
Skippr | The Live AI Employee, Serving Every User
嵌入式AI代理自动化客户入职和支持任务。
thisiskp_ · Product Hunt
Skippr AI The live AI employee inside your product, serving every user
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60 projects

嵌入式AI代理自动化客户入职和支持任务。
thisiskp_ · Product Hunt
Skippr AI The live AI employee inside your product, serving every user

检查AI代理输出和操作是否符合策略,获得批准、拒绝、重写或升级决定。
u/danielbaker06072001 · Reddit
Most AI agent SaaS is just bad security with a nice dashboard Give a new employee access to Stripe, GitHub, Slack, and your CRM on day one, and you’d call it reckless. Give the same access to an AI agent, and we call it “autonomous.” That isn’t innovation. It’s skipping basic security because the demo looks cool. Full disclosure: I’m building TrustLoopGuard around this problem, so I’m obviously biased. While testing one MCP connection, I realized I had decided what the agent could a

从浏览器或手机跨设备管理您的 coding agents。
@vilmire_tmp · X
Tired of alt-tabbing between terminals to check if my coding agents were done, stuck, or waiting on approval. So I built ADHDev: control Claude Code / Codex / Cursor CLI from your browser or phone, on every machine you own. AGPL self-hosted edition too.


Kifly让AI代理购物,您审批每笔交易。
roberttk1 · HN
A commerce Network built on UCP for agents to discover and Pay

为 AI 代理分配任务和管理依赖关系的优先级工作队列平台。
Olscore · HN
Pullboard – a work queue for agents, built to run a quant desk

用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans

为AI代理添加持久用户内存的SDK。
u/foric0 · Reddit
Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.

通过描述您的目标为 AI agent 获取实时服务器
@ServerForAgent · X

追踪目标和失败的LLM智能体,跨会话保存状态并展示每步推理。
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis

实时监控AI交易代理的交易和决策推理,完全透明。
u/Much-Section-7680 · Reddit
5 weeks live, 31 followers, 8 website clicks, 0 organic signups. I audited my own marketing today and it was brutal. I spent today auditing my own marketing instead of building, and the numbers were worse than I thought. Posting them because I read these threads for exactly this and almost nobody publishes the bad version. What I built: an LLM agent that runs your trading strategy on your own exchange account and keys. It wakes on a schedule and on price triggers, reasons in plain language,

通过单个预付账户为AI代理提供100多个API访问。
interface1860 · HN
TaskFuel – agents discover and pay per call for 100 APIs