01
5453.4万/月
AI 驱动的虚拟主机平台，将基于提示的网站搭建与一键托管 OpenClaw 智能体部署相结合。
AI Agent编辑评分：4.4付费+3.9%
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头对头基准测试
Makeform vs n8n
Makeform 记录了 160,692 月访问量，月度环比增长为 -10.8%，定价为免费增值。n8n 记录了 4,522,449 月访问量，增长率为 -7.4%，定价为免费增值。
Makeform 记录了 160,692 月访问量，月度环比增长为 -10.8%，定价为免费增值。n8n 记录了 4,522,449 月访问量，增长率为 -7.4%，定价为免费增值。
为 AI 智能体与技术团队打造的开源工作流自动化平台
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | makeform.ai | n8n.io |
| 定价模式 | 免费增值 | 免费增值 |
| 月访问量 | 16.07万 (160,692) | 452.24万 (4,522,449) |
| 月度环比流量变化 | -1.96万 (-10.8%) | -36.17万 (-7.4%) |
| 主要市场与份额 | 🇺🇸 美国 (13.1%) | 🇮🇳 印度 (13.2%) |
| 直接访问 / 月 | 5.88万 | 156.52万 |
| 用户评分 | 4.2 | 4.7 |
| 支持的平台 | 网站 | 网站 |
说出需求，让 AI 帮你搭好表单
用自然语言描述需求，Makeform 会自动起草题目、结构、文案和逻辑。
在同一份表单中组合支付、签名、文件上传、评分、排序、矩阵、日期和计算字段。
支持条件分支、基于变量的计算、用于 URL 参数的隐藏字段，以及答案引用来实现个性化表单。
可从反馈、客户接待、报名、测验、问卷等现成模板起步，无需从零搭建。
为 AI 智能体与技术团队打造的开源工作流自动化平台
用可视化节点编辑器搭建自动化，需要自定义逻辑时插入 JavaScript 或 Python 代码节点。
可连接 500+ 原生服务、通过 HTTP 节点调用任意 REST API，并通过 MCP 接入任意智能体或编程助手。
智能体与普通步骤同流程运行，每一步决策可查看，并可加入结构化输入、护栏与人工审批。
实时查看工作流执行，打开历史运行，用模拟数据重放，并只重跑失败的那一步。
AI 驱动的虚拟主机平台，将基于提示的网站搭建与一键托管 OpenClaw 智能体部署相结合。
Muse is Meta's personal AI agent that takes on real everyday tasks — from sorting email and booking reservations to shopping, managing calendars and building fitness plans — using its own secure virtual computer in the cloud.
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Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.
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TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
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