01 / Technologies / AI / ML

Detect LangChain in any GitHub repo

LangChain is a framework for building LLM-powered applications with chains, agents, retrieval and tool integrations.

Why show LangChain on your README

AI tooling changes fast; the card reads the actual Python or JS dependencies so the AI section is never out of date.

How LangChain is detected

Stack Fingerprint reads the repo's full file tree in one GitHub API call and flags LangChain when it finds any of these:

  • Dependencies in package.json: langchain, @langchain/core
  • Dependencies in Python (requirements.txt / pyproject.toml): langchain

LangChain README badge

A static badge you can paste anywhere in Markdown:

LangChain badge

Markdown
![LangChain](https://img.shields.io/badge/LangChain-1C3C3C?style=for-the-badge&logo=langchain&logoColor=white)

Or let the repo describe itself

Static badges go stale the moment you swap a dependency. A Stack Fingerprint card is generated from the repo, so LangChain (and everything around it) appears or disappears on its own:

Tech stack card for langchain-ai/langchain
langchain-ai/langchain · generated live from the repo
README.md
[![Stack Fingerprint](https://stackfingerprint.vercel.app/api/card?repo=OWNER/REPO)](https://stackfingerprint.vercel.app/?repo=OWNER/REPO)

Replace OWNER/REPO with your repository, or open the builder to pick a theme and layout.