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24 projects
在统一终端中同步管理多个AI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
利用 AI 恢复和增强旧照片，修复损伤、添加颜色并提高清晰度
@Umitech_AU · X
AI photo restoration without the AI slop.
在工作空间中组织项目、任务和路线图，支持 AI 上下文导出。
@Fluxify_pro · X
everyone who sign up today, get free pro plan, without credit card
免费验证、修复、格式化 JSON 和 XML；监控 API 响应变化。
@SupportFixzi · X
Building an API monitoring tools which allows you to know when your AI breaks, before your users do. It has an API monitoring tool and an AI schema validator in it. This is a solution that can ensure your customers trust your app.
seus.ai 自动设计、构建和部署软件系统。
@Bim_evaporates · X
Check out DMs open
项目管理、文档和测试管理的一体化工作空间。
@klorityx · X
One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.
用可视化编辑器设计、测试和发布AI就绪的API。
@milonspace · X
A specification nobody can find is functionally the same as no specification.
用AI协助管理产品开发、路线图、任务和反馈投票。
@jimmy_harika · X
TLDR: Notion shipped my exact app that I have using in my daily workflow from last 2 years. Try here: It got a mcp that wires to your claude code and codex. Git integration is almost complete and will ship in coming days
连接工作工具，用 AI 分析团队冲刺回顾，发现改进机会。
@akadhanu · X
an ai sprint retrospectives for it teams (
ForgeLab Brain：多个AI智能体协作编程，自动验证和修复错误
@ForgeLab_Brain · X
Open beta launched. See more here: 🌐 #VibeCoding #BuildInPublic #IndieHacker #AIdev
可嵌入的可视化工作流编辑器，支持AI驱动或纯逻辑设计。
tahazsh · HN
Hi! I’m Taha. In many agentic products that support workflows (including one I worked on), I noticed they either don’t support node-based editors, or use React Flow and go through the difficult work of integrating it into their product to run it and work with their existing logic. So I thought about creating a tool that could help with this by closing the gap between the editor and the runtime. That’s why I created Wayflow. The basic architecture is simple: you just need to create a graph (which is a JSON object) that the runtime knows how to run. The runtime doesn’t care where that graph is coming from, it just needs the right schema. And with the help of the editor, you can create the graph, and then export it or directly save it on your backend in your database. And then when you want to execute it, you just hand it to the runtime. The runtime can either stream the execution (which is useful for the editor), or give you the final result. How you execute the graph is up to you: t
