🚀 Huge congrats on the PH launch, Kitty @kitty_lee1 & team! "Deploy AI agents like web apps" – that tagline alone made me click. As someone who spent way too long stitching together LangGraph + memory + sandboxed tools, I feel personally attacked by your "third option" pitch 😂
What I genuinely love:Framework-agnostic + polyglot – no vendor lock-in, no forcing me into a specific stack. Huge win.Built-in observability & model gateway – these are production must-haves, and you just ship them out of the box. Respect.One actionable suggestion: since you support CLI/Git workflows, how about adding a "Deploy from GitHub template" one-click flow (like Vercel does)? Let newcomers fork a pre-built agent template and have it live in 30 seconds – that would be an absolute conversion magnet.
And a quick question for you: what's the default timeout and resource limit for sandboxed tools? Is it configurable per agent? Didn't spot it in the docs – would love to know.
Definitely spinning this up tonight. Congrats again! 🔥
过去一年里，我看到越来越多的人——包括我自己——开始构建自己的AI智能体。如今，构建一个智能体从未如此简单。一个好点子和几个小时就能让你跑通一个demo。但真正的挑战从demo上线之后才开始。
突然间，你会面对一堆生产环境的问题：如何管理记忆？如何在沙盒环境中安全地运行工具？如何追踪和调试执行路径？当一百个用户同时使用时，如何扩展？以及如何全球部署才能保证速度？
大多数开发者最终不得不在两条痛苦的道路中做选择：花几周时间从零搭建所有基础架构，或者把自己锁死在一个限制性平台里，被迫使用它规定的框架、语言或模型。
我们想要第三条路。所以我们构建了Tencent EdgeOne Makers。
Tencent EdgeOne Makers是一个面向现代Web应用和AI智能体的边缘平台。它能融入开发者已经熟悉的工作流，支持熟悉的CLI、Git和CI/CD。你直接拥有内置的智能体运行时、沙盒工具、记忆、可观测性、模型网关支持、无服务器函数和存储，无需自己拼凑复杂的基础设施。换句话说，你可以像部署Web应用一样部署AI智能体。
我们保持平台完全开放。没有厂商锁定，也没有框架限制：
框架无关：开箱即用，支持Claude SDK、OpenAI SDK、LangGraph、CrewAI等。
多语言：完全支持JavaScript和Python。
灵活性：你可以根据应用需要选择任意模型或技术栈。
无论你是想把智能体接入现有的SaaS、网站或电商流程，还是从零构建全新的AI应用（比如AI招聘官、销售代表、数据分析师或健身教练）——Tencent EdgeOne Makers都能让你把时间花在产品上，而不是管道工程上。
今天很高兴能和Product Hunt社区分享这个产品。欢迎试试，问我们任何尖锐的问题，告诉我们你的想法！也可以加入我们的Discord和我们聊。
非常感谢大家的支持！
对于框架无关的支持，沙盒工具的执行在Claude SDK、LangGraph和CrewAI之间表现一致吗？还是说某些框架会得到更多的原生支持？
What I genuinely love:Framework-agnostic + polyglot – no vendor lock-in, no forcing me into a specific stack. Huge win.Built-in observability & model gateway – these are production must-haves, and you just ship them out of the box. Respect.One actionable suggestion: since you support CLI/Git workflows, how about adding a "Deploy from GitHub template" one-click flow (like Vercel does)? Let newcomers fork a pre-built agent template and have it live in 30 seconds – that would be an absolute conversion magnet.
And a quick question for you: what's the default timeout and resource limit for sandboxed tools? Is it configurable per agent? Didn't spot it in the docs – would love to know.
Definitely spinning this up tonight. Congrats again! 🔥
把AI智能体部署当作Web应用部署来对待，这个想法真有意思。Makers如何处理可能持续数小时甚至数天的长时间运行的智能体工作流？