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About
Langtorch🔥
[](https://choosealicense.com/licenses/mit/) [](https://discord.gg/BUSyZQAPvm)
Building composable LLM application with Java.
🚨⚠️ Warning: This library is still in active development and is not ready for production use. ⚠️🚨
🚀 Getting started:
Check out Maven Central Repo for previous versions
ai.knowly
langtorch
VERSION
📄 Documentation (still working on it)
💫 Community
Join Discord if you would like to chat or contribute
👥 Contribution
If you would like to contribute, please open a discussion and let's discuss there.
Step 1: Open a discussion about your idea
Step 2: Draft your PR and assign the maintainer as reviewr
Step 3: Maintainer merges the PR after review
💡 Wanted Feature
If you have some fantastic idea you want us to implement, please open an issue
🙏 Acknowledgements
This library is inspired by the following libraries:
🌟 Star History
[](https://star-history.com/#Knowly-ai/langtorch&Timeline)
Don't lose this
Three weeks from now, you'll want Langtorch again. Will you remember where to find it?
Save it to your library and the next time you need Langtorch, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
🔥 Building composable LLM applications & workflow with Java. Best for anyone looking to make their AI assistant more capable in communication. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
What's New
Imported from GitHub
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