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技术栈
60 projects
开源网站监控工具，支持多区域检查、警报和公共状态页。
@sl1ma4 · X
OpenAI 兼容 API 网关，统一接入 Claude、GPT、Gemini、Grok 等主流模型。
@xiuai_lab · X
我们自建 ChatGPT Pro 20x 和 Claude Max 20x 号池上线了，最专业最亲民的价格和服务，不需要 api的用户也有官方低价代购服务。有哪位懂 claude 和 chatgpt 含金量的用户不想试试呢？ API Token 服务： AI 账号代购服务：
集成包管理器的编程语言，用于编写和共享代码
u/KILLinefficiency · Reddit
The Kal Package Manager Hey everyone, A couple of weeks ago, I posted about Kal, my programming language written from scratch. I am really happy to share a glimpse of Kal's own package manager! Kal v0.1.0 shipped with a package system that lets you add and use third party Kal packages. But, that process was completely manual. You’d have to clone the package, place it in the right directory, clone the package’s entire dependencies all by yourself, one after another. :( The package manag
通过 OpenAI 兼容的 API 网关运行 OCR、VLM 和视觉模型,提供 21 种模型选项。
dr_blueberry · HN
Run open-weight OCR, VLM and vision models behind one API
在GitHub上找初学者友好的开源问题，追踪你的贡献。
@anni_i02 · X
FeedLog是开源AI反馈工具，免费收集和管理用户需求。
@kngkng182542 · X
If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.
使用自主AI代理监控和保护云基础设施。
pydavid · HN
Argonix – One AI-powered platform for SRE and cloud operations
通过隐私保护的API访问中国开发的开源AI模型。
@Jenny5143197635 · X
A GitHub-backed wiki for Open Knowledge Format bundles
aiobe · HN
I built Commonplace because I wanted to learn more about Google's Open Knowledge Format for knowledge sharing with human and agents. At the same time, Atlassian announced it will start using customer cloud data to train its AI models (opt-out is Enterprise-only), which made a self-hosted Confluence alternative feel timely. The idea: - Use a Git repository that follows Open Knowledge Format with plain Markdown - Commonplace is just a stateless frontend on top (nice UI, but no database, no backups
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
在 Cloudflare 上一键部署 OpenAI 兼容的 AI 端点。
mistakevin · HN
OpenAI-Compatible Cloudflare AI Endpoint Generator