Cursor 记录了 23,297,751 月访问量,月度环比增长为 +8.4%,定价为免费增值。ML.ai 记录了 0 月访问量,增长率为 0%,定价为付费。
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.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | cursor.com | ml.ai |
| 定价模式 | 免费增值 | 付费 |
| 月访问量 | 2329.78万 (23,297,751) | 0 (0) |
| 月度环比流量变化 | +180.03万 (+8.4%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (24.1%) | 🌐 全球 (—) |
| 直接访问 / 月 | 1468.38万 | 0 |
| 用户评分 | 4.7 | 4.4 |
| 支持的平台 | 网站 | 网站 |

打造宏大软件的 AI 编程智能体
智能体模式会规划改动、同时编辑多个文件、运行测试,并持续迭代直到任务完成。
后台智能体会启动独立环境,并行构建、测试并演示功能,然后把结果交回供审核。
快速的即时补全,加上全代码库的语义搜索与索引,让回答基于你真实的代码库。
可在多家厂商的前沿模型之间切换,也可以让 Cursor 针对每个任务自动选择模型。
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.
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.
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.
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.
Launch many jobs across projects at the same time. Each agent runs in its own sandbox and reports back with a reviewable diff.

专项更强Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories.

免费 / 开源拥有无与伦比的插件支持和官方 Copilot 集成,但缺乏 Cursor 那种开箱即用的深度代码库索引和智能代理编辑功能。
免费 / 开源会学习你编码品味的 AI 编程智能体
免费 / 开源让多个编程智能体在各自独立的 worktree 中并行运行
免费 / 开源覆盖整个软件开发周期的智能体编排平台