# ML.ai 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，ML.ai（ml.ai）是一个收录在 AI 代码助手下的 AI 平台，月访问量为 0，月度环比流量变化为 +0（0%）。其主要地理市场为全球（— 流量份额），采用付费定价模式。按月流量计算的主要竞争替代方案包括 Devin（254.93万次访问/月），Command Code（235.82万次访问/月），Cursor（479.01万次访问/月）。 ML.ai is a coding agent that ships whole tasks rather than autocompleting lines. Hand it an issue and it reads the repo, writes a task plan, edits the code, runs your tests and opens a pull request - routing each step to the model that fits it while showing every diff before anything is written to disk. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | ML.ai | | 标识 | ml-ai | | Status | active | | Origin | independent | | Maintenance | active | | 官方域名 | ml.ai | | 官网地址 | https://ml.ai | | 分类 | AI 代码助手, AI 代码生成器, AI 代码审查, AI Developer Tools | | 定价模式 | 付费 | | 月访问量 | 0 | | 月度环比流量变化 | 0 | | 月度环比增长率 | 0% | | 主要市场 | 全球 | | 市场份额 | — | | 直接访问量 | 0 | | 自然搜索访问 | 0 | | 社交访问 | 0 | | 推荐访问 | 0 | | 邮件访问 | 0 | | 评价得分 | 4.4 | | 收藏数 | 0 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 功能: 网站; 定价: 付费; 定价: 定价请咨询 | | 标签 | 编程智能体, AI 代码评审, PR 审查工具, GitHub 应用, VS Code 扩展, Cursor, CLI | ## 概览 ML.ai is a coding agent that ships whole tasks rather than autocompleting lines. Hand it an issue and it reads the repo, writes a task plan, edits the code, runs your tests and opens a pull request - routing each step to the model that fits it while showing every diff before anything is written to disk. ## 定价与套餐 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. ## 关键功能与能力 - **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. ## 主要用例 - **Parallel backlog clearing (Platform and infra engineers):** Queue several dependency bumps, CI triage jobs or small refactors at once, each in its own sandbox, and review the resulting pull requests. - **Overnight refactors (Feature teams):** Assign a repetitive migration or call-site rewrite and let it run overnight without pausing halfway for a credit top-up. - **In-editor assistance (Solo builders):** Keep working in VS Code, JetBrains or the terminal while the agent produces a diff in the background, then review it when it is ready. - **Automated review gates (Engineering leads):** Every change arrives with type checks, lint and test results attached, and nothing merges until a human approves, which fits review-heavy workflows. ## 优势 - 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 - Vendor takes responsibility for model selection ## 局限 - 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 ## 常见问题 ### What is ML.ai? It is a coding agent available as a desktop app for macOS and Windows, an IDE extension for VS Code and JetBrains, and a CLI. It reads your repository, plans a task, makes edits, runs checks and opens a pull request for your review. ### Can the agent change files I did not approve? Every run starts with a task list that names the files the agent expects to touch. You approve the tasks, and any edit that reaches outside the declared scope stops and asks first. Nothing is written to disk until you allow it, and nothing merges without your review. ### Which models does it use? You set the outcome and the effort level (low, medium or high) and the agent routes each step to the model that fits it. Reviews describe routing work across the model pool rather than pinning a single vendor. ### Can I run several jobs in parallel? Yes. You can launch many jobs at once across projects, with each agent working in its own sandbox and reporting back a diff for review. The number of parallel jobs depends on your plan. ### How does pricing work? Pricing is per seat rather than per token, so a long job runs to completion instead of stopping partway through a budget. Individual and team or enterprise plans are available, and enterprise buyers can contact sales for a quote. ### ML.ai 的月流量和增长趋势如何？ ML.ai 目前每月获得 0 访问量，月度环比流量变化为 +0（增长率 0%）。其主要来源市场是全球（— 份额），包括每月 0 次直接访问和每月 0 次自然搜索访问。 ### ML.ai 免费吗？它的定价模式是什么？ ML.ai 采用付费定价模式。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. 支持的计费和结账平台包括：未列出。 ### 2026 年 ML.ai 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，ML.ai 的前五个替代方案是：1. Devin（254.93万次访问/月）; 2. Command Code（235.82万次访问/月）; 3. Cursor（479.01万次访问/月）; 4. GitLoop（9501 次访问/月）; 5. Macroscope（10.62万次访问/月）。 ### ML.ai 支持哪些平台和核心 AI 能力？ ML.ai 被归类在 AI 代码助手, AI 代码生成器, AI 代码审查, AI Developer Tools 下，支持以下平台：网站，其核心能力标签包括：编程智能体, AI 代码评审, PR 审查工具, GitHub 应用, VS Code 扩展, Cursor。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [Devin](https://openaitools.app/zh/tool/devin) | 2,549,346 | 付费 | [对比](https://openaitools.app/zh/compare/devin-vs-ml-ai) | | [Command Code](https://openaitools.app/zh/tool/command-code) | 2,358,177 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/command-code-vs-ml-ai) | | [Cursor](https://openaitools.app/zh/tool/cursor-sh) | 4,790,129 | 免费增值 | [对比](https://openaitools.app/zh/compare/cursor-sh-vs-ml-ai) | | [GitLoop](https://openaitools.app/zh/tool/gitloop) | 9,501 | 免费增值 | [对比](https://openaitools.app/zh/compare/gitloop-vs-ml-ai) | | [Macroscope](https://openaitools.app/zh/tool/macroscope) | 106,170 | 免费试用，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/macroscope-vs-ml-ai) | | [Augment Code](https://openaitools.app/zh/tool/augment-code) | 326,215 | 免费增值，免费试用，定价请咨询 | [对比](https://openaitools.app/zh/compare/augment-code-vs-ml-ai) | | [Kiro](https://openaitools.app/zh/tool/kiro) | 3,330,476 | 免费增值 | [对比](https://openaitools.app/zh/compare/kiro-vs-ml-ai) | | [Trae](https://openaitools.app/zh/tool/trae) | 702,366 | 免费增值 | [对比](https://openaitools.app/zh/compare/ml-ai-vs-trae) | | [Bito](https://openaitools.app/zh/tool/bito) | 63,829 | 免费增值，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/bito-vs-ml-ai) | | [CodeMate AI](https://openaitools.app/zh/tool/codemate-ai) | 14,189 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/codemate-ai-vs-ml-ai) | | [CodeReviewBot.AI](https://openaitools.app/zh/tool/codereviewbot-ai) | 2,515 | 免费增值，免费试用，付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/codereviewbot-ai-vs-ml-ai) | | [Orca](https://openaitools.app/zh/tool/orca) | 1,025,891 | Free, Open Source, Enterprise on request | [对比](https://openaitools.app/zh/compare/ml-ai-vs-orca) | --- 来源：https://openaitools.app/zh/tool/ml-ai