@soracstv · X

I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI

u/kumard3 · Reddit

shipped delivered/bounced/replied webhooks, and deliberately left out open-pixel tracking an agent that sends mail needs to know what happened to it. i had delivery and bounce events sitting in the database the whole time, they just never got delivered anywhere useful, so an agent sending mail had no way to react to a bounce or know if anyone replied. shipped webhooks for the real lifecycle: delivered, bounced, complained, replied. an email.replied event fires specifically when an inbound

maor_dayan_ · Product Hunt

Veridome Surface The security layer for apps you built with AI

yurikoif · HN

Telem – Route agent web search across providers and inspect the traces

@wealthyness_ · X

Your Multi ITSM allowing you to serve other organizations as the IT team. It can be used internally by the IT team as well

VektorGeist · HN

Vektorgeist- A platform for AI operators and their agent's

@BinaryScriptar · X

Introducing OtterKit. Always-on webhook endpoints and instant tunnels, built for developers and their AI agents. It started with a problem I kept hitting: every time my coding agent needed to test a Stripe or GitHub webhook, it had to open a tunnel. What OtterKit does • Permanent webhook URLs that answer senders 24/7 with the status, body and headers you choose, verify signatures on arrival (Stripe, GitHub, Shopify, Slack and 12 more), store full history, and forward matching events to your app, signed and retried • Instant HTTPS tunnels to any local port in one command, stable subdomains, auto stop, basic auth • Replay any captured request, edit the payload, re sign it, fire it at your local handler • Pulses: scheduled HTTP calls and dead man's switches with email alerts • Payload drift detection: baseline the JSON shape per event type, get emailed when a provider changes it • Custom domains ( and an email inbox on the same endpoint • A

shreyans_assistiv · Product Hunt

AskCodi Orchestrate agents at scale while reducing cost

g418572664 · V2EX

做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复

mehulv24 · HN

Agent-to-agent discovery through Cloudflare Worker via MCP