Command Code 记录了 2,358,177 月访问量，月度环比增长为 -12.1%，定价为免费增值，定价请咨询。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 | commandcode.ai | ml.ai |
| 定价模式 | 免费增值，定价请咨询 | 付费 |
| 月访问量 | 235.82万 (2,358,177) | 0 (0) |
| 月度环比流量变化 | -32.57万 (-12.1%) | 0 (0%) |
| 主要市场与份额 | 🇨🇳 中国 (47%) | 🌐 全球 (—) |
| 直接访问 / 月 | 174.96万 | 0 |
| 用户评分 | 4.3 | 4.4 |
| 支持的平台 | 网站 | 网站 |
会学习你编码品味的 AI 编程智能体
持续强化学习层把每一次采纳、拒绝和手动编辑变成信号，再把反复出现的模式转化为可复用的项目级技能。
自动修复格式错误的工具调用，让较弱的开放权重模型也能可靠完成智能体循环，接近前沿模型的水平。
交互式 CLI 用于结对，无头标志用于脚本化，后台沙箱智能体则用于更长时间的自主任务。
自定义 /agents 与持久化 /memory 跨会话携带项目上下文，让你不必反复解释代码库与规范。
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Offers industry-leading reasoning and artifact generation, but lacks direct terminal-first integration and local preference memory.
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
