
Computer Agents | Agentic Compute Platform
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
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技术栈
22 projects

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

在统一终端界面中协调多个 AI 编码代理和项目。
@soracstv · X
I run my AI coding agents with AgentsRoom, a visual command center for multi-agent development. @AgentsRoomDev #VibeCoding #AI

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

AI代理雇佣人类完成真实任务的市场,支持MCP和API集成。
@rentahumanx · X

发现并分享适用于Claude和Cursor的可复用AI智能体技能。
Skills.lc — AI 技能、Prompt、工作流和 Agent 分享平台,帮助发现和沉淀 AI 使用经验

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

多智能体LLM系统的可视化编辑器,支持本地推理。
sascha10000 · HN
Multi-agent LLM editor with local inference via WebSockets

使用 Claude Code 构建可通过 SMS 与外部系统交互的 AI agent。
jacobgc · HN
Outside Agent – Build SMS Agents from Claude Code

与AI渗透测试代理聊天扫描Web应用和API的安全漏洞。
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.

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

在多个AI编程环境中部署编排器生成和管理代理。
@EnzoV_sc · X
I’ve built a skill for agent orchestration so I don’t have to explain any session how to manage the next task. Pretty useful Through I can make my orchestrator spawn as many agents as it needs, from all harnesses (Claude Code, Codex, Grok Build etc..)

浏览和安装为开发、营销和业务设计的AI agent skills。
@iamtrebuh · X
I’m building an AI skills marketplace -