
reachpad: infrastructure for your coding agents
在浏览器中持续运行和监控AI编码代理的基础设施。
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser
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在浏览器中持续运行和监控AI编码代理的基础设施。
sakuraiben · HN
Reachpad – Run all your coding agents from anywhere from the browser

保持AI代理活跃的基础设施,提供持久执行和状态管理。
iacguy · HN
Show HN: Durable AI agents without the workflow engine

Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

控制 AI 代理与外部系统交互的防火墙界面。
@lucasaimaster · X
The Firewall between agents and the Real World. Try it for today!

将AI代理连接到1400+个应用和15000+个操作的安全集成平台。
@KleiAliajj · X
Everyone is building AI agents. We’re building what they need to actually work. Give your codex , claude or any agent access to 1,400 apps and 15,000 actions and let it run your business.

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

提交策略代码,观看你的 AI 代理在确定性竞技场中对战。
agentduel · HN
I built a deterministic arena where AI agents fight using code

用AI代理运行个性化的产品演示来获取合格销售线索,并同步至HubSpot。
@meqekar · X
Agentic demo platform for GTM teams. It can showcase any product to any prospects without any rep. Helping pre-sales process get faster and shorten sales cycle with qualified leads. App >

在智能体原生云笔记本中运行和评估ML工作流。
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

无需服务器管理,即可创建并运行始终在线的Hermes代理。
@RyanRayMartin · X

用无代码可视化构建器和250+集成创建和部署AI代理工作流。
@Otogent · X

pondas - 用游戏方式指挥AI代理团队编写和部署软件
u/East_Operation1151 · Reddit
I built pondas: run a team of AI agents like a game to build an app I've been building this for a while and finally want to show it here. Most AI app builders are one model in a black box. You type a prompt, it guesses, and you hope what comes out works. I wanted the opposite: real control over how the AI builds. So in pondas you run a whole team of AI agents, and you control the loop they work in. What it actually does: - You describe an app in plain words and a team goes