完整作品展
技术栈
36 projects
使用 DeepSeek 和 OpenAI 等 AI 模型自动审查 GitLab 代码。
AI Codereview for Gitlab — 基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具；支持钉钉/企业微信/飞书推送消息和生成日报；支持Docker部署；可视化 Dashboard - [查看仓库](https://github.com/sunmh207/AI-Codereview-Gitlab)
通过透明代理监控 Anthropic 和 OpenAI API 的每次请求 token 用量、成本和会话树。
u/Prestige_pvp · Reddit
Simple AI Token Profiler / Debugger We made a simple profiler to help optimize AI token spend. Generally speaking anytime you want to optimize your app, whether it's for memory or otherwise you typically start with a profiler. There are a ton of MiTM Gateways but there aren't many true profilers, so I thought I'd make one. https://profiler.getrekon.com/ Let me know what you think :) submitted by /u/Prestige_pvp to r/SideProject [link] [comments]
Aurora - 本地AI代理验证系统，提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
与AI代理聊天，实时扫描网络应用和API中的漏洞。
@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.
查找与你的硬件兼容的 AI 模型，了解性能和价格估计。
cdnsteve · HN
Tokenstead, find AI models for your hardware
使用 MonoCloud 为应用添加认证，支持通行密钥、SSO 和多因素验证。
roguetink · Product Hunt
MonoCloud for Startups One identity layer for your customers, APIs, and agents
为AI代理提供隐私优先的搜索API，支持匿名访问和结构化输出。
chrismessina · Product Hunt
AnySearch Real-time structured search trusted by agents and developers
针对印度酒店的AI预订引擎，支持WhatsApp预订和自动化客人询问处理。
@SandeepHegde · X
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
扫描AI提示词和端点的漏洞，实时监控生产LLM的安全性和合规。
@CognisafeUK · X
在GitHub pull requests上自动生成代码文档。
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
免费 AI 聊天，支持多个模型（Grok 4 Fast、DeepSeek V3.1 等），无需登录。
Free AI for Everyone — 无需登录、完全免费的 AI（模型包括 Grok 4 Fast、DeepSeek V3.1 等）。可选择的模型以后可能会有所调整，但这个服务会长期提供，并且完全免费
