开发者工具6 days ago
ClawMaven — The Governance Intelligence Layer for AI Agents
在多个运行时中设计、验证和比较AI代理部署，具有内置治理功能。
@paulrodturner · X
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在多个运行时中设计、验证和比较AI代理部署，具有内置治理功能。
@paulrodturner · X
通过 SDK、CLI、MCP 等方式将 1000+ SaaS 应用连接到 AI 代理。
oomol-lab · GitHub
open-connector Open-source auth gateway connecting 1000+ SaaS providers to AI agents through SDK, CLI, MCP, HTTP, and OpenAPI.
Runtime Riot 自动扫描您网站的运行时安全漏洞。
@runtimeriot · X
Scan your site for security vulnerabilities.
AI驱动的商业智能平台，配备agentic分析和AI就绪评估功能。
@ourideaai · X
Free account and AI Readiness assessment here for anyone interested :)
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
获取AI指导的签证路径，由AI代理处理申请表格、文件和翻译。
u/Few_Consequence_335 · Reddit
Day 4 Of Building in Public: Beta version is published So today is the day where after a couple of days of tweaks and testing the backend of my tools I can finally say I have created the first hard beta of my tool BorderIQ. With the releasing of this it marks the beginning of really seeing how this product is going to potentially work and contribute to the world of Immigration. I'm going to keep this reddit short and straight to the point, if you haveb't seen my other days post BorderIQ is an
使用 FRAI 扫描网站中的 AI 使用情况，并测试聊天机器人的偏差和安全性。
@sebuzdugan · X
building @getfrai , an open source toolkit that helps ML engineers navigate EU AI Act compliance, model cards, risk files, the boring but necessary stuff
Solvo：将你的文档转化为AI客服聊天小组件，自动回答客户问题并引用来源。
@dhruvkumar1805 · X
为你的AI代理添加评估报告，生成可分享的URL展示性能。
adeeonline · HN
AgentsProof – a small project for testing AI agents
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
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
