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About
](https://pypi.org/project/langroid/) [ ](https://github.com/langroid/langroid/actions/workflows/pytest.yml) [ [](https://github.com/langroid/langroid/actions/workflows/docker-publish.yml)
](https://langroid.github.io/langroid) [ ](https://discord.gg/ZU36McDgDs) [
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Contributing
Langroid is an intuitive, lightweight, extensible and principled Python framework to easily build LLM-powered applications, from CMU and UW-Madison researchers. You set up Agents, equip them with optional components (LLM, vector-store and tools/functions), assign them tasks, and have them collaboratively solve a problem by exchanging messages. This Multi-Agent paradigm is inspired by the Actor Framework (but you do not need to know anything about this!).
Langroid is a fresh take on LLM app-development, where considerable thought has gone into simplifying the developer experience; it does not use Langchain, or any other LLM framework, and works with practically any LLM.
🔥 ✨ A Claude Code plugin is available to accelerate Langroid development with built-in patterns and best practices.
🔥 Read the (WIP) overview of the langroid architecture, and a quick tour of Langroid.
🔥 MCP Support: Allow any LLM-Agent to leverage MCP Servers via Langroid's simple MCP tool adapter that converts the server's tools into Langroid's ToolMessage instances.
📢 Companies are using/adapting Langroid in production. Here is a quote:
>Nullify uses AI Agents for secure software development.
It finds, prioritizes and fixes vulnerabilities. We have internally adapted Langroid's multi-agent orchestration framework in production, after evaluating CrewAI, Autogen, LangChain, Langflow, etc. We found Langroid to be far superior to those frameworks in terms of ease of setup and flexibility. Langroid's Agent and Task abstractions are intuitive, well thought out, and provide a great developer experience. We wanted the quickest way to get something in production. With other frameworks it would have taken us weeks, but with Langroid we got to good results in minutes. Highly recommended! -- Jacky Wong, Head of AI at Nullify.
Don't lose this
Three weeks from now, you'll want Langroid again. Will you remember where to find it?
Save it to your library and the next time you need Langroid, 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
Harness LLMs with Multi-Agent Programming. 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.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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