Draft'n run VS Boxes.dev
Draft'n run VS Boxes.dev对比，Draft'n run 和 Boxes.dev 有什么区别？
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总结
Draft'n run 总结
Draft'n run empowers teams to design, deploy, and monitor AI-powered features faster than ever. Transform complex AI integration into an intuitive, visual process with full transparency, control, and scalability.
Draft'n run 着陆页
Boxes.dev 总结
Cloud dev environments for agentic coding. Run each Claude Code or Codex chat on its own computer in the cloud, connect from mobile and desktop, and code from anywhere.
Boxes.dev 着陆页
比较详细信息
Draft'n run 详细信息
| 类别 | AI智能体, AI工作流, AI聊天机器人, 无代码与低代码开发, 开源AI模型, AI助手 |
| Draft'n run 网站 | https://draftnrun.com?utm_source=toolify |
| 添加时间 | 2025年10月27日 |
| Draft'n run 定价 | -- |
Boxes.dev 详细信息
| 类别 | AI智能体, AI开发者工具, AI代码助手, AI智能助手, 无代码与低代码开发 |
| Boxes.dev 网站 | https://boxes.dev?utm_source=toolify |
| 添加时间 | 2026年6月8日 |
| Boxes.dev 定价 | -- |
使用情况比较
如何使用 Draft'n run？
Users can design sophisticated AI agents and production-ready AI workflows using a visual, drag-and-drop Studio with pre-built components, requiring no coding. Workflows can be tested in an an interactive Sandbox, monitored with comprehensive observability features, and integrated via REST APIs. The platform offers quick-start templates and can be accessed via a managed cloud version or by downloading the open-source platform.
如何使用 Boxes.dev？
To use Boxes.dev, move your project codebase into a cloud devbox using the CLI command `dvb init`. The platform automatically scans your local dev environment and creates a setup plan. Once approved, a coding agent recreates your dev environment in the cloud. You can then fork the primary VM to run tasks on their own machines, start Codex or Claude Code, and review, steer, or ship code from mobile, desktop, or CLI surfaces.
比较 Draft'n run 和 Boxes.dev 的优势
Draft'n run的核心功能
- Visual, drag-and-drop AI workflow builder (no code)
- Comprehensive AI observability and enterprise-grade monitoring
- Open-source platform with self-hosting capabilities and zero vendor lock-in
- Support for all major LLM providers, custom models, and on-premise deployments
- Rapid development and deployment of AI features in minutes
Boxes.dev的核心功能
- Full cloud computer per agent with isolated filesystem, services, and database state
- Instant snapshots and forks for running multiple agents in parallel
- Persistent terminal sessions and continuous background execution when offline
- Multi-surface control supporting macOS desktop, iOS/Android mobile, and scriptable CLI
- Localhost port forwarding that automatically follows the selected fork
- Cloud scheduled and webhook automation triggers (e.g., via Slack or Linear)
比较使用案例
Draft'n run的使用案例
- Building AI chatbots for various industries (e.g., real estate, e-commerce, SaaS, B2B)
- Automating complex AI workflows
- Deploying agentic AI solutions
- Creating enterprise-ready AI applications
- Transforming content discovery and valorization
Boxes.dev的使用案例
- Running multiple Claude Code or Codex tasks simultaneously on separate virtual machines
- Leaving complex coding agent tasks running overnight or while traveling without keeping a laptop open
- Reviewing agent threads, diffs, and approving or steering code changes directly from a smartphone
- Automating regular codebase tasks like weekly dependency audits triggered on a schedule
Draft'n run和Boxes.dev的不同计划
Draft'n run
Free
Get started with open-source platform and pay only for what you use with transparent LLM provider costs. Includes 1000 credits per day, option to bring-your-own-API-keys to avoid credits limitations, and community support. No credit card required.
Talk to us
Comprehensive solution for large organizations requiring enterprise-grade security, compliance, and custom deployment options. Features include on-premise deployment, RBAC and compliance features, dedicated account management, and custom integrations.
Boxes.dev
$0 / free
10 free box-hours, Main devbox + 2 awake forks, Unlimited sleeping forks, Bring your own Codex + Claude Code, Desktop, mobile, web, CLI
$19 / user / mo
40 included box-hours / mo, Main devbox + 4 awake forks, Unlimited sleeping forks, Prepaid overage at $0.75 / box-hour, Email support
$99 / user / mo
250 included box-hours / mo, Main devbox + 10 awake forks, Unlimited sleeping forks, Prepaid overage at $0.60 / box-hour, Priority support
Custom volume
Custom seat & box-hour pools, SSO, SCIM, RBAC, Audit logs and spend controls, Dedicated resources & deployment, Custom MSA, security review
Draft'n run的流量
Draft'n run 是月访问量为 2.3K 且平均访问时长为 00:01:00 的工具。 Draft'n run 的每次访问页数为 2.16，跳出率为 34.70%。
最新流量情况
| 月访问量 | 2.3K |
| 平均·访问时长 | 00:01:00 |
| 每次访问页数 | 2.16 |
| 跳出率 | 34.70% |
Boxes.dev的流量
Boxes.dev 是月访问量为 0 且平均访问时长为 00:00:00 的工具。 Boxes.dev 的每次访问页数为 0.00，跳出率为 0.00%。
最新流量情况
| 月访问量 | 0 |
| 平均·访问时长 | 00:00:00 |
| 每次访问页数 | 0.00 |
| 跳出率 | 0.00% |
地理位置
Draft'n run 的前 2 个国家/地区是：France 73.08%, India 26.92%
Top 2 国家/地区
 | 73.08% |
 | 26.92% |
地理位置
对不起，没有数据
流量来源
Draft'n run 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
流量来源
Boxes.dev 的 6 个主要流量来源是：邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Draft'n run 或 Boxes.dev哪个更好？
Draft'n run 可能比 Boxes.dev 更受欢迎。如您所见，Draft'n run 每月有 2.3K 次访问，而 Boxes.dev 每月有 0 次访问。 所以更多的人选择了Draft'n run。 因此，人们很可能会在社交平台上更多地推荐 Draft'n run。
Draft'n run 的平均访问持续时间为 00:01:00，而 Boxes.dev 的平均访问持续时间为 00:00:00。 此外，Draft'n run 的每次访问页面为 2.16，跳出率为 34.70%。 Boxes.dev 的每次访问页面为 0.00，跳出率为 0.00%。
Draft'n run 的主要用户是France, India，分布如下：73.08%, 26.92%。
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