhere you already work, from one account: a desktop app for macOS and Windows, IDE extensions for VS Code and JetBrains, and a CLI installable with a single curl script. Teams can launch many jobs in parallel across projects, each in its own sandbox, and end up with a set of pull requests to review. ML.ai publishes its own benchmark results (SWE-bench Verified 95.0%, SWE-bench Pro 92.6%, LiveCodeBench v6 83.4% on its flagship model) and cites enterprise customers, though as with all vendor benchmarks these should be treated as directional.

**Pricing & Plans:** Paid, per seat. Every plan includes the full agent and the differentiator is concurrency - how many jobs run in parallel - rather than a token budget. Individual plans target solo builders, while Team and Enterprise tiers add more parallel jobs; enterprise buyers can contact sales for a quote. Long-running jobs are not cut off partway by credit exhaustion.

- **End-to-end task completion:** Give it an issue and it reproduces the bug, edits the code, runs your tests and opens a pull request while you focus on decisions.
- **Plan-and-approve scope guard:** The agent proposes a task list and names the files it expects to change. You select the tasks, and edits outside the declared scope stop and ask first.
- **Model routing and effort levels:** Each step of a task is routed to the model that fits it, with the vendor abstracted behind an effort setting and a stated outcome.
- **Parallel sandboxed jobs:** Launch many jobs across projects at the same time. Each agent runs in its own sandbox and reports back with a reviewable diff.
- **App, IDE and CLI in one account:** The same account connects a desktop app for macOS and Windows, extensions for VS Code and JetBrains, and a terminal CLI via a single install script.

**Strengths:** Completes whole tasks including tests and PR creation; Scope guard halts edits outside declared files; Per-seat pricing removes mid-task budget stops; Same agent in desktop app, IDE and CLI

**Limitations:** Per-seat pricing is less flexible than pay-per-token for very occasional users; Claimed benchmark numbers come from the vendor's own evaluation runs; Full agent capability requires the desktop app, IDE extension or CLI rather than a browser-only workflow

[Profile (Markdown)](https://openaitools.app/tool/ml-ai.md)

## Orca

Orca positions itself as an "agent IDE" rather than a classic code editor. The core idea is that IDEs were designed around a single human editor, while AI-era workflows revolve around many agents working at the same time. Orca therefore organises work into projects, workspaces and worktrees: each task gets an isolated environment, and any agent CLI can be pointed at it.

The app bundles the pieces developers normally stitch together by hand — chat or terminal interfaces, a built-in browser with a design-inspection mode, split panes for diffs and files, a notes/editor surface and Git integration. A command-line interface mirrors the GUI, so agents themselves can create worktrees, start workers, drive the browser and schedule automations through Orca's own CLI.

Orca is cross-platform (macOS, Windows, Linux) with companion iOS and Android apps that notify you when an agent needs input so you can reply from your phone. It is distributed as free open-source software, and the project also offers a documented enterprise track and a plugin system for extending the environment.

**Pricing & Plans:** Orca is free and open source; the download and core product require no payment. A separate Enterprise offering is available, priced by contacting the team. The site does not publish a public price list for enterprise plans.

- **Parallel worktrees:** Each agent gets its own isolated Git worktree, so multiple agents can edit, test and build concurrently without conflicts.
- **Bring your own agent CLI:** Works with Claude Code, Codex, Gemini, Cursor CLI, OpenCode, Copilot, Cline and many other command-line agents using subscriptions you already have.
- **Integrated browser and design mode:** A built-in browser lets you click any element to copy its HTML, styles and selector, or screenshot a page and drop that context straight into an agent prompt.
- **Terminal, diffs and split panes:** Review AI output, run commands and arrange terminals, browsers, files and diffs in panes shaped to the task at hand.
- **CLI, plugins and mobile companion:** Orca's own CLI lets agents automate worktrees and workers, a plugin system extends the app, and iOS/Android apps keep you in the loop remotely.

**Strengths:** Free and open source, with no licence cost for the core product; Genuinely parallel workflow thanks to per-task Git worktrees; Vendor-neutral: works with many agent CLIs instead of locking you to one; Cross-platform with iOS and Android companion apps and an extensible plugin system

**Limitations:** Not a traditional IDE, so developers wanting a full editor experience may need a second tool; Newer product with fast-moving releases, which can mean occasional rough edges; Enterprise pricing is only available on request, so costs are not transparent up front

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

## Frequently Asked Questions

### How do ML.ai and Orca compare in monthly traffic?

ML.ai has 0 monthly visits, while Orca has 1,025,891. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ML.ai has a month-over-month growth rate of 0%; Orca has +1%.

### How does pricing compare?

ML.ai: Paid. Paid, per seat. Every plan includes the full agent and the differentiator is concurrency - how many jobs run in parallel - rather than a token budget. Individual plans target solo builders, while Team and Enterprise tiers add more parallel jobs; enterprise buyers can contact sales for a quote. Long-running jobs are not cut off partway by credit exhaustion. Orca: Free, Open Source, Enterprise on request. Orca is free and open source; the download and core product require no payment. A separate Enterprise offering is available, priced by contacting the team. The site does not publish a public price list for enterprise plans.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | An AI-native code editor optimized for multi-file generation rather than managing multiple parallel terminal agent worktrees. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides an extensive platform and desktop command center for parallel AI coding agents, but with a heavier proprietary footprint. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 3 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | The AI coding agent that turns ideas into shipped software | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 4 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | A spec-driven AI IDE and agent platform that plans, builds, reviews, and verifies real engineering work. | [.md](https://openaitools.app/tool/kiro.md) |
| 5 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) |
| 6 | [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) |
| 7 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE that handles full-project coding tasks, but lacks Orca's multi-agent parallel git worktree orchestration. | [.md](https://openaitools.app/tool/trae.md) |
| 8 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) |
| 9 | [Macroscope](https://openaitools.app/tool/macroscope) | 106,170 | +39.6% | Free Trial, Paid, Contact for Pricing | AI code review and status updates that keep every repo on track | [.md](https://openaitools.app/tool/macroscope.md) |
| 10 | [Termdock](https://openaitools.app/tool/termdock) | 64,756 | -24.3% | Free | A desktop workspace for coordinating multiple AI agent CLI tools, though less focused specifically on git worktrees. | [.md](https://openaitools.app/tool/termdock.md) |

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Source: https://openaitools.app/compare/ml-ai-vs-orca

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