AI 智能体1 month ago
YAGNI. Proactive agent Teams you manage like humans.
用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
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用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
alink是一个AI代理，代表你回答消息和处理请求。
@xzensh · X
记 alink @alinkHQ 的第 n 次调整。 我把 丢给一个朋友，两天后他回复「牛啊，这个产品是不是比较超前啊，看了几遍才有点理解」。 一个懂技术的人需要看几遍，估计不懂技术的人看一眼就走了。 Fable 同学说，超前的不是产品，是叙事选择的入口。alink 把最超前的一层（智能体身份／关系／授权）当成了解释产品的入口，而它本可以只是信任背书。产品里最不超前的部分——「有人找你时，有个东西替你接待」——是千年老需求：秘书、前台、门房、答录机。AI 没有创造这个需求，只是第一次让个人也雇得起一个前台。 新的调整已经上线了，请帮我看看，如果你觉得还有问题或者有建议，欢迎通过 反馈。 对于高质量的建议我们赠送1年 alink Pro 会员。
购买和测试AI代理来自动化繁琐的商业和生活任务。
@coastallife831 · X
Everyone sells one AI chatbot. We sell 80 specialists you can test-drive instantly.
发现并购买 AI 代理能力的市场。
b_radford · HN
Fund an agent once – prepaid USDC key for HTTP 402 tools (Solana)
通过回答问题构建AI代理，导出到Claude Code。
@manu_jsx · X
Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.
使用 AI 代理自动化初创企业运营：社交、博客、SEO、营收和安全。
u/Background-Bed-8866 · Reddit
I built an AI back office that handles startup operations while I focus on shipping I build an AI back office for founders because I was tired of juggling 15 different SaaS tools for blogging, SEO, docs, analytics, customer support, and launches. Today I finally launched on Product Hunt. Happy to answer anything about the architecture, pricing, or why I chose specialized agents instead of one general assistant. try it out: Astrodesk submitted by /u/Background-Bed-8866 to r
在云平台构建和部署AI代理，支持持久线程、Webhook和计划任务。
@computer_agents · X
基础设施平台，连接 AI agents 到 800+ OAuth 集成，支持沙箱代码执行。
abskrj · Product Hunt
Velane Cloud for your AI Agent's tools and functions
Ultra-specialized secure AI agents to propel your revenues.
@TharejaRushil · X
Orca是用于构建和部署AI代理的平台，提供隔离执行和成本计量。
@okiktech · X
在平台上管理和同步你的AI Agent技能配置，避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.
