工具简介
Agent 37 是「开发者工具与 API」分类下的一款 AI 工具,资费以官网说明为准,可在网页端上使用。官网域名是 agent37.com。
如何使用
- 打开 agent37.com 并注册账号,了解可用的能力与配额
- 按文档创建项目或获取访问凭证
- 在本地或测试环境按示例完成一次最小调用
- 验证通过后接入正式项目,逐步扩大使用范围
查看官网原文(英文)
以下为收录时的原文,语言与页面不同,未做翻译。
Agent37 hosts and runs Claude skills on its infrastructure, letting creators upload MCP-configured skills without local setup. It provides shareable embedded links, centralized updates and versioning, analytics, onboarding, and monetization tools.
官网介绍
Run Hermes, OpenClaw, Claude Code, or Codex around the clock. Deploy yours in one click from $3.99/mo, or create agents for your users with one API call.
官网要点
- One click, or one API call
- Deploy from the dashboard
- Create agents over the API
官方常见问题
- Can I bring my own API keys or AI subscriptions?
- Yes. On Basic you bring your own keys, and they go from your container straight to the model provider. You can also sign in with subscriptions you already pay for, like ChatGPT or Claude. Plus and above add bundled free models, GPT-5.6 Luna, DeepSeek V4 Flash and Mercury 2, with usage limits on a rolling 5-hour window plus a weekly cap.
- Can I connect my own WhatsApp, Telegram, or Slack?
- Yes. Your agent talks through your own accounts on WhatsApp, Telegram, Discord, Slack, and the other channels OpenClaw and Hermes support, plus 1,000+ app integrations like Gmail, GitHub, and Google Calendar in one click through Composio.
- I'm building a product. Do my users each get their own agent?
- Yes. The Agent 37 Cloud API creates one isolated sandbox per user, each with its own disk and URL, from $1.99 per agent per month, billed per minute. You hold the API key, and you can white-label the whole thing under your brand.
- Do you train AI models on my data?
- No. Nothing your agent reads, writes, or says is used to train a model, and we do not collect your conversations, files, or terminal sessions. That commitment is in our Terms.
- Is there any lock-in?
- No. Your files and keys live inside your container, your workspace is plain files you can download through the file browser or terminal anytime, and you can cancel from the dashboard whenever you like. You keep access through the period you already paid for.
编程与调试 · 常用提示词
下面这些都能直接复制,把里面的变量换成你自己的情况就能用。
- SQL 优化:先看执行计划再改给出慢 SQL 与表结构,输出索引建议、改写方案与预期收益,并要求它说明代价。
- 补单元测试:覆盖边界而不是覆盖行数给定函数,产出测试清单(正常/边界/异常三类),并指出哪些用例其实测不到东西。
- 代码评审:按「会出事」排序输入 diff,输出按严重度排序的问题清单,每条给复现条件与修法。
同类工具怎么选
下面是同一类目下已经写好的对比与替代清单。读完这个工具能做什么,接着看它和谁比、有没有更顺手的方案。
开发者工具与 API类工具的对比
- Dify、扣子的对比Dify 和扣子的横向对比:私有化部署、模型自由度、零代码编排、渠道发布,附选型结论。
- n8n、Dify的对比n8n 和 Dify 的横向对比:系统集成、LLM 编排、知识库、自托管成本,附选型结论。
- 扣子、n8n的对比扣子和 n8n 对比:搭建门槛、模型接入、系统集成能力、数据合规与部署方式,附选型结论与组合用法。
编程开发类工具的国内替代
- Amazon Q Developer 国内替代Amazon Q Developer 强在和 AWS 生态绑定:查文档、改配置、迁移版本都能在控制台里完成。不上 AWS 的团队用它价值有限。这份清单给出国内云与本地开发场景的对应选择。
- Lovable 国内替代Lovable 用对话直接产出可部署的前端应用。国内同类工具已经能接住大部分原型需求,差别在「生成之后能不能改」和「能不能接自己的后端」。这份清单按落地深度排序。
- Cline 国内替代Cline 是开源的 VS Code 编程 Agent,自己填 API Key、自己承担调用成本。国内有同形态的工具,但多数是托管服务。这份清单说清「开源自托管」与「开箱即用」各自适合谁。
对比结论与替代建议为编辑整理,价格与额度以各工具官网为准。
