AI 智能体1 month ago
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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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
用友好界面管理AI代理团队。
jackcollinshq · Product Hunt
YAGNI Proactive agent teams you manage like humans
AI 代理的统一上下文层，集成邮箱、Drive、Slack、Notion 和 GitHub。
@marcin_u2 · X
-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)
通过MCP、API和CLI连接AI代理的电子邮件平台。
@Mailpipe_dev · X
AI-native email with human oversight
在可视化画布上设计生产级 AI 智能体。
@salmanzafar949 · X
向AI团队负责人分配任务,由其调度AI专家完成工作。
@StevenCen75554 · X
我们最新推出的 Product Hunt 上线了！ 专为电商团队而生，让你只需一句话，就能拥有一整支 AI 团队——写SEO Blog、做用户调研、优化Listing、生成AI短视频，全都不在话下。不用招人，不用在一堆工具间来回切换，只需要说出你想要什么。 专为想要「一个人打出一支团队的仗」的电商运营团队打造。 如果这个理念打动了你，今天的一个 upvote 对我们来说意义重大 🙏 #ProductHunt #BuildInPublic #AIAgents #IndieHackers
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
MCP协议任务队列，让AI编码代理请求和完成工作。
JulianQuinn · HN
Show HN: TaskPeace – a task queue my AI coding agents pull work from over MCP
Constellation Gate AI为AI代理提供网关,防止提示词注入、扫描密钥并节省token
benjamin_jorgensen1 · Product Hunt
Constellation Gate AI Prompt injection and token savings - #1 in benchmarks
用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
跨提供商治理、追踪和防护 AI 代理的安全平台
camsjams · HN
Lineation – One security control plane for all agents
云端个人AI助手，自动化工作流、驱动浏览器和执行研究。
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe