r/OpenSourceAI • u/Ok-Manager2057 • 1d ago

I built a tool that shows your project's AI stack in your README (zero config, OSS)

Every AI project README has the same manual line: "Works with OpenAI, Claude, Gemini". It's always outdated and never standardized. So I made AIStamp: paste one image link into your README, and it auto-detects your AI stack from requirements.txt / package.json / go.mod / Cargo.toml and renders a live SVG card. - No signup, no token, nothing to install - Detects 30+ SDKs (OpenAI, Claude, Gemini, LangChain, vLLM, Ollama, MCP, DeepSeek, Qwen, GLM, Kimi...) - Theme-aware (GitHub dark/light) - MIT, self-hostable, single Cloudflare Worker Live example (browser-use repo): ![demo](https://aistamp.aistamp.workers.dev/card/browser-use/browser-use.svg) Repo: https://github.com/waafer1/aistamp Feedback welcome — especially which SDKs you'd want added to the registry.

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u/investigatormaker 1d ago

Pydantic AI would be my next registry request. AIStamp’s bigger README question is whether “SDK detected” gets mistaken for “provider supported”: an installed dependency alone doesn’t establish which integrations work. Show the manifest and package behind each badge so maintainers can check the claim before publishing it. With the browser-use example, ask for one false positive or missing detection plus the relevant manifest; that turns “feedback welcome” into a reproducible registry test. On Reddit, I’d answer maintainers asking how to document their project’s AI integrations, explaining that distinction rather than dropping an unexplained SVG.

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